commit 33645b2d9db5f55f358affc9dfbcbc8591df420d Author: wehub-resource-sync Date: Mon Jul 13 13:02:44 2026 +0800 chore: import upstream snapshot with attribution diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..62c62cc --- /dev/null +++ b/.gitignore @@ -0,0 +1,38 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + +# Electron build output +release/ +.webpack/ + +# Next.js +.next/ +out/ + +# Misc +*.pem +.env +.env.* +!.env.example diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000..cfea548 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,9 @@ +[submodule "packages/Vibe-Workflow"] + path = packages/Vibe-Workflow + url = https://github.com/SamurAIGPT/Vibe-Workflow.git +[submodule "packages/Open-Poe-AI"] + path = packages/Open-Poe-AI + url = https://github.com/Anil-matcha/Open-Poe-AI.git +[submodule "packages/Open-AI-Design-Agent"] + path = packages/Open-AI-Design-Agent + url = https://github.com/Anil-matcha/Open-AI-Design-Agent diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..e0e71c3 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,28 @@ +FROM node:20-alpine AS base +WORKDIR /app + +# Install dependencies +FROM base AS deps +COPY package*.json ./ +COPY packages/Vibe-Workflow/packages/workflow-builder/package*.json ./packages/Vibe-Workflow/packages/workflow-builder/ +COPY packages/Open-Poe-AI/packages/agents/package*.json ./packages/Open-Poe-AI/packages/agents/ +COPY packages/Open-AI-Design-Agent/packages/design-agent/package*.json ./packages/Open-AI-Design-Agent/packages/design-agent/ +COPY packages/studio/package*.json ./packages/studio/ +RUN npm install + +# Build sub-packages +FROM deps AS builder +COPY . . +RUN npm run build:packages +RUN npm run build + +# Production runner +FROM base AS runner +ENV NODE_ENV=production +COPY --from=builder /app/.next ./.next +COPY --from=builder /app/public ./public +COPY --from=builder /app/node_modules ./node_modules +COPY --from=builder /app/package.json ./package.json + +EXPOSE 3000 +CMD ["npm", "start"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..84757c5 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 Open Generative AI Contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..4016dd0 --- /dev/null +++ b/README.md @@ -0,0 +1,573 @@ +# Open Generative AI โ€” Unrestricted Open-Source Alternative to AI Video Platforms + +[![Powered by MuAPI](https://img.shields.io/badge/Powered%20by-MuAPI-6366f1?style=flat-square&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0id2hpdGUiIGQ9Ik0xMiAyQzYuNDggMiAyIDYuNDggMiAxMnM0LjQ4IDEwIDEwIDEwIDEwLTQuNDggMTAtMTBTMTcuNTIgMiAxMiAyem0tMSAxNHYtNGgtMnYtMmg0djZoLTJ6bTAtOFY2aDJ2MmgtMnoiLz48L3N2Zz4=)](https://muapi.ai?utm_source=github&utm_medium=badge&utm_campaign=open-generative-ai) + + +> **The free, open-source alternative to AI Video Platforms.** Generate AI images and videos using 200+ state-of-the-art models โ€” no content filters, no closed ecosystem, no subscription fees. + +**Community:** Join [Discord](https://discord.gg/tANKJkHck) for discussions and support + +

+ + Awesome Generative AI Apps + +

+ +> ๐ŸŽจ **[Explore 50+ more open-source AI apps โ†’](https://github.com/Anil-matcha/awesome-generative-ai-apps)** + +## Related Projects + +> ๐Ÿค– **Automate media generations with AI coding agents:** [Generative-Media-Skills](https://github.com/SamurAIGPT/Generative-Media-Skills) โ€” a library of skills that let agents like **Claude Code**, **Codex**, and other coding assistants drive 200+ image/video models end-to-end (prompt โ†’ generate โ†’ edit โ†’ stitch) directly from your terminal. Perfect for building automated media pipelines without touching a UI. + +> ๐ŸŽฌ **Seedance 2.5 prompts & API guide:** [awesome-seedance-2.5-api-prompts](https://github.com/Anil-matcha/awesome-seedance-2.5-api-prompts) โ€” Curated prompt templates, camera control vocabulary, MuAPI reference, and cinematic examples for Seedance 2.5 video generation. + +> ๐ŸŽฅ **Seedance 2.5 Python SDK:** [Seedance-2.5-API](https://github.com/SamurAIGPT/Seedance-2.5-API) โ€” Python wrapper for ByteDance's Seedance 2.5 API โ€” text-to-video, image-to-video, realistic human faces, character consistency. + +> ๐ŸŒ **Claude Fable 5 use cases + 20% off on MuAPI:** [awesome-claude-fable-5](https://github.com/Anil-matcha/awesome-claude-fable-5) โ€” 60 curated real-world use cases, prompts, and benchmarks for Claude Fable 5, with **20% off Fable 5 access** via [MuAPI](https://muapi.ai/pricing?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai). + +- [Vadoo](https://vadoo.tv) โ€” Unrestricted AI image & video generation โ†’ auto-publish as YouTube Shorts and TikToks & earn +- [AI-Youtube-Shorts-Generator](https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator) โ€” Auto-generate viral YouTube Shorts from long-form videos using AI +- [muapi-cli](https://github.com/SamurAIGPT/muapi-cli) โ€” Official CLI for MuAPI โ€” run these models from your terminal +- [Vibe-Workflow](https://github.com/SamurAIGPT/Vibe-Workflow) โ€” Node-based AI workflow builder for generative image & video pipelines +- [Text-To-Video-AI](https://github.com/SamurAIGPT/Text-To-Video-AI) โ€” Lightweight text-to-video script โ€” no UI required +- [muapi-comfyui](https://github.com/SamurAIGPT/muapi-comfyui) โ€” ComfyUI nodes for 100+ MuAPI models +- [n8n-nodes-muapi](https://github.com/SamurAIGPT/n8n-nodes-muapi) โ€” n8n community nodes for MuAPI โ€” automate media generation +- [Open-AI-Design-Agent](https://github.com/Anil-matcha/Open-AI-Design-Agent) โ€” Open-source autonomous AI design agent +- [Free-AI-Social-Media-Scheduler](https://github.com/Anil-matcha/Free-AI-Social-Media-Scheduler) โ€” Free open-source AI social media scheduler โ€” self-hostable alternative to Buffer and Hootsuite +- [awesome-seedance-2.5-api-prompts](https://github.com/Anil-matcha/awesome-seedance-2.5-api-prompts) โ€” Curated Seedance 2.5 API guide, prompts, camera controls, and video generation examples +- [AI-Voice-Agent](https://github.com/Anil-matcha/AI-Voice-Agent) โ€” Self-hosted AI voice agent for real-time voice conversations, sales calls, and customer support + +## ๐ŸŒ Try it Online โ€” No Install Required + +**Hosted version:** [https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai](https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) + +Use all studios (Image, Video, Audio, AI Clipping, Vibe Motion, Lip Sync, Cinema, Marketing, Workflows, Agents, Design Agent, Apps, MCP & CLI) directly in your browser โ€” no Node.js, no setup. Sign up for a free account to start generating. The hosted version is always up to date with the latest models. + +**Follow** the [creator](https://x.com/matchaman11) for updates + +--- + +## โฌ‡๏ธ Download Desktop App + +One-click installers โ€” no Node.js or terminal required. + +| Platform | Download | +|---|---| +| macOS Apple Silicon (M1/M2/M3/M4) | [Open Generative AI-1.0.9-arm64.dmg](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI-1.0.9-arm64.dmg) | +| macOS Intel (x64) | [Open Generative AI-1.0.9.dmg](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI-1.0.9.dmg) | +| Windows (x64) | [Open Generative AI Setup 1.0.9.exe](https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.9/Open.Generative.AI.Setup.1.0.9.exe) | +| Linux (Ubuntu x64) | [v1.0.9 release](https://github.com/Anil-matcha/Open-Generative-AI/releases/tag/v1.0.9) (`.AppImage` / `.deb`), or build locally with `npm run electron:build:linux`. | + +All releases: [github.com/Anil-matcha/Open-Generative-AI/releases](https://github.com/Anil-matcha/Open-Generative-AI/releases) + +### macOS Installation Guide + +Because the app is not notarized by Apple, macOS Gatekeeper will block it on first launch. Follow these steps: + +**Step 1** โ€” Mount the DMG and drag the app to `/Applications` + +**Step 2** โ€” Open Terminal and run: +```bash +xattr -cr "/Applications/Open Generative AI.app" +``` + +**Step 3** โ€” Right-click the app in `/Applications` โ†’ click **Open** โ†’ click **Open** again on the dialog + +> You only need to do this once. After that, the app opens normally. + +**Alternative (no Terminal):** +1. Try to open the app โ€” macOS will block it +2. Go to **System Settings โ†’ Privacy & Security** +3. Scroll down to find _"Open Generative AI was blocked"_ +4. Click **Open Anyway** โ†’ **Open** + +### Windows Installation โ€” SmartScreen warning fix + +Windows SmartScreen may show a warning because the installer is not code-signed: + +1. Click **More info** on the SmartScreen dialog +2. Click **Run anyway** + +The app will install silently to `%LocalAppData%` with a Start Menu shortcut. + +### Ubuntu / Linux Installation + +Linux artifacts are available when building with Electron Builder: + +```bash +# Build Linux installers (AppImage + .deb) +npm run electron:build:linux +``` + +Generated files are written to the `release/` folder: +- **AppImage** โ€” portable, run directly after making executable: + ```bash + chmod +x "release/Open Generative AI-*.AppImage" + ./release/Open\ Generative\ AI-*.AppImage + ``` +- **.deb** โ€” install on Debian/Ubuntu: + ```bash + sudo apt install ./release/open-generative-ai_*_amd64.deb + ``` + +If AppImage fails to start on older systems, install `libfuse2`: + +```bash +sudo apt install libfuse2 +``` + +#### Ubuntu 24.04+ / AppArmor sandbox restriction + +Ubuntu 24.04 and later enable a kernel security policy (`apparmor_restrict_unprivileged_userns`) that blocks Chromium's user-namespace sandbox. If the app fails to start silently or crashes immediately, you have two options: + +**Option A โ€” Recommended: install the `.deb` instead.** +The `.deb` package ships an AppArmor profile that grants the required permission automatically on install with no system-wide changes. + +**Option B โ€” Temporary system fix (AppImage users):** +```bash +sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0 +``` +This lasts until next reboot. To make it permanent: +```bash +echo 'kernel.apparmor_restrict_unprivileged_userns=0' | sudo tee /etc/sysctl.d/99-userns.conf +``` + +--- + +Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that brings creative workflows to everyone. No content filters, no prompt rejections, no guardrails โ€” just full creative freedom. Powered by [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai), it supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across models like Flux, Nano Banana, Midjourney, Kling, Sora, Veo, Seedream, Infinite Talk, LTX Lipsync, Wan 2.2, and more โ€” all from a sleek, modern interface you can self-host and customize. + +**Why Open Generative AI instead of other AI Video Platforms?** +- **No filters** โ€” no content filters, no nanny guardrails, no prompt rejections +- **Free & open-source** โ€” no subscription, no vendor lock-in +- **Self-hosted** โ€” your data stays on your machine, full creative control +- **200+ models** โ€” text-to-image, image-to-image, text-to-video, image-to-video, lip sync +- **Multi-image input** โ€” feed up to 14 reference images into compatible models +- **Lip Sync Studio** โ€” animate portraits or sync lips to any audio with 9 dedicated models +- **Extensible** โ€” add your own models, modify the UI, build on top of it + +For a deep dive into the technical architecture and the philosophy behind the "Infinite Budget" cinema workflow, see our [comprehensive guide and roadmap](https://medium.com/@anilmatcha/). + +## โšก Local Model Inference (Desktop App Only) + +The desktop app supports **two independent local engines**. Pick whichever fits the machine you actually run on: + +| Engine | What it is | Best for | +|---|---|---| +| **sd.cpp** (bundled) | C++ engine from [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp), runs on the same machine as the app. Metal GPU on Apple Silicon, CUDA/Vulkan/ROCm on Linux/Windows. | Image-only models. Works on Mac M-series. | +| **Wan2GP** (BYO server) | HTTP client to a user-run [Wan2GP](https://github.com/deepbeepmeep/Wan2GP) server. The server runs Python + PyTorch on a CUDA/ROCm GPU; the desktop app only sends prompts and receives results. | Video models (Wan 2.2, Hunyuan, LTX) and large image models (Flux, Qwen-Image). NVIDIA/AMD GPU required on the *server*; the desktop app itself can run on a Mac. | + +Both engines share the same UI: open **Settings โ†’ Local Models** to configure each. + +### Engine 1 โ€” sd.cpp (bundled) + +| Model | Type | Size | Notes | +|---|---|---|---| +| **Z-Image Turbo** โšก | Diffusion Transformer | 2.5 GB + 2.7 GB aux | 8-step turbo. Heavy on memory. | +| **Z-Image Base** โšก | Diffusion Transformer | 3.5 GB + 2.7 GB aux | 50-step high-quality. Heavy on memory. | +| **Dreamshaper 8** | SD 1.5 | 2.1 GB | 20-step versatile. Lightest tested option on Mac. | +| **Realistic Vision v5.1** | SD 1.5 | 2.1 GB | 25-step photorealistic | +| **Anything v5** | SD 1.5 | 2.1 GB | 20-step anime/illustration | +| **SDXL Base 1.0** | SDXL | 6.9 GB | 30-step high-res | + +> **Z-Image models** require two shared auxiliary files (downloaded once, shared across both models): +> - **Qwen3-4B Text Encoder** โ€” 2.4 GB +> - **FLUX VAE** โ€” 335 MB + +**How to use:** +1. Open **Settings โ†’ Local Models** in the desktop app +2. Install the **sd.cpp inference engine** (one click โ€” auto-downloaded) +3. Download your chosen model (and auxiliary files for Z-Image) +4. In **Image Studio**, click the **โšก Local** toggle next to the model selector +5. Select your local model and generate โ€” no API key needed + +All downloads happen inside the app. Nothing is installed system-wide. + +By default, `sd.cpp` stores the engine, model weights, and temporary downloads under Electron's app data directory. Common paths are: + +- macOS: `~/Library/Application Support/open-generative-ai/local-ai` +- Windows: `%APPDATA%\open-generative-ai\local-ai` +- Linux: `~/.config/open-generative-ai/local-ai` + +To keep multi-GB model weights on another drive, set `OPEN_GENERATIVE_AI_LOCAL_AI_DIR` +before launching the desktop app. The app will create `bin/`, `models/`, and `tmp/` +inside that directory, and **Settings -> Local Models** shows the resolved model folder. +Local engine output and download errors are written to the app process console, so launch +from Terminal or PowerShell when you need troubleshooting logs. + +### Engine 2 โ€” Wan2GP (remote Gradio server) + +The app does **not** bundle Python or model weights for Wan2GP. You run Wan2GP yourself on a machine with a CUDA or ROCm GPU and point the desktop app at its URL. + +```bash +# On your GPU machine +git clone https://github.com/deepbeepmeep/Wan2GP +cd Wan2GP +./install.sh # or install.bat on Windows +python wgp.py --listen --server-name 0.0.0.0 # binds to all interfaces +``` + +Then in the desktop app: **Settings โ†’ Local Models โ†’ Wan2GP server**, paste the URL (e.g. `http://192.168.1.42:7860`), click **Test**, then **Save**. The Wan2GP models become available โ€” image models in **Image Studio**, video models reachable via the same generation API (Image Studio rejects video output explicitly; full Video Studio wiring is on the roadmap). + +| Model | Type | Notes | +|---|---|---| +| **Flux.1 Dev** | Image | 1024px, 28 steps | +| **Qwen Image** | Image | 1024px, 30 steps | +| **Wan 2.2 (T2V / I2V)** | Video | Slow on consumer GPUs | +| **Hunyuan Video** | Video | High-quality T2V | +| **LTX Video** | Video | Fastest video option | + +> **Why a separate server?** Wan2GP's runtime (Sage attention, flash-attn, AWQ/GGUF kernels) is CUDA-only โ€” there is no MPS / Apple Silicon path. Treating it as a remote server lets a Mac-only user keep the desktop app while offloading inference to a Linux/Windows GPU box, a gaming PC on the LAN, or a rented RunPod/vast.ai instance. + +> **Local inference is only available in the desktop app.** The hosted web version always uses cloud APIs. + +### Hardware Notes + +- **sd.cpp** runs on CPU (all platforms) and **Metal GPU** on Apple Silicon (M1/M2/M3/M4); CUDA/Vulkan/ROCm on Linux/Windows. +- Metal GPU acceleration is built into the macOS desktop binary โ€” significantly faster than CPU-only. +- Recommended for sd.cpp Z-Image: 16 GB RAM (7.4 GB weights + 2.4 GB compute buffer). On a base 8 GB M-series Mac, **Z-Image is known to hang the system** โ€” stick to SD 1.5 there. +- For SD 1.5 on M2: expect ~1โ€“2 s/step with the Metal dylib active. If you see ~10 s/step instead, the binary may have fallen back to CPU โ€” see verification below. + +### Verifying the SD 1.5 path (the fastest sanity test on Mac) + +If you want to confirm sd.cpp is installed correctly without going through the UI, you can drive `sd-cli` directly. This is the same binary the app uses. + +```bash +# 1. App data layout (created on first app launch) +APP_DATA="${OPEN_GENERATIVE_AI_LOCAL_AI_DIR:-$HOME/Library/Application Support/open-generative-ai/local-ai}" +ls "$APP_DATA/bin" # sd-cli, libstable-diffusion.dylib +ls "$APP_DATA/models" # whatever you've downloaded + +# 2. Grab a small SD 1.5 model directly (Dreamshaper 8, ~2 GB) +curl -L --fail --progress-bar \ + -o "$APP_DATA/models/DreamShaper_8_pruned.safetensors" \ + "https://huggingface.co/Lykon/DreamShaper/resolve/main/DreamShaper_8_pruned.safetensors" + +# 3. Run a single 512x512 / 12-step inference +DYLD_LIBRARY_PATH="$APP_DATA/bin" "$APP_DATA/bin/sd-cli" \ + -m "$APP_DATA/models/DreamShaper_8_pruned.safetensors" \ + -p "a serene mountain lake at sunrise, oil painting" \ + -o /tmp/sd15-test.png \ + --steps 12 -H 512 -W 512 --cfg-scale 7.5 --seed 42 \ + --sampling-method euler_a +``` + +A healthy run on Apple Silicon prints `total params memory size = 1969.78MB (VRAM 1969.78MB, RAM 0.00MB)` (Metal-backed) and produces a coherent 512ร—512 PNG. If `VRAM` is `0.00MB` instead, the dylib is CPU-only โ€” check `otool -L "$APP_DATA/bin/libstable-diffusion.dylib" | grep -i metal` and reinstall the engine from **Settings โ†’ Local Models** if Metal is missing. + +--- + +## โœจ Features + +- **Image Studio** โ€” Generate images from text prompts (50+ text-to-image models) or transform existing images (55+ image-to-image models). Switches model set automatically based on whether a reference image is provided. Quality and resolution controls visible for models that support them. +- **Local Inference** โ€” Two engines: **sd.cpp** (bundled, runs on Mac/Win/Linux with Metal/CUDA/Vulkan/ROCm) for SD 1.5, SDXL, and Z-Image; and **Wan2GP** (BYO Gradio server) for Flux, Qwen-Image, and video models (Wan 2.2, Hunyuan, LTX). Configure both in Settings โ†’ Local Models. +- **Multi-Image Input** โ€” Upload up to 14 reference images for compatible edit models (Nano Banana 2 Edit, Flux Kontext Dev, GPT-4o Edit, and more). Multi-select picker with order badges, batch upload, and a "Use Selected" confirmation flow. +- **Video Studio** โ€” Generate videos from text prompts (40+ text-to-video models) or animate a start-frame image (60+ image-to-video models). Same intelligent mode switching as Image Studio. +- **Lip Sync Studio** โ€” Animate portrait images or sync lips on existing videos using audio. 9 dedicated models across two modes: portrait image + audio โ†’ talking video, and video + audio โ†’ lipsync video. +- **Cinema Studio** โ€” Interface for photorealistic cinematic shots with pro camera controls (Lens, Focal Length, Aperture) +- **Workflow Studio** โ€” Build and run multi-step AI pipelines visually. Chain image, video, and audio models into automated flows. Browse community templates, create your own with a node-based editor, and run them via an interactive playground. +- **Upload History** โ€” Reference images are uploaded once and stored locally. A picker panel lets you reuse any previously uploaded image across sessions โ€” no re-uploading. +- **Smart Controls** โ€” Dynamic aspect ratio, resolution/quality, and duration pickers that adapt to each model's capabilities (including t2i models with resolution or quality options) +- **Generation History** โ€” Browse, revisit, and download all past generations (persisted in browser storage) +- **Image & Video Download** โ€” One-click download of generated outputs in full resolution +- **API Key Management** โ€” Secure API key storage in browser localStorage (never sent to any server except Muapi) +- **Responsive Design** โ€” Works seamlessly on desktop and mobile with dark glassmorphism UI + +### ๐Ÿ–ผ๏ธ Image Studio โ€” Dual Mode + +The Image Studio automatically switches between two model sets: + +| Mode | Trigger | Models | Prompt | +| :--- | :--- | :--- | :--- | +| **Text-to-Image** | Default (no image) | 50+ t2i models (Flux, Nano Banana 2, Seedream 5.0, Ideogram, GPT-4o, Midjourneyโ€ฆ) | Required | +| **Image-to-Image** | Reference image uploaded | 55+ i2i models (Kontext, Nano Banana 2 Edit, Seedream 5.0 Edit, Seededit, Upscalerโ€ฆ) | Optional | + +#### Newly Added Models + +| Model | Type | Key Features | +| :--- | :--- | :--- | +| **Nano Banana 2** | Text-to-Image | Google Gemini 3.1 Flash Image ยท Resolution 1K/2K/4K ยท Google Search enhancement ยท aspect ratio `auto` | +| **Nano Banana 2 Edit** | Image-to-Image | Up to **14 reference images** ยท Resolution 1K/2K/4K ยท Google Search enhancement | +| **Seedream 5.0** | Text-to-Image | ByteDance ยท Quality basic/high ยท 8 aspect ratios ยท up to 4K | +| **Seedream 5.0 Edit** | Image-to-Image | ByteDance ยท Natural language style transfer ยท Quality basic/high | +| **MiniMax Image 01** | Text-to-Image | MiniMax ยท 8 aspect ratios ยท up to 4 images per request ยท 1500 char prompt | + +#### Multi-Image Input + +Models that accept multiple reference images expose a multi-select picker when active: + +| Model | Max Images | +| :--- | :--- | +| Nano Banana 2 Edit | 14 | +| Nano Banana Edit | 10 | +| Flux Kontext Dev I2I | 10 | +| Kling O1 Edit Image | 10 | +| GPT-4o Edit / GPT Image 1.5 Edit | 10 | +| Bytedance Seedream Edit v4 / v4.5 | 10 | +| Vidu Q2 Reference to Image | 7 | +| Flux 2 Flex/Pro Edit | 8 | +| Nano Banana Pro Edit | 8 | +| Flux Kontext Pro/Max I2I | 2 | +| Wan 2.5/2.6 Image Edit | 2โ€“3 | +| Qwen Image Edit Plus / 2511 | 3 | +| GPT-4o Image to Image | 5 | +| Flux 2 Klein 4b/9b Edit | 4 | + +When a multi-image model is selected the upload trigger switches to multi-select mode: +- **Checkboxes with order numbers** โ€” images are sent to the model in the order you select them +- **Batch upload** โ€” pick multiple files at once from your file dialog +- **Count badge** on the trigger shows how many images are active; a `+` badge appears when more slots are available +- **"Use Selected" button** confirms and closes the picker + +### ๐ŸŽฌ Video Studio โ€” Dual Mode + +The Video Studio follows the same pattern: + +| Mode | Trigger | Models | Prompt | +| :--- | :--- | :--- | :--- | +| **Text-to-Video** | Default (no image) | 40+ t2v models (Kling, Sora, Veo, Wan, Seedance 2.0, Hailuo, Runwayโ€ฆ) | Required | +| **Image-to-Video** | Start frame uploaded | 60+ i2v models (Kling I2V, Veo3 I2V, Runway I2V, Wan I2V, Seedance 2.0 I2V, Midjourney I2Vโ€ฆ) | Optional | + +#### Newly Added Models + +| Model | Type | Key Features | +| :--- | :--- | :--- | +| **Seedance 2.0** | Text-to-Video | ByteDance ยท Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 ยท Duration 5 / 10 / 15s ยท Quality basic/high | +| **Seedance 2.0 I2V** | Image-to-Video | ByteDance ยท Animate images into video ยท Up to 9 reference images ยท Aspect ratios 16:9 / 9:16 / 4:3 / 3:4 ยท Duration 5 / 10 / 15s ยท Quality basic/high | +| **Seedance 2.0 Extend** | Video Extension | ByteDance ยท Seamlessly continue any Seedance 2.0 generation ยท Preserves style, motion & audio ยท Optional continuation prompt ยท Duration 5 / 10 / 15s ยท Quality basic/high | +| **Grok Imagine T2V** | Text-to-Video | xAI ยท Duration 6 / 10 / **15s** ยท Modes: fun / normal / spicy ยท Aspect ratios 9:16 / 16:9 / 2:3 / 3:2 / 1:1 | +| **Grok Imagine I2V** | Image-to-Video | xAI ยท Duration 6 / 10 / **15s** ยท Modes: fun / normal / spicy ยท Cinematic motion from still images | +| **MiniMax Hailuo 02 / 2.3 Standard & Pro** | Text-to-Video / Image-to-Video | MiniMax ยท Full HD video ยท Multiple aspect ratios ยท Fast variant included | + +### ๐ŸŽ™๏ธ Lip Sync Studio + +The **Lip Sync Studio** generates audio-driven talking videos using 9 models across two input modes: + +| Mode | Trigger | Description | +| :--- | :--- | :--- | +| **Portrait Image** | Default | Upload a portrait image + audio file โ†’ animated talking video | +| **Video** | Switch to Video mode | Upload an existing video + audio file โ†’ lipsync video | + +#### Image-based Models (Portrait Image + Audio โ†’ Video) + +| Model | Endpoint | Resolutions | Prompt | +| :--- | :--- | :--- | :--- | +| **Infinite Talk** | `infinitetalk-image-to-video` | 480p, 720p | Optional | +| **Wan 2.2 Speech to Video** | `wan2.2-speech-to-video` | 480p, 720p | Optional | +| **LTX 2.3 Lipsync** | `ltx-2.3-lipsync` | 480p, 720p, 1080p | Optional | +| **LTX 2 19B Lipsync** | `ltx-2-19b-lipsync` | 480p, 720p, 1080p | Optional | + +#### Video-based Models (Video + Audio โ†’ Lipsync Video) + +| Model | Endpoint | Resolutions | Prompt | +| :--- | :--- | :--- | :--- | +| **Sync Lipsync** | `sync-lipsync` | โ€” | โ€” | +| **LatentSync** | `latentsync-video` | โ€” | โ€” | +| **Creatify Lipsync** | `creatify-lipsync` | โ€” | โ€” | +| **Veed Lipsync** | `veed-lipsync` | โ€” | โ€” | +| **Infinite Talk V2V** | `infinitetalk-video-to-video` | 480p, 720p | Optional | + +**How it works:** +1. Select **Portrait Image** or **Video** mode using the toggle +2. Upload your portrait image (or video) using the image/video upload button +3. Upload your audio file using the audio upload button +4. Optionally enter a prompt to guide the motion style +5. Select a model and resolution (where supported), then click **Generate** + +Generation history is saved separately in `lipsync_history` and pending jobs resume automatically on page reload. + +### ๐Ÿ”€ Workflow Studio + +The **Workflow Studio** lets you build and run multi-step AI pipelines without writing code. + +**Key capabilities:** +- **Templates** โ€” Start from pre-built workflows (image chains, video pipelines, and more) +- **My Workflows** โ€” Save and manage your own custom pipelines +- **Community** โ€” Browse and run workflows published by other users +- **Node-based Builder** โ€” Drag-and-drop visual editor to connect models and route outputs between steps +- **Playground** โ€” Run any workflow interactively with a form UI; results render inline +- **API execution** โ€” Every workflow is also callable via the Muapi API + +> ๐Ÿ’ก **Want to add workflows to your own app?** Check out **[Vibe Workflow](https://github.com/SamurAIGPT/Vibe-Workflow)** โ€” the open-source workflow engine powering this feature. Drop it into any project. + +### ๐ŸŽฅ Cinema Studio Controls + +The **Cinema Studio** offers precise control over the virtual camera, translating your choices into optimized prompt modifiers: + +| Category | Available Options | +| :--- | :--- | +| **Cameras** | Modular 8K Digital, Full-Frame Cine Digital, Grand Format 70mm Film, Studio Digital S35, Classic 16mm Film, Premium Large Format Digital | +| **Lenses** | Creative Tilt, Compact Anamorphic, Extreme Macro, 70s Cinema Prime, Classic Anamorphic, Premium Modern Prime, Warm Cinema Prime, Swirl Bokeh Portrait, Vintage Prime, Halation Diffusion, Clinical Sharp Prime | +| **Focal Lengths** | 8mm (Ultra-Wide), 14mm, 24mm, 35mm (Human Eye), 50mm (Portrait), 85mm (Tight Portrait) | +| **Apertures** | f/1.4 (Shallow DoF), f/4 (Balanced), f/11 (Deep Focus) | + +### ๐Ÿ“ Upload History & Picker + +Every image you upload is saved locally (URL + thumbnail) so you never upload the same file twice: + +- Click the upload button to open the **reference image picker** +- Previously uploaded images appear in a 3-column grid with thumbnails +- **Single-image models** โ€” click a thumbnail to instantly select and close +- **Multi-image models** โ€” toggle multiple thumbnails (shown with order numbers), then click **Use Selected** +- Upload new images with the **Upload files** button (supports multi-file selection in multi-image mode) +- Remove individual images from history with the โœ• button +- History persists across browser sessions (stored in `localStorage`) + +## ๐Ÿš€ Quick Start + +### Prerequisites + +- [Node.js](https://nodejs.org/) (v18+) +- A [Muapi.ai access key](https://muapi.ai/access-keys?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai). Copy the generated key value into the app; do not enter the key name or label. + +### Setup + +> **Most users want the desktop app, not this dev path.** If you just want to run Open Generative AI on your machine, [download a prebuilt installer](#-download-desktop-app) instead โ€” no Node.js required. The instructions below are for contributors building from source. + +Pick the entry point that matches your goal: + +- **Desktop app (Electron)** โ†’ `npm run electron:dev` +- **Hosted web version (Next.js)** โ†’ `npm run dev` + +```bash +# Clone the repository (with submodules โ€” required for the workflow + agent packages) +git clone --recurse-submodules https://github.com/Anil-matcha/Open-Generative-AI.git +cd Open-Generative-AI + +# If you already cloned without --recurse-submodules, run this once: +# git submodule update --init --recursive + +# Install dependencies + build workspace packages (studio, workflow, agents). +# This step is REQUIRED โ€” `npm install` alone is not enough; the workspaces +# need to be built before either dev script will work. +npm run setup + +# Then start ONE of: +npm run electron:dev # Desktop app (Electron + Vite) โ€” recommended +npm run dev # Hosted web version (Next.js) โ†’ http://localhost:3000 +``` + +You'll be prompted to enter your Muapi API key on first use (skip the key if you only plan to use local models). + +> **Troubleshooting โ€” `Couldn't find a 'pages' directory`**: this means Next.js can't see the `app/` folder. Confirm you're running `npm run dev` from the repo root (the directory that contains `app/`, `package.json`, and `next.config.mjs`), and that you cloned with submodules. Re-run `npm run setup` if `packages/Vibe-Workflow` or `packages/agents` are empty. + +### Production Build + +```bash +npm run build +npm run start +``` + +### Desktop App Build + +Build native desktop apps with Electron: + +```bash +# macOS (DMG โ€” Intel + Apple Silicon) +npm run electron:build + +# Windows (NSIS installer โ€” x64 + ARM64) +npm run electron:build:win + +# Linux (AppImage + DEB โ€” x64) +npm run electron:build:linux + +# Both platforms in one pass +npm run electron:build:all +``` + +Installers are output to the `release/` folder. Pre-built binaries are also available on the [Releases page](https://github.com/Anil-matcha/Open-Generative-AI/releases). + +## ๐Ÿ—๏ธ Architecture + +The app is a **Next.js monorepo** with a shared `packages/studio` component library. + +``` +Open-Generative-AI/ +โ”œโ”€โ”€ app/ # Next.js App Router +โ”‚ โ”œโ”€โ”€ layout.js # Root layout (Tailwind, fonts) +โ”‚ โ”œโ”€โ”€ page.js # Redirects โ†’ /studio +โ”‚ โ””โ”€โ”€ studio/ +โ”‚ โ””โ”€โ”€ page.js # Studio page โ€” renders StandaloneShell +โ”œโ”€โ”€ components/ +โ”‚ โ”œโ”€โ”€ StandaloneShell.js # Tab nav + BYOK (API key from localStorage) +โ”‚ โ””โ”€โ”€ ApiKeyModal.js # API key entry modal +โ”œโ”€โ”€ packages/ +โ”‚ โ””โ”€โ”€ studio/ # Shared React component library +โ”‚ โ””โ”€โ”€ src/ +โ”‚ โ”œโ”€โ”€ index.js # Exports: ImageStudio, VideoStudio, AudioStudio, ClippingStudio, VibeMotionStudio, LipSyncStudio, CinemaStudio, MarketingStudio, WorkflowStudio, AgentStudio, DesignAgentStudio, AppsStudio, McpCliStudio +โ”‚ โ”œโ”€โ”€ models.js # 200+ model definitions (single source of truth) +โ”‚ โ”œโ”€โ”€ muapi.js # API client (named exports, apiKey as first param) +โ”‚ โ””โ”€โ”€ components/ +โ”‚ โ”œโ”€โ”€ ImageStudio.jsx # Dual-mode t2i/i2i studio +โ”‚ โ”œโ”€โ”€ VideoStudio.jsx # Dual-mode t2v/i2v studio +โ”‚ โ”œโ”€โ”€ LipSyncStudio.jsx # Portrait/video + audio โ†’ talking video +โ”‚ โ”œโ”€โ”€ CinemaStudio.jsx # Pro studio with camera controls +โ”‚ โ””โ”€โ”€ WorkflowStudio.jsx # Multi-step pipeline builder & playground +โ”œโ”€โ”€ next.config.mjs # transpilePackages: ['studio'] +โ”œโ”€โ”€ tailwind.config.js +โ””โ”€โ”€ package.json # workspaces: ["packages/studio"] +``` + +The `packages/studio` library is also consumed by the hosted version on [muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) โ€” model updates made in `packages/studio/src/models.js` apply to both the self-hosted app and the hosted version automatically. + +## ๐Ÿ”Œ API Integration + +The app communicates with [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) using a two-step pattern: + +1. **Submit** โ€” `POST /api/v1/{model-endpoint}` with prompt and parameters +2. **Poll** โ€” `GET /api/v1/predictions/{request_id}/result` until status is `completed` + +Authentication uses the `x-api-key` header. During development, a Vite proxy handles CORS by routing `/api` requests to `https://api.muapi.ai`. + +File uploads use `POST /api/v1/upload_file` (multipart/form-data) and return a hosted URL that is passed to image-conditioned models. For multi-image models the full `images_list` array is forwarded to the API in one request. + +Lip sync jobs use the same two-step pattern: a dedicated `processLipSync()` method accepts `image_url` or `video_url` alongside `audio_url`, dispatches to the model's endpoint, and polls until the output video URL is available. + +## ๐ŸŽจ Supported Model Categories + +| Category | Count | Examples | +|---|---|---| +| **Text-to-Image** | 50+ | Flux Dev, Nano Banana 2, Seedream 5.0, Ideogram v3, Midjourney v7, GPT-4o, SDXL | +| **Image-to-Image** | 55+ | Nano Banana 2 Edit (ร—14), Flux Kontext Pro, GPT-4o Edit, Seededit v3, Upscaler, Background Remover | +| **Text-to-Video** | 40+ | Kling v3, Sora 2, Veo 3, Wan 2.6, Seedance 2.0, Seedance 2.0 Extend, Seedance Pro, Hailuo 2.3, Runway Gen-3 | +| **Image-to-Video** | 60+ | Kling v2.1 I2V, Veo3 I2V, Runway I2V, Seedance 2.0 I2V, Midjourney v7 I2V, Hunyuan I2V, Wan2.2 I2V | +| **Lip Sync** | 9 | Infinite Talk I2V, Wan 2.2 Speech to Video, LTX 2.3 Lipsync, LTX 2 19B Lipsync, Sync, LatentSync, Creatify, Veed, Infinite Talk V2V | + +## ๐Ÿ› ๏ธ Tech Stack + +- **Next.js 14** โ€” App Router, server components, fast dev server +- **React 18** โ€” Studio UI components +- **Tailwind CSS v3** โ€” Utility-first styling +- **npm workspaces** โ€” Monorepo with shared `packages/studio` library +- **Muapi.ai** โ€” AI model API gateway + +## ๐Ÿค” How is this different from other AI Video Platforms? + +**Open Generative AI** is a community-driven, open-source alternative that provides similar creative capabilities without the closed ecosystem: + +| | Other providers | Open Generative AI | +| :--- | :--- | :--- | +| **Cost** | Subscription-based | Free (open-source) | +| **Content filters** | Yes โ€” prompts blocked or altered | None | +| **Restrictions** | Platform guardrails enforced | Full creative freedom | +| **Models** | Proprietary | 200+ open & commercial models | +| **Multi-image input** | Limited | Up to 14 images per request | +| **Lip sync** | No | 9 models, image & video modes | +| **Hosted version** | Subscription | Free at [muapi.ai/open-generative-ai](https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) | +| **Self-hosting** | No | Yes | +| **Customizable** | No | Fully hackable | +| **Data privacy** | Cloud-based | Your data stays local | +| **Source code** | Closed | MIT licensed | + +## ๐Ÿ“„ License + +MIT + +## ๐Ÿ™ Credits + +Built with [Muapi.ai](https://muapi.ai?utm_source=github&utm_medium=readme&utm_campaign=open-generative-ai) โ€” the unified API for AI image and video generation models. + +--- +**Deep Dive**: For more details on the "AI Influencer" engine, upcoming "Popcorn" storyboarding features, and the future of this project, read the [full technical overview](https://medium.com/@anilmatcha/). + +--- +*Looking for a free, open-source AI Video Platform? Open Generative AI is an open-source AI image and video generation studio โ€” with no content filters that you can self-host, customize, and extend.* diff --git a/README.wehub.md b/README.wehub.md new file mode 100644 index 0000000..4f5bf2e --- /dev/null +++ b/README.wehub.md @@ -0,0 +1,7 @@ +# WeHub ๆฅๆบ่ฏดๆ˜Ž + +- ๅŽŸๅง‹้กน็›ฎ๏ผš`Anil-matcha/Open-Generative-AI` +- ๅŽŸๅง‹ไป“ๅบ“๏ผšhttps://github.com/Anil-matcha/Open-Generative-AI +- ๅฏผๅ…ฅๆ–นๅผ๏ผšไธŠๆธธ้ป˜่ฎคๅˆ†ๆ”ฏ็š„ๆœ€ๆ–ฐๅฟซ็…ง +- ๅŽŸไฝœ่€…ใ€็‰ˆๆƒๅ’Œ่ฎธๅฏ่ฏไฟกๆฏไปฅๅŽŸๅง‹ไป“ๅบ“ๅŠๆœฌไป“ๅบ“ LICENSE ไธบๅ‡† +- ๆœฌๆ–‡ไปถไป…็”จไบŽ่ฎฐๅฝ•ๆฅๆบ๏ผŒไธไปฃ่กจ WeHub ๆ˜ฏๅŽŸ้กน็›ฎไฝœ่€… diff --git a/afterPack.js b/afterPack.js new file mode 100644 index 0000000..f407ee0 --- /dev/null +++ b/afterPack.js @@ -0,0 +1,38 @@ +import { execSync } from 'child_process'; +import path from 'path'; +import fs from 'fs'; + +export default async function afterPack({ appOutDir, packager }) { + const platformName = packager.platform.name; + + // Remove Next.js SWC native binaries that don't belong on this target platform. + // They are bundled because `next` is in dependencies, but only the host-platform + // binary is ever used at runtime in the Electron app. + const nextDir = path.join(appOutDir, + platformName === 'mac' + ? `${packager.appInfo.productName}.app/Contents/Resources` + : 'resources', + 'app.asar.unpacked/node_modules/@next' + ); + + if (fs.existsSync(nextDir)) { + const keepPrefix = platformName === 'mac' ? 'swc-darwin' + : platformName === 'windows' ? 'swc-win32' + : 'swc-linux'; + + for (const entry of fs.readdirSync(nextDir)) { + if (entry.startsWith('swc-') && !entry.startsWith(keepPrefix)) { + const fullPath = path.join(nextDir, entry); + fs.rmSync(fullPath, { recursive: true, force: true }); + console.log(` โ€ข removed foreign SWC binary path=${fullPath}`); + } + } + } + + if (platformName !== 'mac') return; + + const appPath = path.join(appOutDir, `${packager.appInfo.productName}.app`); + console.log(` โ€ข ad-hoc signing path=${appPath}`); + execSync(`codesign --deep --force --sign - "${appPath}"`, { stdio: 'inherit' }); + console.log(` โ€ข ad-hoc signing complete`); +} diff --git a/app/agents/[agent_id]/AgentChatClient.js b/app/agents/[agent_id]/AgentChatClient.js new file mode 100644 index 0000000..9544d2e --- /dev/null +++ b/app/agents/[agent_id]/AgentChatClient.js @@ -0,0 +1,83 @@ +"use client"; + +import { AiAgent } from "ai-agent"; +import "ai-agent/dist/tailwind.css"; +import { useCallback, useEffect, useRef } from "react"; +import axios from "axios"; + +const STORAGE_KEY = "muapi_key"; + +/** + * AgentChatClient โ€” mirrors muapiapp's AgentClient.js. + * Renders the AiAgent library component with server-fetched agent details + * and optional initial history. + * + * IMPORTANT: StandaloneShell is NOT in the tree on /agents/* pages, so we + * must set up our own axios interceptor here to inject the API key into + * all requests made by the AiAgent library. + */ +export default function AgentChatClient({ agentDetails, initialHistory, userData }) { + const interceptorRef = useRef(null); + + console.log("[AgentChatClient] Rendering", { + hasAgentDetails: !!agentDetails, + hasHistory: !!initialHistory, + hasUserData: !!userData + }); + + useEffect(() => { + const getKey = () => { + if (typeof window === "undefined") return null; + const fromStorage = localStorage.getItem(STORAGE_KEY); + if (fromStorage) return fromStorage; + const match = document.cookie.match(/muapi_key=([^;]+)/); + return match ? match[1] : null; + }; + + const apiKey = getKey(); + if (!apiKey) return; + + interceptorRef.current = axios.interceptors.request.use((config) => { + const isRelative = + config.url.startsWith("/") || !config.url.startsWith("http"); + // Include specific proxy paths to be sure + const isInternalProxy = config.url.includes('/api/app') || config.url.includes('/api/workflow') || config.url.includes('/api/agents') || config.url.includes('/api/api') || config.url.includes('/api/v1'); + + if (isRelative || isInternalProxy) { + config.headers["x-api-key"] = apiKey; + } + return config; + }); + + return () => { + if (interceptorRef.current !== null) { + axios.interceptors.request.eject(interceptorRef.current); + } + }; + }, []); + + const useUser = useCallback( + () => ({ + user: { + username: userData?.email?.split("@")[0] || "Studio User", + name: userData?.email?.split("@")[0] || "Studio User", + email: userData?.email || null, + profile_photo: null, + balance: userData?.balance || 0, + }, + isAuthorized: !!userData, + }), + [userData] + ); + + return ( +
+ +
+ ); +} diff --git a/app/agents/[agent_id]/[conversation_id]/page.js b/app/agents/[agent_id]/[conversation_id]/page.js new file mode 100644 index 0000000..ac6cb91 --- /dev/null +++ b/app/agents/[agent_id]/[conversation_id]/page.js @@ -0,0 +1,111 @@ +import { cookies } from "next/headers"; +import AgentChatClient from "../AgentChatClient"; + +/** + * Server component โ€” fetches both agentDetails and initialHistory + * from the /api/agents proxy using the muapi_key cookie, then renders + * the client chat component with existing conversation messages pre-loaded. + * + * URL: /agents/[agent_id]/[conversation_id] + */ +export async function generateMetadata({ params }) { + return { + title: `Agent Chat โ€” Open Generative AI`, + }; +} + +const BASE_URL = 'https://api.muapi.ai'; + +async function fetchAgentDetails(agentId, apiKey) { + if (!apiKey) return null; + try { + const res = await fetch( + `${BASE_URL}/agents/by-slug/${agentId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (res.ok) return await res.json(); + + if (agentId.length > 20) { + const resId = await fetch( + `${BASE_URL}/agents/${agentId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (resId.ok) return await resId.json(); + } + return null; + } catch { + return null; + } +} + +async function fetchHistory(agentId, conversationId, apiKey) { + if (!apiKey) return null; + try { + // Try by slug first + const res = await fetch( + `${BASE_URL}/agents/by-slug/${agentId}/${conversationId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (res.ok) return await res.json(); + + // Fallback to direct agent ID if needed + if (agentId.length > 20) { + const resId = await fetch( + `${BASE_URL}/agents/${agentId}/${conversationId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (resId.ok) return await resId.json(); + } + return null; + } catch { + return null; + } +} + +async function fetchUserData(apiKey) { + if (!apiKey) return null; + try { + const res = await fetch(`${BASE_URL}/api/v1/account/balance`, { + cache: "no-store", + headers: { "x-api-key": apiKey }, + }); + if (!res.ok) return null; + return await res.json(); + } catch { + return null; + } +} + +export default async function AgentConversationPage({ params }) { + const { agent_id, conversation_id } = await params; + const cookieStore = await cookies(); + const apiKey = cookieStore.get("muapi_key")?.value; + + console.log(`[ConvPage] Loading for agent: ${agent_id}, conv: ${conversation_id}, hasKey: ${!!apiKey}`); + + const [agentDetails, initialHistory, userData] = await Promise.all([ + fetchAgentDetails(agent_id, apiKey), + fetchHistory(agent_id, conversation_id, apiKey), + fetchUserData(apiKey) + ]); + + return ( + + ); +} diff --git a/app/agents/[agent_id]/page.js b/app/agents/[agent_id]/page.js new file mode 100644 index 0000000..06090e9 --- /dev/null +++ b/app/agents/[agent_id]/page.js @@ -0,0 +1,89 @@ +import { cookies } from "next/headers"; +import AgentChatClient from "./AgentChatClient"; + +/** + * Server component โ€” fetches agentDetails from the /api/agents proxy + * (which forwards to https://api.muapi.ai/agents/by-slug/{id}) + * using the muapi_key cookie for auth, then renders the client chat component. + * + * URL: /agents/[agent_id] (new chat โ€” no conversation ID yet) + */ +export async function generateMetadata({ params }) { + const { agent_id } = await params; + return { + title: `Agent Chat โ€” Open Generative AI`, + }; +} + +const BASE_URL = 'https://api.muapi.ai'; + +async function fetchAgentDetails(agentId, apiKey) { + if (!apiKey) return null; + + // Try fetching by slug first + try { + console.log(`[AgentPage] Fetching agent by slug: ${agentId}`); + const res = await fetch( + `${BASE_URL}/agents/by-slug/${agentId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (res.ok) return await res.json(); + + // If by-slug fails, try fetching by direct ID (if it looks like a UUID) + if (agentId.length > 20) { + console.log(`[AgentPage] Fetch by slug failed, trying by ID: ${agentId}`); + const resId = await fetch( + `${BASE_URL}/agents/${agentId}`, + { + cache: "no-store", + headers: { "x-api-key": apiKey }, + } + ); + if (resId.ok) return await resId.json(); + } + + console.warn(`[AgentPage] Failed to fetch agent details for: ${agentId}`); + return null; + } catch (error) { + console.error("[AgentPage] Fetch error:", error); + return null; + } +} + +async function fetchUserData(apiKey) { + if (!apiKey) return null; + try { + const res = await fetch(`${BASE_URL}/api/v1/account/balance`, { + cache: "no-store", + headers: { "x-api-key": apiKey }, + }); + if (!res.ok) return null; + return await res.json(); + } catch { + return null; + } +} + +export default async function AgentPage({ params }) { + const { agent_id } = await params; + const cookieStore = await cookies(); + const apiKey = cookieStore.get("muapi_key")?.value; + + console.log(`[AgentPage] Loading page for agent: ${agent_id}, hasKey: ${!!apiKey}`); + + const [agentDetails, userData] = await Promise.all([ + fetchAgentDetails(agent_id, apiKey), + fetchUserData(apiKey) + ]); + + return ( + + ); +} diff --git a/app/agents/create/AgentCreateClient.js b/app/agents/create/AgentCreateClient.js new file mode 100644 index 0000000..b49f483 --- /dev/null +++ b/app/agents/create/AgentCreateClient.js @@ -0,0 +1,62 @@ +"use client"; + +import { CreateAgentPage } from "ai-agent"; +import "ai-agent/dist/tailwind.css"; +import { useCallback, useEffect, useRef } from "react"; +import axios from "axios"; + +const STORAGE_KEY = "muapi_key"; + +export default function AgentCreateClient({ userData }) { + const interceptorRef = useRef(null); + + useEffect(() => { + const getKey = () => { + if (typeof window === "undefined") return null; + const fromStorage = localStorage.getItem(STORAGE_KEY); + if (fromStorage) return fromStorage; + const match = document.cookie.match(/muapi_key=([^;]+)/); + return match ? match[1] : null; + }; + + const apiKey = getKey(); + if (!apiKey) return; + + interceptorRef.current = axios.interceptors.request.use((config) => { + const isRelative = config.url.startsWith("/") || !config.url.startsWith("http"); + const isInternalProxy = config.url.includes('/api/app') || config.url.includes('/api/workflow') || config.url.includes('/api/agents') || config.url.includes('/api/api') || config.url.includes('/api/v1'); + + if (isRelative || isInternalProxy) { + config.headers["x-api-key"] = apiKey; + } + return config; + }); + + return () => { + if (interceptorRef.current !== null) { + axios.interceptors.request.eject(interceptorRef.current); + } + }; + }, []); + + const useUser = useCallback( + () => ({ + user: { + username: userData?.email?.split("@")[0] || "Studio User", + name: userData?.email?.split("@")[0] || "Studio User", + email: userData?.email || null, + profile_photo: null, + balance: userData?.balance || 0, + }, + isAuthorized: !!userData, + }), + [userData] + ); + + return ( + + ); +} diff --git a/app/agents/create/page.js b/app/agents/create/page.js new file mode 100644 index 0000000..8b2c948 --- /dev/null +++ b/app/agents/create/page.js @@ -0,0 +1,29 @@ +import { cookies } from "next/headers"; +import AgentCreateClient from "./AgentCreateClient"; + +const BASE_URL = 'https://api.muapi.ai'; + +async function fetchUserData(apiKey) { + if (!apiKey) return null; + try { + const res = await fetch(`${BASE_URL}/api/v1/account/balance`, { + cache: "no-store", + headers: { "x-api-key": apiKey }, + }); + if (!res.ok) return null; + return await res.json(); + } catch { + return null; + } +} + +export default async function CreateAgentPage() { + const cookieStore = await cookies(); + const apiKey = cookieStore.get("muapi_key")?.value; + + const userData = await fetchUserData(apiKey); + + return ( + + ); +} diff --git a/app/agents/edit/[id]/AgentEditClient.js b/app/agents/edit/[id]/AgentEditClient.js new file mode 100644 index 0000000..6ec6da3 --- /dev/null +++ b/app/agents/edit/[id]/AgentEditClient.js @@ -0,0 +1,62 @@ +"use client"; + +import { EditAgentPage } from "ai-agent"; +import "ai-agent/dist/tailwind.css"; +import { useCallback, useEffect, useRef } from "react"; +import axios from "axios"; + +const STORAGE_KEY = "muapi_key"; + +export default function AgentEditClient({ userData }) { + const interceptorRef = useRef(null); + + useEffect(() => { + const getKey = () => { + if (typeof window === "undefined") return null; + const fromStorage = localStorage.getItem(STORAGE_KEY); + if (fromStorage) return fromStorage; + const match = document.cookie.match(/muapi_key=([^;]+)/); + return match ? match[1] : null; + }; + + const apiKey = getKey(); + if (!apiKey) return; + + interceptorRef.current = axios.interceptors.request.use((config) => { + const isRelative = config.url.startsWith("/") || !config.url.startsWith("http"); + const isInternalProxy = config.url.includes('/api/app') || config.url.includes('/api/workflow') || config.url.includes('/api/agents') || config.url.includes('/api/api') || config.url.includes('/api/v1'); + + if (isRelative || isInternalProxy) { + config.headers["x-api-key"] = apiKey; + } + return config; + }); + + return () => { + if (interceptorRef.current !== null) { + axios.interceptors.request.eject(interceptorRef.current); + } + }; + }, []); + + const useUser = useCallback( + () => ({ + user: { + username: userData?.email?.split("@")[0] || "Studio User", + name: userData?.email?.split("@")[0] || "Studio User", + email: userData?.email || null, + profile_photo: null, + balance: userData?.balance || 0, + }, + isAuthorized: !!userData, + }), + [userData] + ); + + return ( + + ); +} diff --git a/app/agents/edit/[id]/page.js b/app/agents/edit/[id]/page.js new file mode 100644 index 0000000..553a635 --- /dev/null +++ b/app/agents/edit/[id]/page.js @@ -0,0 +1,30 @@ +import { cookies } from "next/headers"; +import AgentEditClient from "./AgentEditClient"; + +const BASE_URL = 'https://api.muapi.ai'; + +async function fetchUserData(apiKey) { + if (!apiKey) return null; + try { + const res = await fetch(`${BASE_URL}/api/v1/account/balance`, { + cache: "no-store", + headers: { "x-api-key": apiKey }, + }); + if (!res.ok) return null; + return await res.json(); + } catch { + return null; + } +} + +export default async function EditAgentPage({ params }) { + const { id } = await params; // although we don't use id on server here, it's used by useParams in client + const cookieStore = await cookies(); + const apiKey = cookieStore.get("muapi_key")?.value; + + const userData = await fetchUserData(apiKey); + + return ( + + ); +} diff --git a/app/agents/layout.js b/app/agents/layout.js new file mode 100644 index 0000000..cdf2e0d --- /dev/null +++ b/app/agents/layout.js @@ -0,0 +1,16 @@ +/** + * Layout for /agents/* pages. + * These pages host the AiAgent component full-screen โ€” no studio chrome needed. + * The api key is available via the muapi_key cookie which StandaloneShell sets. + */ +export const metadata = { + title: "Agent Chat โ€” Open Generative AI", +}; + +export default function AgentsLayout({ children }) { + return ( +
+ {children} +
+ ); +} diff --git a/app/api/agents/[[...path]]/route.js b/app/api/agents/[[...path]]/route.js new file mode 100644 index 0000000..80f52b6 --- /dev/null +++ b/app/api/agents/[[...path]]/route.js @@ -0,0 +1,107 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + // Only accept x-api-key header. Cookie-based auth is removed for security: + // cookies without HttpOnly flag can be stolen by XSS (CWE-522). + const headerKey = request.headers.get('x-api-key'); + return headerKey || null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); // CRITICAL: Stop forwarding browser cookies to MuAPI + return headers; +} + +// Build the target URL without a trailing slash when path is empty. +// e.g. GET /api/agents?is_template=true โ†’ https://api.muapi.ai/agents?is_template=true +// e.g. GET /api/agents/by-slug/foo โ†’ https://api.muapi.ai/agents/by-slug/foo +function buildTargetUrl(pathSegments, search) { + const path = pathSegments.join('/'); + const base = `${MUAPI_BASE}/agents`; + return path ? `${base}/${path}${search}` : `${base}${search}`; +} + +export async function GET(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const { search } = new URL(request.url); + const targetUrl = buildTargetUrl(pathSegments, search); + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { headers, method: 'GET' }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function POST(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const { search } = new URL(request.url); + const targetUrl = buildTargetUrl(pathSegments, search); + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { method: 'POST', headers, body }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function DELETE(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const { search } = new URL(request.url); + const targetUrl = buildTargetUrl(pathSegments, search); + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { method: 'DELETE', headers }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function PUT(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const { search } = new URL(request.url); + const targetUrl = buildTargetUrl(pathSegments, search); + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { method: 'PUT', headers, body }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/api/v1/[[...path]]/route.js b/app/api/api/v1/[[...path]]/route.js new file mode 100644 index 0000000..26cf4b4 --- /dev/null +++ b/app/api/api/v1/[[...path]]/route.js @@ -0,0 +1,65 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + const headerKey = request.headers.get('x-api-key'); + if (headerKey) return headerKey; + // Cookie-based auth removed for security (CWE-522) + return null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); + return headers; +} + +// Proxies /api/api/v1/* -> https://api.muapi.ai/api/v1/* +// This is required because the AiAgent library hardcodes a double /api/api +export async function GET(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + + // NOTE: credential logging removed for security (CWE-200) + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { headers, method: 'GET' }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function POST(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { method: 'POST', headers, body }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/app/[[...path]]/route.js b/app/api/app/[[...path]]/route.js new file mode 100644 index 0000000..59b398d --- /dev/null +++ b/app/api/app/[[...path]]/route.js @@ -0,0 +1,142 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + // Only accept x-api-key header. Cookie-based auth is removed for security: + // cookies without HttpOnly flag can be stolen by XSS (CWE-522). + const headerKey = request.headers.get('x-api-key'); + return headerKey || null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); // CRITICAL: Stop forwarding browser cookies to MuAPI to avoid auth conflicts + return headers; +} + +export async function GET(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + // Handle alias: get_upload_file -> get_file_upload_url + const effectivePath = path === 'get_upload_file' ? 'get_file_upload_url' : path; + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/app/${effectivePath}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { + headers, + method: 'GET', + }); + + const data = await response.json(); + + // SPECIAL CASE: Intercept upload URL and redirect to local binary proxy + if (effectivePath === 'get_file_upload_url' && data.url) { + const originalS3Url = data.url; + // We pass the real S3 URL as a header to our proxy + data.url = `/api/upload-binary`; + + // Store target in a temporary way? + // Better: Return the target URL as an extra field that our proxy will look for + data.fields = { + ...data.fields, + 'x-proxy-target-url': originalS3Url + }; + } + + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function POST(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/app/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { + method: 'POST', + headers, + body + }); + + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function DELETE(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/app/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { + method: 'DELETE', + headers + }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function PUT(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/app/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { + method: 'PUT', + headers, + body + }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/upload-binary/route.js b/app/api/upload-binary/route.js new file mode 100644 index 0000000..eaa5dba --- /dev/null +++ b/app/api/upload-binary/route.js @@ -0,0 +1,53 @@ +import { NextResponse } from 'next/server'; +import { validateUploadProxyTarget } from '../../../src/lib/uploadProxyTarget'; + +export async function POST(request) { + try { + const formData = await request.formData(); + + // Extract the original S3 target URL we injected earlier + const targetUrl = formData.get('x-proxy-target-url'); + + if (!targetUrl) { + return NextResponse.json({ error: 'Missing proxy target URL' }, { status: 400 }); + } + + const validatedTarget = validateUploadProxyTarget(targetUrl); + if (!validatedTarget.ok) { + return NextResponse.json( + { error: 'Invalid upload target', reason: validatedTarget.reason }, + { status: 400 } + ); + } + + // Reconstruct the FormData for S3 (excluding our internal proxy marker) + const s3FormData = new FormData(); + + // S3 is very sensitive to field ordering. We must ensure 'file' is likely last + // or at least that all signature fields come before what S3 expects. + // The original library code appends 'file' last, so iterating should preserve that. + for (const [key, value] of formData.entries()) { + if (key !== 'x-proxy-target-url') { + s3FormData.append(key, value); + } + } + + // Perform the server-to-server POST to S3 + // This bypasses browser CORS/Preflight security entirely + const s3Response = await fetch(validatedTarget.url, { + method: 'POST', + body: s3FormData, + }); + + if (s3Response.ok || s3Response.status === 204) { + return new Response(null, { status: 204 }); + } else { + const errorText = await s3Response.text(); + console.error('S3 Proxy Error:', errorText); + return new Response(errorText, { status: s3Response.status }); + } + } catch (error) { + console.error('Upload Proxy Exception:', error); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/v1/creative-agent/[[...path]]/route.js b/app/api/v1/creative-agent/[[...path]]/route.js new file mode 100644 index 0000000..bdc5499 --- /dev/null +++ b/app/api/v1/creative-agent/[[...path]]/route.js @@ -0,0 +1,122 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + const authHeader = request.headers.get('Authorization'); + if (authHeader && authHeader.startsWith('Bearer ')) { + return authHeader.substring(7); + } + const headerKey = request.headers.get('x-api-key'); + if (headerKey) return headerKey; + // Cookie-based auth removed for security: no HttpOnly flag exposes key to XSS (CWE-522) + return null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); + headers.delete('Authorization'); + headers.delete('x-api-key'); + return headers; +} + +export async function GET(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/creative-agent/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { headers, method: 'GET' }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + console.error(`[creative-agent proxy GET ERROR] ${targetUrl}:`, error.message); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function POST(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/creative-agent/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { method: 'POST', headers, body }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + console.error(`[creative-agent proxy POST ERROR] ${targetUrl}:`, error.message); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function PATCH(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/creative-agent/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { method: 'PATCH', headers, body }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + console.error(`[creative-agent proxy PATCH ERROR] ${targetUrl}:`, error.message); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function DELETE(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/api/v1/creative-agent/${path}${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { method: 'DELETE', headers }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + console.error(`[creative-agent proxy DELETE ERROR] ${targetUrl}:`, error.message); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/v1/get_upload_url/route.js b/app/api/v1/get_upload_url/route.js new file mode 100644 index 0000000..21e60c2 --- /dev/null +++ b/app/api/v1/get_upload_url/route.js @@ -0,0 +1,40 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + const headerKey = request.headers.get('x-api-key'); + if (headerKey) return headerKey; + // Cookie-based auth removed for security (CWE-522) + return null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); + return headers; +} + +export async function GET(request) { + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/app/get_file_upload_url${search}`; + + const headers = cleanHeaders(request); + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { + headers, + method: 'GET', + }); + + const data = await response.json(); + + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/v1/upload-binary/route.js b/app/api/v1/upload-binary/route.js new file mode 100644 index 0000000..c01d5f1 --- /dev/null +++ b/app/api/v1/upload-binary/route.js @@ -0,0 +1,46 @@ +import { NextResponse } from 'next/server'; +import { validateUploadProxyTarget } from '../../../../src/lib/uploadProxyTarget'; + +export async function POST(request) { + try { + const formData = await request.formData(); + + // Extract the original S3 target URL + const targetUrl = formData.get('x-proxy-target-url'); + + if (!targetUrl) { + return NextResponse.json({ error: 'Missing proxy target URL' }, { status: 400 }); + } + + const validatedTarget = validateUploadProxyTarget(targetUrl); + if (!validatedTarget.ok) { + return NextResponse.json( + { error: 'Invalid upload target', reason: validatedTarget.reason }, + { status: 400 } + ); + } + + const s3FormData = new FormData(); + for (const [key, value] of formData.entries()) { + if (key !== 'x-proxy-target-url') { + s3FormData.append(key, value); + } + } + + const s3Response = await fetch(validatedTarget.url, { + method: 'POST', + body: s3FormData, + }); + + if (s3Response.ok || s3Response.status === 204) { + return new Response(null, { status: 204 }); + } else { + const errorText = await s3Response.text(); + console.error('S3 Proxy Error:', errorText); + return new Response(errorText, { status: s3Response.status }); + } + } catch (error) { + console.error('Upload Proxy Exception:', error); + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/api/workflow/[[...path]]/route.js b/app/api/workflow/[[...path]]/route.js new file mode 100644 index 0000000..da1e449 --- /dev/null +++ b/app/api/workflow/[[...path]]/route.js @@ -0,0 +1,134 @@ +import { NextResponse } from 'next/server'; + +const MUAPI_BASE = 'https://api.muapi.ai'; + +function getApiKey(request) { + // Only accept x-api-key header. Cookie-based auth is removed for security: + // cookies without HttpOnly flag can be stolen by any XSS (CWE-522). + const headerKey = request.headers.get('x-api-key'); + return headerKey || null; +} + +function cleanHeaders(request) { + const headers = new Headers(request.headers); + headers.delete('host'); + headers.delete('connection'); + headers.delete('cookie'); // CRITICAL: Stop forwarding browser cookies to MuAPI to avoid auth conflicts + return headers; +} + +export async function GET(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/workflow/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + // NOTE: apiKey is intentionally NOT logged here to prevent credential leakage (CWE-200) + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { + headers, + method: 'GET', + }); + const data = await response.json(); + if (path.includes('get-workflow-def')) { + console.log(`[proxy GET] get-workflow-def response: is_owner=${data?.is_owner}, workflow_id=${data?.workflow_id}`); + } + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function POST(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/workflow/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + // NOTE: credential logging removed for security (CWE-200) + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + // Decode body to see what workflow_id is being sent + try { + const parsed = JSON.parse(Buffer.from(body).toString('utf-8')); + console.log(`[proxy POST] body: workflow_id=${parsed.workflow_id}, source_workflow_id=${parsed.source_workflow_id}, name=${parsed.name}`); + } catch(e) { /* ignore decode errors */ } + + const response = await fetch(targetUrl, { + method: 'POST', + headers, + body + }); + const data = await response.json(); + console.log(`[proxy POST] response: status=${response.status}`, JSON.stringify(data).slice(0, 200)); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function DELETE(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/workflow/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const response = await fetch(targetUrl, { + method: 'DELETE', + headers + }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} + +export async function PUT(request, { params }) { + const slug = await params; + const pathSegments = slug.path || []; + const path = pathSegments.join('/'); + + const { search } = new URL(request.url); + const targetUrl = `${MUAPI_BASE}/workflow/${path}${search}`; + + const headers = cleanHeaders(request); + + const apiKey = getApiKey(request); + if (apiKey) headers.set('x-api-key', apiKey); + + try { + const body = await request.arrayBuffer(); + const response = await fetch(targetUrl, { + method: 'PUT', + headers, + body + }); + const data = await response.json(); + return NextResponse.json(data, { status: response.status }); + } catch (error) { + return NextResponse.json({ error: error.message }, { status: 500 }); + } +} diff --git a/app/assistant/page.js b/app/assistant/page.js new file mode 100644 index 0000000..6acc3c2 --- /dev/null +++ b/app/assistant/page.js @@ -0,0 +1,5 @@ +import { redirect } from 'next/navigation'; + +export default function Home() { + redirect('/studio'); +} diff --git a/app/globals.css b/app/globals.css new file mode 100644 index 0000000..a138af5 --- /dev/null +++ b/app/globals.css @@ -0,0 +1,60 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800;900&display=swap'); + +* { box-sizing: border-box; margin: 0; padding: 0; } + +body { + background: #050505; + color: white; + font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif; + -webkit-font-smoothing: antialiased; +} + +:root { + --color-primary: #22d3ee; + --bg-app: #030303; + --bg-panel: #0a0a0a; + --bg-card: #111111; + --border-color: rgba(255,255,255,0.05); + --border-radius-xl: 0.75rem; + --glass-bg: rgba(255, 255, 255, 0.03); + --glass-border: rgba(255, 255, 255, 0.08); +} + +.glass-panel { + background: var(--glass-bg); + backdrop-filter: blur(12px); + border: 1px solid var(--glass-border); +} + +.custom-scrollbar::-webkit-scrollbar { width: 4px; } +.custom-scrollbar::-webkit-scrollbar-track { background: transparent; } +.custom-scrollbar::-webkit-scrollbar-thumb { background: rgba(255,255,255,0.1); border-radius: 2px; } + +.scrollbar-none::-webkit-scrollbar { + height: 2px; + width: 2px; +} +.scrollbar-none::-webkit-scrollbar-track { + background: transparent; +} +.scrollbar-none::-webkit-scrollbar-thumb { + background: rgba(255, 255, 255, 0.12); + border-radius: 999px; +} +.scrollbar-none::-webkit-scrollbar-thumb:hover { + background: rgba(255, 255, 255, 0.25); +} +.scrollbar-none { + scrollbar-width: thin; + scrollbar-color: rgba(255, 255, 255, 0.12) transparent; +} + +@keyframes fade-in-up { + from { opacity: 0; transform: translateY(12px); } + to { opacity: 1; transform: translateY(0); } +} +.animate-fade-in-up { animation: fade-in-up 0.4s cubic-bezier(0.16, 1, 0.3, 1) forwards; } diff --git a/app/layout.js b/app/layout.js new file mode 100644 index 0000000..0d9c1a2 --- /dev/null +++ b/app/layout.js @@ -0,0 +1,20 @@ +import './globals.css'; +import { Inter } from "next/font/google"; + +const inter = Inter({ + variable: "--font-inter", + subsets: ["latin"], +}); + +export const metadata = { + title: 'Open Generative AI โ€” Free AI Image & Video Studio', + description: 'Generate AI images and videos using 200+ models โ€” Flux, Midjourney, Kling, Veo, Seedance and more.', +}; + +export default function RootLayout({ children }) { + return ( + + {children} + + ); +} diff --git a/app/page.js b/app/page.js new file mode 100644 index 0000000..6acc3c2 --- /dev/null +++ b/app/page.js @@ -0,0 +1,5 @@ +import { redirect } from 'next/navigation'; + +export default function Home() { + redirect('/studio'); +} diff --git a/app/studio/[[...slug]]/page.js b/app/studio/[[...slug]]/page.js new file mode 100644 index 0000000..c6cf53c --- /dev/null +++ b/app/studio/[[...slug]]/page.js @@ -0,0 +1,9 @@ +import StandaloneShell from '@/components/StandaloneShell'; + +export const metadata = { + title: 'Studio โ€” Open Generative AI', +}; + +export default function StudioPage() { + return ; +} diff --git a/app/workflow/[id]/[tab]/page.js b/app/workflow/[id]/[tab]/page.js new file mode 100644 index 0000000..21142c1 --- /dev/null +++ b/app/workflow/[id]/[tab]/page.js @@ -0,0 +1,9 @@ +import StandaloneShell from '@/components/StandaloneShell'; + +export const metadata = { + title: 'Workflow โ€” Open Generative AI', +}; + +export default function WorkflowTabPage() { + return ; +} diff --git a/app/workflow/[id]/page.js b/app/workflow/[id]/page.js new file mode 100644 index 0000000..39635a8 --- /dev/null +++ b/app/workflow/[id]/page.js @@ -0,0 +1,9 @@ +import StandaloneShell from '@/components/StandaloneShell'; + +export const metadata = { + title: 'Workflow โ€” Open Generative AI', +}; + +export default function WorkflowPage() { + return ; +} diff --git a/build/installer.nsh b/build/installer.nsh new file mode 100644 index 0000000..9ab863f --- /dev/null +++ b/build/installer.nsh @@ -0,0 +1,7 @@ +!macro customInit + ; Override default installation directory to be directly in LocalAppData + StrCpy $INSTDIR "$LOCALAPPDATA\Open Generative AI" + + ; Forcefully kill the app if it's running to prevent installation failure + nsExec::ExecToStack 'taskkill /F /IM "Open Generative AI.exe"' +!macroend diff --git a/build/linux/apparmor.profile b/build/linux/apparmor.profile new file mode 100644 index 0000000..2d8f991 --- /dev/null +++ b/build/linux/apparmor.profile @@ -0,0 +1,7 @@ +abi , +include + +profile open-generative-ai /opt/Open\ Generative\ AI/open-generative-ai flags=(unconfined) { + userns, + include if exists +} diff --git a/build/local-ai/README.md b/build/local-ai/README.md new file mode 100644 index 0000000..78e074a --- /dev/null +++ b/build/local-ai/README.md @@ -0,0 +1,8 @@ +Stage packaged local inference binaries here before running Electron builds. + +Examples: +- `npm run stage:local-ai -- linux arm64 /path/to/stable-diffusion.cpp/build-cuda-arm64` +- `npm run stage:local-ai -- linux x64 /path/to/stable-diffusion.cpp/build/bin` + +This copies the expected runtime files into `build/local-ai/-/bin`, +which Electron Builder then bundles into `resources/local-ai/...` via `extraResources`. diff --git a/components/ApiKeyModal.js b/components/ApiKeyModal.js new file mode 100644 index 0000000..f415c31 --- /dev/null +++ b/components/ApiKeyModal.js @@ -0,0 +1,85 @@ +'use client'; + +import { useState } from 'react'; + +export default function ApiKeyModal({ onSave, onClose, overlay = false, title, subtitle }) { + const [key, setKey] = useState(''); + const [error, setError] = useState(''); + + const handleSubmit = (e) => { + e.preventDefault(); + const trimmed = key.trim(); + if (!trimmed) { setError('Please enter your API key'); return; } + onSave(trimmed); + }; + + const wrapperClass = overlay + ? 'fixed inset-0 z-[200] bg-black/70 backdrop-blur-sm flex items-center justify-center px-4 font-inter animate-fade-in-up' + : 'min-h-screen bg-[#030303] flex items-center justify-center px-4 font-inter'; + + return ( +
+
+ {overlay && onClose && ( + + )} +
+
+ + + +
+

+ {title || 'Open Generative AI'} +

+

+ {subtitle || ( + <>Enter your Muapi.ai API key to start creating + )} +

+
+ +
+
+ + { setKey(e.target.value); setError(''); }} + placeholder="Paste your key here..." + className="w-full bg-white/5 border border-white/[0.03] rounded-md px-5 py-3 text-sm text-white placeholder:text-white/10 focus:outline-none focus:ring-1 focus:ring-[#22d3ee]/30 focus:bg-white/[0.07] transition-all" + suppressHydrationWarning + /> + {error &&

{error}

} +
+ + + +

+ Need a key?{' '} + + Get one free โ†’ + +

+
+
+
+ ); +} diff --git a/components/StandaloneShell.js b/components/StandaloneShell.js new file mode 100644 index 0000000..becd159 --- /dev/null +++ b/components/StandaloneShell.js @@ -0,0 +1,443 @@ +'use client'; + +import { useState, useEffect, useCallback } from 'react'; +import { useParams, useRouter } from 'next/navigation'; +import dynamic from 'next/dynamic'; +import { ImageStudio, VideoStudio, ClippingStudio, VibeMotionStudio, LipSyncStudio, RecastStudio, CinemaStudio, AudioStudio, MarketingStudio, WorkflowStudio, AgentStudio, AppsStudio, AiInfluencerStudio, getUserBalance } from 'studio'; + +const DesignAgentStudio = dynamic(() => import('studio').then(mod => mod.DesignAgentStudio), { + ssr: false, + loading: () =>
Loading Design Studio...
+}); +import axios from 'axios'; +import ApiKeyModal from './ApiKeyModal'; + +const TABS = [ + { id: 'image', label: 'Image Studio' }, + { id: 'video', label: 'Video Studio' }, + { id: 'audio', label: 'Audio Studio' }, + { id: 'clipping', label: 'AI Clipping' }, + { id: 'vibe-motion', label: 'Vibe Motion' }, + { id: 'lipsync', label: 'Lip Sync' }, + { id: 'body-swap', label: 'Body Swap' }, + { id: 'cinema', label: 'Cinema Studio' }, + { id: 'marketing', label: 'Marketing Studio' }, + { id: 'workflows', label: 'Workflows' }, + { id: 'agents', label: 'Agents' }, + { id: 'design-agent', label: 'Design Agent' }, + { id: 'apps', label: 'Explore Apps' }, + { id: 'ai-influencer', label: 'AI Influencer Studio' }, +]; + +const STORAGE_KEY = 'muapi_key'; + +export default function StandaloneShell() { + const params = useParams(); + const router = useRouter(); + const slug = params?.slug || []; + const idFromParams = params?.id; + const tabFromParams = params?.tab; + + // Helper to extract workflow details precisely from either route structure + const getWorkflowInfo = useCallback(() => { + if (idFromParams) { + return { id: idFromParams, tab: tabFromParams || null }; + } + const wfIndex = slug.findIndex(s => s === 'workflows' || s === 'workflow'); + if (wfIndex === -1) return { id: null, tab: null }; + return { + id: slug[wfIndex + 1] || null, + tab: slug[wfIndex + 2] || null + }; + }, [slug, idFromParams, tabFromParams]); + + const { id: urlWorkflowId } = getWorkflowInfo(); + + // Initialize activeTab from URL slug/params or default to 'image' + const getInitialTab = () => { + if (idFromParams || slug.includes('workflow')) return 'workflows'; + if (slug.includes('agents')) return 'agents'; + if (slug.includes('design-agent')) return 'design-agent'; + if (slug.includes('apps')) return 'apps'; + const firstSegment = slug[0]; + if (firstSegment && TABS.find(t => t.id === firstSegment)) return firstSegment; + return 'image'; + }; + + const [apiKey, setApiKey] = useState(null); + const [activeTab, setActiveTab] = useState(getInitialTab()); + + const [balance, setBalance] = useState(null); + const [showSettings, setShowSettings] = useState(false); + const [isHeaderVisible, setIsHeaderVisible] = useState(true); + const [hasMounted, setHasMounted] = useState(false); + const [showVadooBanner, setShowVadooBanner] = useState(() => { + if (typeof window !== 'undefined') return localStorage.getItem('vadoo_banner_dismissed') !== '1'; + return true; + }); + + // Drag and Drop State + const [isDragging, setIsDragging] = useState(false); + const [droppedFiles, setDroppedFiles] = useState(null); + + + // Popstate event listener to sync tab state with URL on back/forward navigation + useEffect(() => { + const handlePopState = () => { + const path = window.location.pathname; + const segments = path.split('/').filter(Boolean); + const tabId = segments[1] || 'image'; + if (TABS.find(t => t.id === tabId)) { + setActiveTab(tabId); + } + }; + window.addEventListener('popstate', handlePopState); + return () => window.removeEventListener('popstate', handlePopState); + }, []); + + const handleTabChange = (tabId) => { + window.history.pushState(null, '', `/studio/${tabId}`); + setActiveTab(tabId); + }; + + // Auto-hide header when inside a specific workflow view or design agent + useEffect(() => { + const isEditingWorkflow = (activeTab === 'workflows' || !!idFromParams) && urlWorkflowId; + const isDesignAgent = activeTab === 'design-agent'; + + if (isEditingWorkflow || isDesignAgent) { + setIsHeaderVisible(false); + } else { + setIsHeaderVisible(true); + } + }, [activeTab, urlWorkflowId, idFromParams]); + + // Global builder CSS cleanup when switching away from Workflows or Design Agent tabs + useEffect(() => { + const fromBuilder = sessionStorage.getItem("fromWorkflowBuilder"); + const fromDesignAgent = sessionStorage.getItem("fromDesignAgent"); + + if ((fromBuilder && activeTab !== 'workflows') || (fromDesignAgent && activeTab !== 'design-agent')) { + sessionStorage.removeItem("fromWorkflowBuilder"); + sessionStorage.removeItem("fromDesignAgent"); + window.location.reload(); + } + }, [activeTab]); + + const fetchBalance = useCallback(async (key) => { + try { + const data = await getUserBalance(key); + setBalance(data.balance); + } catch (err) { + console.error('Balance fetch failed:', err); + } + }, []); + + useEffect(() => { + setHasMounted(true); + const stored = localStorage.getItem(STORAGE_KEY); + if (stored) { + setApiKey(stored); + fetchBalance(stored); + // Sync cookie immediately on mount to establish identity for background requests + document.cookie = `muapi_key=${stored}; path=/; max-age=31536000; SameSite=Lax`; + } + }, [fetchBalance]); + + const handleKeySave = useCallback((key) => { + localStorage.setItem(STORAGE_KEY, key); + setApiKey(key); + fetchBalance(key); + document.cookie = `muapi_key=${key}; path=/; max-age=31536000; SameSite=Lax`; + }, [fetchBalance]); + + const handleKeyChange = useCallback(() => { + localStorage.removeItem(STORAGE_KEY); + setApiKey(null); + setBalance(null); + document.cookie = "muapi_key=; path=/; expires=Thu, 01 Jan 1970 00:00:00 GMT"; + }, []); + + // Inject API key into all outgoing Axios requests (prop-based approach) + // We use an interceptor to be selective and NOT send the key to external domains like S3 + useEffect(() => { + // Safety: Clear any global defaults that might have been set previously + delete axios.defaults.headers.common['x-api-key']; + + if (!apiKey) return; + + const interceptorId = axios.interceptors.request.use((config) => { + // Check if URL is local/proxied + const isRelative = config.url.startsWith('/') || !config.url.startsWith('http'); + const isInternalProxy = config.url.includes('/api/app') || config.url.includes('/api/workflow') || config.url.includes('/api/agents') || config.url.includes('/api/api') || config.url.includes('/api/v1'); + + if (isRelative || isInternalProxy) { + config.headers['x-api-key'] = apiKey; + } + + return config; + }); + + return () => { + axios.interceptors.request.eject(interceptorId); + }; + }, [apiKey]); + + // Poll for balance every 30 seconds if key is present + useEffect(() => { + if (!apiKey) return; + const interval = setInterval(() => fetchBalance(apiKey), 30000); + return () => clearInterval(interval); + }, [apiKey, fetchBalance]); + + // Drag and Drop Handlers + const handleDragOver = useCallback((e) => { + e.preventDefault(); + e.stopPropagation(); + }, []); + + const handleDragEnter = useCallback((e) => { + e.preventDefault(); + e.stopPropagation(); + if (e.dataTransfer.items && e.dataTransfer.items.length > 0) { + setIsDragging(true); + } + }, []); + + const handleDragLeave = useCallback((e) => { + e.preventDefault(); + e.stopPropagation(); + // Only set to false if we're leaving the container itself, not moving between children + if (e.currentTarget.contains(e.relatedTarget)) return; + setIsDragging(false); + }, []); + + const handleDrop = useCallback((e) => { + e.preventDefault(); + e.stopPropagation(); + setIsDragging(false); + + const files = Array.from(e.dataTransfer.files); + if (files.length > 0) { + setDroppedFiles(files); + } + }, []); + + const handleFilesHandled = useCallback(() => { + setDroppedFiles(null); + }, []); + + if (!hasMounted) return ( +
+
โ—Œ
+
+ ); + + if (!apiKey) { + return ; + } + + return ( +
+ {/* Drag Overlay */} + {isDragging && ( +
+
+
+ + + +
+
+ Drop your media here + Images, videos, or audio files +
+
+
+ )} + + {/* Vadoo promo banner */} + {showVadooBanner && ( +
+ + Unrestricted AI Images & Videos โ†’ Auto-Publish as YouTube Shorts & TikToks, Earn โ†— + + +
+ )} + + {/* Header */} + {isHeaderVisible && ( +
+ {/* Left: Logo */} +
+
+ + + +
+ OpenGenerativeAI +
+ + {/* Center: Navigation Container with fade edges */} +
+ {/* Fade Left Overlay */} +
+ + + + {/* Fade Right Overlay */} +
+
+ + {/* Right: Actions */} +
+
+
+
+ + ${balance !== null ? `${balance}` : '---'} + +
+
+ + +
+
+ )} + + {/* Studio Content */} +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ +
+
+ {activeTab === 'design-agent' && ( + + )} +
+
+ +
+
+ +
+
+ + {/* Settings Modal */} + {showSettings && ( +
+
+

Settings

+

+ Manage your AI studio preferences and authentication. +

+ +
+
+ +
+ {apiKey.slice(0, 8)}โ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ขโ€ข +
+
+
+ +
+ + +
+
+
+ )} +
+ ); +} diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..dbf3bcd --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,9 @@ +services: + open-generative-ai: + build: . + container_name: open-generative-ai + ports: + - "3001:3000" + environment: + - NODE_ENV=production + restart: unless-stopped diff --git a/docs/assets/demo.mp4 b/docs/assets/demo.mp4 new file mode 100644 index 0000000..b0f534b Binary files /dev/null and b/docs/assets/demo.mp4 differ diff --git a/docs/assets/generated_example.webp b/docs/assets/generated_example.webp new file mode 100644 index 0000000..67d0dc6 Binary files /dev/null and b/docs/assets/generated_example.webp differ diff --git a/docs/assets/studio_demo.webp b/docs/assets/studio_demo.webp new file mode 100644 index 0000000..e63a687 Binary files /dev/null and b/docs/assets/studio_demo.webp differ diff --git a/electron/lib/localInference.js b/electron/lib/localInference.js new file mode 100644 index 0000000..d26ea6f --- /dev/null +++ b/electron/lib/localInference.js @@ -0,0 +1,602 @@ +const { ipcMain, app, BrowserWindow } = require('electron'); +const path = require('path'); +const fs = require('fs'); +const https = require('https'); +const http = require('http'); +const { spawn, execFile } = require('child_process'); +const { + getBundledBinaryResourceDir, + pickBinaryAssetForPlatform, +} = require('./localInferenceAssets'); +const { + formatStartupProgressMessage, + parseGenerationProgressChunk, + resolveGenerationSteps, + resolveGuidanceScale, +} = require('./localInferenceRuntime'); +const { + LOCAL_AI_DIR_ENV, + resolveLocalAiPaths, +} = require('./localInferencePaths'); + +// โ”€โ”€โ”€ Paths โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +// Resolved lazily (from register(), after app.whenReady()) so a failure here +// never crashes the process before a window exists โ€” see #232. +let DATA_DIR, BIN_DIR, MODELS_DIR, TMP_DIR; + +function ensureLocalAiPaths() { + if (BIN_DIR) return; + const resolved = resolveLocalAiPaths({ userDataPath: app.getPath('userData') }); + DATA_DIR = resolved.dataDir; + BIN_DIR = resolved.binDir; + MODELS_DIR = resolved.modelsDir; + TMP_DIR = resolved.tmpDir; + BINARY_PATH = path.join(BIN_DIR, BINARY_NAME); + + for (const dir of [BIN_DIR, MODELS_DIR, TMP_DIR]) { + fs.mkdirSync(dir, { recursive: true }); + } +} + +const BINARY_NAME = process.platform === 'win32' ? 'sd-cli.exe' : 'sd-cli'; +let BINARY_PATH; + +// โ”€โ”€โ”€ State โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +let activeProcess = null; +const activeDownloads = new Map(); // modelId โ†’ request object + +// โ”€โ”€โ”€ GitHub release asset matcher per platform โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +// Asset names look like: sd-master-44cca3d-bin-Darwin-macOS-15.7.4-arm64.zip +// We pick the best match in priority order so a single release that only +// ships e.g. avx512 still resolves cleanly. +function fetchJson(url) { + return new Promise((resolve, reject) => { + https.get(url, { headers: { 'User-Agent': 'open-generative-ai' } }, (res) => { + if (res.statusCode !== 200) { + res.resume(); + reject(new Error(`HTTP ${res.statusCode} from ${url}`)); + return; + } + let body = ''; + res.on('data', (d) => { body += d; }); + res.on('end', () => { + try { resolve(JSON.parse(body)); } catch (e) { reject(e); } + }); + res.on('error', reject); + }).on('error', reject); + }); +} + +// โ”€โ”€โ”€ Robust HTTPS download with redirect-following, range-resume, and retry โ”€โ”€โ”€ +function downloadFile(url, destPath, onProgress) { + const tmp = destPath + '.part'; + + // Outer total so progress never goes backwards across retries/redirects + let knownTotal = 0; + + const attempt = (requestUrl, redirectsLeft, retriesLeft) => new Promise((resolve, reject) => { + // Resume from however many bytes are already on disk + const alreadyDownloaded = fs.existsSync(tmp) ? fs.statSync(tmp).size : 0; + + const parsed = new URL(requestUrl); + const mod = parsed.protocol === 'https:' ? https : http; + + const reqHeaders = { + 'User-Agent': 'Mozilla/5.0 (compatible; open-generative-ai/1.0)', + 'Accept': '*/*', + 'Connection': 'keep-alive', + }; + if (alreadyDownloaded > 0) reqHeaders['Range'] = `bytes=${alreadyDownloaded}-`; + + const req = mod.get({ hostname: parsed.hostname, path: parsed.pathname + parsed.search, headers: reqHeaders }, (res) => { + const { statusCode, headers } = res; + + // Follow redirects + if ([301, 302, 303, 307, 308].includes(statusCode)) { + res.resume(); + if (redirectsLeft <= 0) { reject(new Error('Too many redirects')); return; } + resolve(attempt(headers.location, redirectsLeft - 1, retriesLeft)); + return; + } + + // 206 Partial Content (range accepted) or 200 OK (server ignored Range) + if (statusCode !== 200 && statusCode !== 206) { + res.resume(); + reject(new Error(`HTTP ${statusCode} from ${parsed.hostname}${parsed.pathname}`)); + return; + } + + // content-length on a 206 is the remaining bytes; on 200 it's the full file + const chunkSize = parseInt(headers['content-length'] || '0', 10); + if (statusCode === 200) { + // Server ignored our Range header โ€” restart the file + if (fs.existsSync(tmp)) fs.unlinkSync(tmp); + knownTotal = chunkSize; + } else { + // 206: total = already downloaded + remaining + knownTotal = alreadyDownloaded + chunkSize; + } + + let received = alreadyDownloaded; + const out = fs.createWriteStream(tmp, { flags: statusCode === 206 ? 'a' : 'w' }); + + res.on('data', (chunk) => { + received += chunk.length; + if (knownTotal && onProgress) onProgress(received / knownTotal); + }); + res.pipe(out); + out.on('finish', () => { fs.renameSync(tmp, destPath); resolve(); }); + out.on('error', reject); + res.on('error', reject); + }); + + req.on('error', (err) => { + if (retriesLeft > 0) { + console.warn(`[download] ${err.message} โ€” retrying in 3s (${retriesLeft} left)`); + setTimeout(() => resolve(attempt(requestUrl, redirectsLeft, retriesLeft - 1)), 3000); + } else { + reject(err); + } + }); + + req.setTimeout(60000, () => req.destroy(new Error('Request timed out'))); + }); + + return attempt(url, 10, 5); +} + +// โ”€โ”€โ”€ Extract zip on each platform โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function extractZip(zipPath, destDir) { + return new Promise((resolve, reject) => { + let cmd, args; + if (process.platform === 'win32') { + cmd = 'powershell'; + args = ['-NoProfile', '-Command', `Expand-Archive -Force -Path "${zipPath}" -DestinationPath "${destDir}"`]; + } else { + cmd = 'unzip'; + args = ['-o', zipPath, '-d', destDir]; + } + execFile(cmd, args, (err) => { + if (err) reject(err); + else resolve(); + }); + }); +} + +// โ”€โ”€โ”€ Binary management โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +// Recursively find a file by name under dir; returns full path or null. +function findFile(dir, name) { + for (const entry of fs.readdirSync(dir, { withFileTypes: true })) { + const full = path.join(dir, entry.name); + if (entry.isDirectory()) { + const found = findFile(full, name); + if (found) return found; + } else if (entry.name === name) { + return full; + } + } + return null; +} + +function ensureBinaryPermissions() { + if (process.platform === 'win32') return; + + for (const fileName of [ + BINARY_NAME, + 'sd-server', + 'libstable-diffusion.dylib', + 'libstable-diffusion.so', + ]) { + const fullPath = findFile(BIN_DIR, fileName); + if (fullPath) fs.chmodSync(fullPath, 0o755); + } +} + +function ensureBundledBinaryInstalled() { + if (fs.existsSync(BINARY_PATH)) { + ensureBinaryPermissions(); + return true; + } + + if (!app.isPackaged) return false; + + const bundledDir = getBundledBinaryResourceDir({ + resourcesPath: process.resourcesPath, + platform: process.platform, + arch: process.arch, + }); + const bundledBinaryPath = path.join(bundledDir, BINARY_NAME); + if (!fs.existsSync(bundledBinaryPath)) return false; + + fs.cpSync(bundledDir, BIN_DIR, { recursive: true, force: true }); + ensureBinaryPermissions(); + return fs.existsSync(BINARY_PATH); +} + +async function getBinaryStatus() { + const exists = ensureBundledBinaryInstalled() || fs.existsSync(BINARY_PATH); + return { + exists, + path: BINARY_PATH, + dataDir: DATA_DIR, + modelsDir: MODELS_DIR, + envVar: LOCAL_AI_DIR_ENV, + }; +} + +// Metal-enabled binaries hosted on our own release (macOS arm64 only). +// Other platforms fall back to the stock leejet release. +const CUSTOM_BINARIES = { + 'darwin-arm64': 'https://github.com/Anil-matcha/Open-Generative-AI/releases/download/v1.0.3-binaries/sd-cli-metal-macos-arm64.zip', +}; + +async function downloadBinary(mainWindow) { + const send = (data) => mainWindow?.webContents.send('local-ai:download-progress', { id: '__binary__', ...data }); + + try { + send({ phase: 'fetching-release', progress: 0 }); + + if (ensureBundledBinaryInstalled()) { + send({ phase: 'done', progress: 1 }); + return { ok: true, source: 'bundled' }; + } + + const platformKey = `${process.platform}-${process.arch}`; + const customUrl = CUSTOM_BINARIES[platformKey]; + + let downloadUrl, zipName; + + if (customUrl) { + downloadUrl = customUrl; + zipName = path.basename(customUrl); + } else { + // Walk recent releases until we find one that actually ships a + // build for this platform. leejet sometimes publishes a partial + // release (e.g. master-587 ships only Mac arm64 + Linux ROCm), + // so the very latest tag isn't always usable. + const releases = await fetchJson( + 'https://api.github.com/repos/leejet/stable-diffusion.cpp/releases?per_page=15' + ); + + let chosen = null; + let lastSeen = []; + for (const release of releases) { + const zips = (release.assets || []) + .filter(a => a.name.endsWith('.zip')); + lastSeen = zips.map(a => a.name); + const pickedName = pickBinaryAssetForPlatform({ + platform: process.platform, + arch: process.arch, + zipNames: lastSeen, + }); + if (pickedName) { + chosen = zips.find(a => a.name === pickedName); + break; + } + } + + if (!chosen) { + if (process.platform === 'darwin' && process.arch !== 'arm64') { + throw new Error('Local inference on macOS only supports Apple Silicon (M1/M2/M3/M4). Mac Intel is not supported by stable-diffusion.cpp upstream.'); + } + if (process.platform === 'linux' && process.arch === 'arm64') { + throw new Error('No upstream stable-diffusion.cpp binary found for linux-arm64. Install a build that bundles local-ai/linux-arm64/bin or provide the binary manually.'); + } + const available = lastSeen.join(', ') || '(none)'; + throw new Error(`No binary found for ${process.platform}-${process.arch} in the last 15 releases. Latest release assets: ${available}`); + } + downloadUrl = chosen.browser_download_url; + zipName = chosen.name; + } + + send({ phase: 'downloading', progress: 0 }); + const zipPath = path.join(BIN_DIR, zipName); + await downloadFile(downloadUrl, zipPath, (p) => { + send({ phase: 'downloading', progress: p }); + }); + + send({ phase: 'extracting', progress: 0.95 }); + await extractZip(zipPath, BIN_DIR); + fs.unlinkSync(zipPath); + + // The zip may extract into a subdirectory โ€” find the binary wherever it landed + const foundBinary = findFile(BIN_DIR, BINARY_NAME); + if (!foundBinary) throw new Error(`Extracted archive but could not find "${BINARY_NAME}" inside ${BIN_DIR}`); + + // Move it to the expected root location if it's nested + if (foundBinary !== BINARY_PATH) { + fs.renameSync(foundBinary, BINARY_PATH); + } + + ensureBinaryPermissions(); + + // macOS: strip Gatekeeper quarantine so the downloaded binary can run + if (process.platform === 'darwin') { + await new Promise((res) => execFile('xattr', ['-cr', BIN_DIR], () => res())); + } + + send({ phase: 'done', progress: 1 }); + return { ok: true }; + } catch (err) { + send({ phase: 'error', error: err.message }); + throw err; + } +} + +// โ”€โ”€โ”€ Model management โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function getModelState(model) { + const filePath = path.join(MODELS_DIR, model.filename); + const partPath = filePath + '.part'; + if (fs.existsSync(filePath)) return 'downloaded'; + if (fs.existsSync(partPath)) return 'partial'; + return 'not-downloaded'; +} + +function getAuxState(aux) { + const filePath = path.join(MODELS_DIR, aux.filename); + return fs.existsSync(filePath) ? 'downloaded' : 'not-downloaded'; +} + +async function listModels() { + const { LOCAL_MODEL_CATALOG, ZIMAGE_AUXILIARY } = require('./modelCatalog'); + const auxStatus = { + llm: getAuxState(ZIMAGE_AUXILIARY.llm), + vae: getAuxState(ZIMAGE_AUXILIARY.vae), + }; + return LOCAL_MODEL_CATALOG.map(m => ({ + ...m, + state: getModelState(m), + path: path.join(MODELS_DIR, m.filename), + ...(m.requiresAuxiliary ? { auxiliaryStatus: auxStatus } : {}), + })); +} + +async function downloadModel(modelId, mainWindow) { + const { LOCAL_MODEL_CATALOG } = require('./modelCatalog'); + const model = LOCAL_MODEL_CATALOG.find(m => m.id === modelId); + if (!model) throw new Error(`Unknown model: ${modelId}`); + + const destPath = path.join(MODELS_DIR, model.filename); + if (fs.existsSync(destPath)) return { ok: true, path: destPath }; + + const send = (data) => mainWindow?.webContents.send('local-ai:download-progress', { id: modelId, ...data }); + send({ phase: 'downloading', progress: 0 }); + + try { + await downloadFile(model.downloadUrl, destPath, (p) => { + send({ phase: 'downloading', progress: p }); + }); + } catch (err) { + throw new Error(`Failed to download "${model.name}" (id: ${model.id}, url: ${model.downloadUrl}): ${err.message}`); + } + + send({ phase: 'done', progress: 1 }); + return { ok: true, path: destPath }; +} + +async function downloadAuxiliary(auxKey, mainWindow) { + const { ZIMAGE_AUXILIARY } = require('./modelCatalog'); + const aux = ZIMAGE_AUXILIARY[auxKey]; + if (!aux) throw new Error(`Unknown auxiliary file: ${auxKey}`); + + const destPath = path.join(MODELS_DIR, aux.filename); + if (fs.existsSync(destPath)) return { ok: true, path: destPath }; + + const id = aux.id; + const send = (data) => mainWindow?.webContents.send('local-ai:download-progress', { id, ...data }); + send({ phase: 'downloading', progress: 0 }); + + try { + await downloadFile(aux.downloadUrl, destPath, (p) => { + send({ phase: 'downloading', progress: p }); + }); + } catch (err) { + throw new Error(`Failed to download "${aux.displayName}" (id: ${aux.id}, url: ${aux.downloadUrl}): ${err.message}`); + } + + send({ phase: 'done', progress: 1 }); + return { ok: true, path: destPath }; +} + +async function deleteModel(modelId) { + const { LOCAL_MODEL_CATALOG } = require('./modelCatalog'); + const model = LOCAL_MODEL_CATALOG.find(m => m.id === modelId); + if (!model) throw new Error(`Unknown model: ${modelId}`); + + const filePath = path.join(MODELS_DIR, model.filename); + if (fs.existsSync(filePath)) fs.unlinkSync(filePath); + const partPath = filePath + '.part'; + if (fs.existsSync(partPath)) fs.unlinkSync(partPath); + return { ok: true }; +} + +// โ”€โ”€โ”€ Generation โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function arToDimensions(ar, modelType) { + const base = (modelType === 'sdxl' || modelType === 'z-image') ? 1024 : 512; + const map = { + '1:1': [base, base], + '16:9': [Math.round(base * 16 / 9 / 64) * 64, base], + '9:16': [base, Math.round(base * 16 / 9 / 64) * 64], + '4:3': [Math.round(base * 4 / 3 / 64) * 64, base], + '3:4': [base, Math.round(base * 4 / 3 / 64) * 64], + }; + return map[ar] || [base, base]; +} + +async function generate(params, mainWindow) { + const { LOCAL_MODEL_CATALOG, ZIMAGE_AUXILIARY } = require('./modelCatalog'); + const send = (data) => mainWindow?.webContents.send('local-ai:progress', data); + + ensureBundledBinaryInstalled(); + if (!fs.existsSync(BINARY_PATH)) throw new Error('sd.cpp binary not installed. Download it in Settings > Local Models.'); + + const model = LOCAL_MODEL_CATALOG.find(m => m.id === params.model); + if (!model) throw new Error(`Unknown local model: ${params.model}`); + + const modelPath = path.join(MODELS_DIR, model.filename); + if (!fs.existsSync(modelPath)) throw new Error(`Model file not found. Download "${model.name}" in Settings > Local Models.`); + + if (model.requiresAuxiliary) { + const llmPath = path.join(MODELS_DIR, ZIMAGE_AUXILIARY.llm.filename); + const vaePath = path.join(MODELS_DIR, ZIMAGE_AUXILIARY.vae.filename); + if (!fs.existsSync(llmPath)) throw new Error('Text encoder (Qwen3-4B) not downloaded. Go to Settings > Local Models and download all required files for Z-Image.'); + if (!fs.existsSync(vaePath)) throw new Error('VAE (ae.safetensors) not downloaded. Go to Settings > Local Models and download all required files for Z-Image.'); + } + + const [width, height] = arToDimensions(params.aspect_ratio || '1:1', model.type); + const seed = params.seed && params.seed !== -1 ? params.seed : Math.floor(Math.random() * 2147483647); + const outPath = path.join(TMP_DIR, `gen-${Date.now()}.png`); + + const steps = resolveGenerationSteps(params, model); + const cfgScale = resolveGuidanceScale(params, model); + const sampler = model.sampler || 'euler_a'; + + // z-image GGUFs are standalone diffusion transformers loaded via --diffusion-model. + // -m triggers full-model SD version detection which fails for these files (0 KV metadata). + const modelFlag = (model.type === 'z-image' || model.type === 'flux') + ? '--diffusion-model' + : '-m'; + + const args = [ + modelFlag, modelPath, + '-p', params.prompt || '', + '-o', outPath, + '--steps', String(steps), + '-H', String(height), + '-W', String(width), + '--cfg-scale', String(cfgScale), + '--seed', String(seed), + '--sampling-method', sampler, + '-v', + ]; + + if (params.negative_prompt) { + args.push('-n', params.negative_prompt); + } + + if (model.type === 'z-image') { + const llmPath = path.join(MODELS_DIR, ZIMAGE_AUXILIARY.llm.filename); + const vaePath = path.join(MODELS_DIR, ZIMAGE_AUXILIARY.vae.filename); + args.push('--llm', llmPath); + args.push('--vae', vaePath); + if (model.scheduler) args.push('--scheduler', model.scheduler); + } else if (model.type === 'sdxl') { + args.push('--sd-version', 'sdxl'); + } else if (model.type === 'sd2') { + args.push('--sd-version', 'sd2'); + } else if (model.type === 'flux') { + args.push('--flux'); + } + + return new Promise((resolve, reject) => { + const startupStartedAt = Date.now(); + let startupHeartbeat = null; + let samplingStarted = false; + + const sendStartupProgress = () => { + send({ + step: 0, + totalSteps: steps, + status: 'starting', + progress: 0, + message: formatStartupProgressMessage(Date.now() - startupStartedAt), + }); + }; + const stopStartupHeartbeat = () => { + if (startupHeartbeat) { + clearInterval(startupHeartbeat); + startupHeartbeat = null; + } + }; + + sendStartupProgress(); + startupHeartbeat = setInterval(() => { + if (!samplingStarted) sendStartupProgress(); + }, 5000); + + console.log('[sd-cli] command:', BINARY_PATH, args.join(' ')); + // DYLD_LIBRARY_PATH lets macOS find libstable-diffusion.dylib next to sd-cli + const spawnEnv = { ...process.env, DYLD_LIBRARY_PATH: BIN_DIR, LD_LIBRARY_PATH: BIN_DIR }; + activeProcess = spawn(BINARY_PATH, args, { env: spawnEnv }); + const progressState = { tail: '', lastStep: 0, lastTotalSteps: 0 }; + const outputLines = []; + + const handleOutput = (data) => { + const line = data.toString(); + outputLines.push(line.trimEnd()); + const progressEvents = parseGenerationProgressChunk(line, progressState); + for (const event of progressEvents) { + samplingStarted = true; + stopStartupHeartbeat(); + send({ ...event, status: 'generating' }); + } + }; + + activeProcess.stdout.on('data', handleOutput); + activeProcess.stderr.on('data', handleOutput); + + activeProcess.on('close', (code) => { + stopStartupHeartbeat(); + activeProcess = null; + const allOutput = outputLines.filter(l => l.trim()).join('\n'); + console.error('[sd-cli] full output:\n' + allOutput); + if (code !== 0) { + const tail = outputLines.filter(l => l.trim()).slice(-20).join('\n'); + const killed = code === null; + const hint = killed + ? 'sd-cli was terminated before finishing (often OOM on Z-Image/SDXL โ€” try a smaller SD 1.5 model or close other apps). ' + : ''; + reject(new Error(`${hint}sd-cli exited (code ${code ?? 'signal'}):\n${tail}`)); + return; + } + if (!fs.existsSync(outPath)) { + reject(new Error('sd.cpp finished but no output image found')); + return; + } + try { + const imgBuffer = fs.readFileSync(outPath); + const dataUrl = `data:image/png;base64,${imgBuffer.toString('base64')}`; + fs.unlinkSync(outPath); + send({ step: steps, totalSteps: steps, status: 'done', progress: 1 }); + resolve({ url: dataUrl, seed }); + } catch (err) { + reject(err); + } + }); + + activeProcess.on('error', (err) => { + stopStartupHeartbeat(); + activeProcess = null; + reject(err); + }); + }); +} + +function cancelGeneration() { + if (activeProcess) { + activeProcess.kill('SIGTERM'); + activeProcess = null; + } + return { ok: true }; +} + +// โ”€โ”€โ”€ IPC Registration โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function getMainWindow() { + return BrowserWindow.getAllWindows()[0] || null; +} + +function register() { + ensureLocalAiPaths(); + ipcMain.handle('local-ai:binary-status', () => getBinaryStatus()); + ipcMain.handle('local-ai:download-binary', () => downloadBinary(getMainWindow())); + ipcMain.handle('local-ai:list-models', () => listModels()); + ipcMain.handle('local-ai:download-model', (_, modelId) => downloadModel(modelId, getMainWindow())); + ipcMain.handle('local-ai:download-auxiliary', (_, auxKey) => downloadAuxiliary(auxKey, getMainWindow())); + ipcMain.handle('local-ai:delete-model', (_, modelId) => deleteModel(modelId)); + ipcMain.handle('local-ai:generate', (_, params) => generate(params, getMainWindow())); + ipcMain.handle('local-ai:cancel-generation', () => cancelGeneration()); +} + +module.exports = { + register, +}; diff --git a/electron/lib/localInferenceAssets.js b/electron/lib/localInferenceAssets.js new file mode 100644 index 0000000..420ee50 --- /dev/null +++ b/electron/lib/localInferenceAssets.js @@ -0,0 +1,49 @@ +const path = require('path'); + +function pickBinaryAssetForPlatform({ platform, arch, zipNames }) { + const isSdCliZip = (name) => name.startsWith('sd-master-') || name.includes('-bin-'); + const candidates = zipNames.filter(isSdCliZip); + + if (platform === 'darwin') { + if (arch !== 'arm64') return null; + return candidates.find((name) => name.includes('Darwin') && name.includes('arm64')) || null; + } + + if (platform === 'win32') { + const winCandidates = candidates.filter((name) => /win-(avx2?|avx512|noavx|cuda12|cu12)-x64/.test(name)); + const order = ['win-avx2-x64', 'win-avx-x64', 'win-avx512-x64', 'win-noavx-x64', 'win-cuda12-x64', 'win-cu12-x64']; + for (const tag of order) { + const hit = winCandidates.find((name) => name.includes(tag)); + if (hit) return hit; + } + return null; + } + + if (platform === 'linux' && arch === 'arm64') { + const linuxArmCandidates = candidates.filter((name) => + name.includes('Linux') && (name.includes('aarch64') || name.includes('arm64')) + ); + const plain = linuxArmCandidates.find((name) => !name.includes('rocm') && !name.includes('vulkan')); + return plain + || linuxArmCandidates.find((name) => name.includes('vulkan')) + || linuxArmCandidates.find((name) => name.includes('rocm')) + || null; + } + + const linuxCandidates = candidates.filter((name) => name.includes('Linux') && name.includes('x86_64')); + const plain = linuxCandidates.find((name) => !name.includes('rocm') && !name.includes('vulkan')); + return plain + || linuxCandidates.find((name) => name.includes('vulkan')) + || linuxCandidates.find((name) => name.includes('rocm')) + || null; +} + +function getBundledBinaryResourceDir({ resourcesPath, platform, arch }) { + const pathLib = platform === 'win32' ? path.win32 : path.posix; + return pathLib.join(resourcesPath, 'local-ai', `${platform}-${arch}`, 'bin'); +} + +module.exports = { + getBundledBinaryResourceDir, + pickBinaryAssetForPlatform, +}; diff --git a/electron/lib/localInferencePaths.js b/electron/lib/localInferencePaths.js new file mode 100644 index 0000000..e6b5be8 --- /dev/null +++ b/electron/lib/localInferencePaths.js @@ -0,0 +1,29 @@ +const path = require('path'); + +const LOCAL_AI_DIR_ENV = 'OPEN_GENERATIVE_AI_LOCAL_AI_DIR'; + +function normalizeDirOverride(value) { + return typeof value === 'string' ? value.trim() : ''; +} + +function resolveLocalAiPaths({ userDataPath, env = process.env } = {}) { + const customDir = normalizeDirOverride(env[LOCAL_AI_DIR_ENV]); + + if (!customDir && !userDataPath) { + throw new Error(`userDataPath is required when ${LOCAL_AI_DIR_ENV} is not set`); + } + + const dataDir = path.resolve(customDir || path.join(userDataPath, 'local-ai')); + + return { + dataDir, + binDir: path.join(dataDir, 'bin'), + modelsDir: path.join(dataDir, 'models'), + tmpDir: path.join(dataDir, 'tmp'), + }; +} + +module.exports = { + LOCAL_AI_DIR_ENV, + resolveLocalAiPaths, +}; diff --git a/electron/lib/localInferenceRuntime.js b/electron/lib/localInferenceRuntime.js new file mode 100644 index 0000000..ad27002 --- /dev/null +++ b/electron/lib/localInferenceRuntime.js @@ -0,0 +1,104 @@ +function coerceFiniteNumber(value) { + if (value === null || value === undefined || value === '') return null; + const parsed = Number(value); + return Number.isFinite(parsed) ? parsed : null; +} + +function resolveGenerationSteps(params, model) { + const requested = coerceFiniteNumber(params?.steps); + if (requested !== null && requested > 0) { + return Math.max(1, Math.round(requested)); + } + + const modelDefault = coerceFiniteNumber(model?.defaultSteps); + if (modelDefault !== null && modelDefault > 0) { + return Math.max(1, Math.round(modelDefault)); + } + + return 20; +} + +function resolveGuidanceScale(params, model) { + const requested = coerceFiniteNumber(params?.guidance_scale); + if (requested !== null) return requested; + + const modelDefault = coerceFiniteNumber(model?.defaultGuidance); + if (modelDefault !== null) return modelDefault; + + return 7.5; +} + +function formatStartupProgressMessage(elapsedMs) { + const seconds = Math.max(0, Math.floor((Number(elapsedMs) || 0) / 1000)); + if (seconds < 10) return 'Starting local model...'; + if (seconds < 60) return `Loading local model (${seconds}s)...`; + + const minutes = Math.floor(seconds / 60); + const remainingSeconds = seconds % 60; + return `Loading local model (${minutes}m ${remainingSeconds}s)...`; +} + +function stripAnsiSequences(text) { + return text.replace(/\u001b\[[0-9;?]*[ -/]*[@-~]/g, ''); +} + +function extractProgressEvents(text) { + const events = []; + const patterns = [ + /step\s+(\d+)\s*\/\s*(\d+)/ig, + /(\d+)\s*\/\s*(\d+)\s*-\s*[\d.]+s\/it/ig, + ]; + + for (const pattern of patterns) { + let match = pattern.exec(text); + while (match) { + const step = Number.parseInt(match[1], 10); + const totalSteps = Number.parseInt(match[2], 10); + if (Number.isFinite(step) && Number.isFinite(totalSteps) && totalSteps > 0) { + events.push({ + step, + totalSteps, + progress: Math.min(1, step / totalSteps), + }); + } + match = pattern.exec(text); + } + } + + events.sort((left, right) => { + if (left.totalSteps !== right.totalSteps) return left.totalSteps - right.totalSteps; + return left.step - right.step; + }); + return events; +} + +function parseGenerationProgressChunk(chunk, state = { tail: '', lastStep: 0, lastTotalSteps: 0 }) { + const normalizedChunk = stripAnsiSequences(String(chunk)).replace(/\r/g, '\n'); + const combined = `${state.tail}${normalizedChunk}`; + const events = extractProgressEvents(combined); + const freshEvents = []; + + for (const event of events) { + if (event.totalSteps !== state.lastTotalSteps) { + state.lastTotalSteps = event.totalSteps; + state.lastStep = 0; + } + if (event.step > state.lastStep) { + state.lastStep = event.step; + freshEvents.push(event); + } + } + + state.tail = combined.slice(-1024); + return freshEvents; +} + +module.exports = { + coerceFiniteNumber, + extractProgressEvents, + formatStartupProgressMessage, + parseGenerationProgressChunk, + resolveGenerationSteps, + resolveGuidanceScale, + stripAnsiSequences, +}; diff --git a/electron/lib/modelCatalog.js b/electron/lib/modelCatalog.js new file mode 100644 index 0000000..d2e5bdf --- /dev/null +++ b/electron/lib/modelCatalog.js @@ -0,0 +1,131 @@ +// Curated local model catalog for sd.cpp +// All models must be publicly available (no auth required) + +// Shared auxiliary files needed by Z-Image type models +const ZIMAGE_AUXILIARY = { + llm: { + id: '__llm__', + filename: 'Qwen3-4B-Instruct-2507-UD-Q4_K_XL.gguf', + displayName: 'Qwen3-4B Text Encoder', + sizeGB: 2.4, + downloadUrl: 'https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/resolve/main/Qwen3-4B-Instruct-2507-UD-Q4_K_XL.gguf', + }, + vae: { + id: '__vae__', + filename: 'ae.safetensors', + displayName: 'FLUX VAE', + sizeGB: 0.33, + downloadUrl: 'https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors', + }, +}; + +const LOCAL_MODEL_CATALOG = [ + // โ”€โ”€ Z-Image (Tongyi-MAI) โ€” native sd.cpp GGUF support โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + // Requires auxiliary files: Qwen3-4B LLM text encoder + FLUX VAE + { + id: 'z-image-turbo', + name: 'Z-Image Turbo', + description: 'WaveSpeed\'s featured local model โ€” ultra-fast 8-step generation. No API key needed. Requires text encoder + VAE (~2.7 GB extra).', + type: 'z-image', + filename: 'z_image_turbo-Q4_K.gguf', + sizeGB: 2.5, + downloadUrl: 'https://huggingface.co/leejet/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q4_K.gguf', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 1024, + defaultHeight: 1024, + defaultSteps: 8, + defaultGuidance: 1.0, + sampler: 'euler', + scheduler: 'simple', + tags: ['turbo', 'fast', 'local', 'featured'], + featured: true, + requiresAuxiliary: true, + }, + { + id: 'z-image-base', + name: 'Z-Image Base', + description: 'Full-quality model from Tongyi-MAI โ€” higher detail, 50-step generation. Requires text encoder + VAE (~2.7 GB extra).', + type: 'z-image', + filename: 'z-image-Q4_K_M.gguf', + sizeGB: 3.5, + downloadUrl: 'https://huggingface.co/unsloth/Z-Image-GGUF/resolve/main/z-image-Q4_K_M.gguf', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 1024, + defaultHeight: 1024, + defaultSteps: 50, + defaultGuidance: 7.5, + sampler: 'euler', + scheduler: 'simple', + tags: ['high-quality', 'local', 'detailed'], + featured: true, + requiresAuxiliary: true, + }, + // โ”€โ”€ Classic SD 1.5 models โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + { + id: 'dreamshaper-8', + name: 'Dreamshaper 8', + description: 'Versatile SD 1.5 model โ€” great for portraits, landscapes, and artistic styles.', + type: 'sd1', + filename: 'DreamShaper_8_pruned.safetensors', + sizeGB: 2.1, + downloadUrl: 'https://huggingface.co/Lykon/DreamShaper/resolve/main/DreamShaper_8_pruned.safetensors', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 512, + defaultHeight: 512, + defaultSteps: 20, + defaultGuidance: 7.5, + sampler: 'euler_a', + tags: ['photorealistic', 'artistic', 'versatile'], + }, + { + id: 'realistic-vision-v51', + name: 'Realistic Vision v5.1', + description: 'Highly photorealistic people and scenes, based on SD 1.5.', + type: 'sd1', + filename: 'realisticVisionV51_v51VAE.safetensors', + sizeGB: 2.1, + downloadUrl: 'https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE/resolve/main/Realistic_Vision_V5.1_fp16-no-ema.safetensors', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 512, + defaultHeight: 768, + defaultSteps: 25, + defaultGuidance: 7, + sampler: 'euler_a', + tags: ['photorealistic', 'portraits', 'people'], + }, + { + id: 'anything-v5', + name: 'Anything v5', + description: 'High quality anime and illustration style image generation.', + type: 'sd1', + filename: 'Anything-v5.0-PRT.safetensors', + sizeGB: 2.1, + downloadUrl: 'https://huggingface.co/Yntec/AnythingV5/resolve/main/Anything-v5.0-PRT.safetensors', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 512, + defaultHeight: 768, + defaultSteps: 20, + defaultGuidance: 7, + sampler: 'euler_a', + tags: ['anime', 'illustration', 'artistic'], + }, + // โ”€โ”€ SDXL โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + { + id: 'stable-diffusion-xl-base', + name: 'SDXL Base 1.0', + description: 'Official Stable Diffusion XL base model โ€” higher resolution, excellent quality.', + type: 'sdxl', + filename: 'sd_xl_base_1.0.safetensors', + sizeGB: 6.9, + downloadUrl: 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors', + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultWidth: 1024, + defaultHeight: 1024, + defaultSteps: 30, + defaultGuidance: 7.5, + sampler: 'dpmpp2m', + tags: ['sdxl', 'high-quality', 'versatile'], + }, +]; + +module.exports = { LOCAL_MODEL_CATALOG, ZIMAGE_AUXILIARY }; diff --git a/electron/lib/wan2gpModelAvailability.js b/electron/lib/wan2gpModelAvailability.js new file mode 100644 index 0000000..295cd9a --- /dev/null +++ b/electron/lib/wan2gpModelAvailability.js @@ -0,0 +1,33 @@ +function withWan2gpAvailability(model, probeResult, cachedResolution) { + if (!probeResult?.ok) { + return { + ...model, + ready: false, + unavailableReason: probeResult?.error || 'Wan2GP probe failed', + }; + } + + const apiNames = Array.isArray(cachedResolution?.apiNames) ? cachedResolution.apiNames : []; + const realFn = cachedResolution?.resolved?.get?.(model.id) || null; + + if (realFn) { + return { ...model, ready: true, fn: realFn }; + } + + if (apiNames.length === 0) { + return { + ...model, + ready: true, + fn: model.fn, + availabilityNote: 'Wan2GP did not expose endpoint metadata; using the default api_name.', + }; + } + + return { + ...model, + ready: false, + unavailableReason: `Wan2GP server has no api_name matching "${model.fn}". Check Wan2GP version or load this model in its UI.`, + }; +} + +module.exports = { withWan2gpAvailability }; diff --git a/electron/lib/wan2gpProvider.js b/electron/lib/wan2gpProvider.js new file mode 100644 index 0000000..68f6c83 --- /dev/null +++ b/electron/lib/wan2gpProvider.js @@ -0,0 +1,456 @@ +// Wan2GP HTTP provider โ€” alternate local engine alongside sd.cpp. +// User runs Wan2GP themselves (https://github.com/deepbeepmeep/Wan2GP) and +// points this app at its Gradio server. We never bundle Python or weights. +// Useful when sd.cpp can't run a model (e.g. video) or the user has a +// dedicated CUDA box and only wants this Mac as the UI. + +const { ipcMain, app, BrowserWindow } = require('electron'); +const path = require('path'); +const fs = require('fs'); +const http = require('http'); +const https = require('https'); +const { withWan2gpAvailability } = require('./wan2gpModelAvailability'); + +const DATA_DIR = path.join(app.getPath('userData'), 'local-ai'); +const CONFIG_FILE = path.join(DATA_DIR, 'wan2gp.json'); +fs.mkdirSync(DATA_DIR, { recursive: true }); + +// โ”€โ”€โ”€ Catalog โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +// `fn` is the *preferred* Gradio api_name Wan2GP exposes via /gradio_api/call/. +// Wan2GP builds rename these between versions (and Pinokio packages drop them +// entirely on some endpoints), so at probe time we pull /info from the server +// and remap each catalog entry's `fn` to whatever is actually registered. The +// `fnAliases` list lets us match newer/older variants; `family` is the final +// fallback for fuzzy matching. See resolveFnNames() below. +const WAN2GP_CATALOG = [ + { + id: 'wan2gp:flux-dev', + name: 'Flux.1 Dev (Wan2GP)', + description: 'Image โ€” FLUX.1 dev served by Wan2GP. 1024px output.', + type: 'image', + family: 'flux', + provider: 'wan2gp', + fn: 'flux', + fnAliases: ['flux_dev', 'flux_1_dev', 'flux1_dev', 'flux_image'], + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultSteps: 28, + defaultGuidance: 3.5, + tags: ['image', 'flux', 'remote'], + }, + { + id: 'wan2gp:qwen-image', + name: 'Qwen Image (Wan2GP)', + description: 'Image โ€” Qwen-Image text-to-image served by Wan2GP.', + type: 'image', + family: 'qwen', + provider: 'wan2gp', + fn: 'qwen_image', + fnAliases: ['qwen', 'qwen_t2i', 'qwen_image_t2i'], + aspectRatios: ['1:1', '4:3', '3:4', '16:9', '9:16'], + defaultSteps: 30, + defaultGuidance: 4.0, + tags: ['image', 'qwen', 'remote'], + }, + { + id: 'wan2gp:wan22-t2v', + name: 'Wan 2.2 (Text-to-Video)', + description: 'Video โ€” Wan 2.2 text-to-video. Slow on consumer GPUs.', + type: 'video', + family: 'wan', + provider: 'wan2gp', + fn: 'wan22_t2v', + fnAliases: ['wan_2_2_t2v', 'wan22_text2video', 'wan_t2v', 'wan2_2_t2v', 't2v'], + aspectRatios: ['16:9', '1:1', '9:16'], + defaultSteps: 25, + defaultGuidance: 5.0, + tags: ['video', 'wan', 'text-to-video'], + }, + { + id: 'wan2gp:wan22-i2v', + name: 'Wan 2.2 (Image-to-Video)', + description: 'Video โ€” Wan 2.2 image-to-video. Provide a start frame.', + type: 'video', + family: 'wan', + provider: 'wan2gp', + fn: 'wan22_i2v', + fnAliases: ['wan_2_2_i2v', 'wan22_image2video', 'wan_i2v', 'wan2_2_i2v', 'i2v'], + needsImage: true, + aspectRatios: ['16:9', '1:1', '9:16'], + defaultSteps: 25, + defaultGuidance: 5.0, + tags: ['video', 'wan', 'image-to-video'], + }, + { + id: 'wan2gp:hunyuan-video', + name: 'Hunyuan Video (Wan2GP)', + description: 'Video โ€” Hunyuan text-to-video via Wan2GP.', + type: 'video', + family: 'hunyuan', + provider: 'wan2gp', + fn: 'hunyuan_video', + fnAliases: ['hunyuan', 'hunyuan_t2v', 'hyvideo', 'hy_video'], + aspectRatios: ['16:9', '1:1', '9:16'], + defaultSteps: 30, + defaultGuidance: 6.0, + tags: ['video', 'hunyuan'], + }, + { + id: 'wan2gp:ltx-video', + name: 'LTX Video (Wan2GP)', + description: 'Video โ€” LTX text-to-video. Fastest video option in Wan2GP.', + type: 'video', + family: 'ltx', + provider: 'wan2gp', + fn: 'ltx_video', + fnAliases: ['ltx', 'ltx_t2v', 'ltxv', 'ltx_v', 'ltx_2', 'ltx2'], + aspectRatios: ['16:9', '1:1', '9:16'], + defaultSteps: 20, + defaultGuidance: 3.0, + tags: ['video', 'ltx', 'fast'], + }, +]; + +function getModelById(id) { return WAN2GP_CATALOG.find(m => m.id === id) || null; } + +// โ”€โ”€โ”€ Config โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function readConfig() { + if (!fs.existsSync(CONFIG_FILE)) return { url: '' }; + try { return JSON.parse(fs.readFileSync(CONFIG_FILE, 'utf-8')); } + catch { return { url: '' }; } +} +function writeConfig(cfg) { fs.writeFileSync(CONFIG_FILE, JSON.stringify(cfg, null, 2)); } +function normalizeUrl(url) { return (url || '').trim().replace(/\/+$/, ''); } + +// โ”€โ”€โ”€ State โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +let activeAbort = null; + +// Map of uploaded source URL โ†’ { path, url, orig_name } so generate() can +// rehydrate the Gradio file descriptor when the renderer passes the URL back. +const uploadedFiles = new Map(); + +// Per-base cache of resolved api_names. Populated by probe(); consumed by +// listModels() and generate(). Without this we'd hit FnIndexInferError on +// every call because Wan2GP's api_name strings drift between releases. +// Shape: Map }> +const fnResolutionCache = new Map(); + +// โ”€โ”€โ”€ HTTP helpers โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function httpJson(urlStr, { method = 'GET', body = null, timeoutMs = 5000 } = {}) { + return new Promise((resolve, reject) => { + const u = new URL(urlStr); + const mod = u.protocol === 'https:' ? https : http; + const headers = body ? { 'Content-Type': 'application/json' } : {}; + const req = mod.request({ + hostname: u.hostname, port: u.port, path: u.pathname + u.search, + method, headers, + }, (res) => { + let buf = ''; + res.on('data', (d) => { buf += d; }); + res.on('end', () => resolve({ status: res.statusCode, body: buf })); + res.on('error', reject); + }); + req.on('error', reject); + req.setTimeout(timeoutMs, () => req.destroy(new Error('Request timed out'))); + if (body) req.write(body); + req.end(); + }); +} + +// Pull the list of registered api_names from Gradio's /info endpoint. +// Gradio v4 exposes { named_endpoints: { "/api_name": {...}, ... } }; older +// builds use the legacy /api or a flat dependencies array. We try /info first, +// fall back to /api, and finally to /config['dependencies']. Returns an array +// of bare api_name strings (no leading slash). Empty array means we couldn't +// discover any โ€” the server is reachable but doesn't expose a name index. +async function fetchApiNames(base) { + const candidates = [`${base}/info`, `${base}/api`, `${base}/gradio_api/info`]; + for (const candidate of candidates) { + try { + const res = await httpJson(candidate, { timeoutMs: 8000 }); + if (res.status !== 200) continue; + const parsed = JSON.parse(res.body); + const named = parsed.named_endpoints || parsed.unnamed_endpoints || parsed; + if (named && typeof named === 'object') { + const keys = Object.keys(named).filter(k => k.startsWith('/')); + if (keys.length) return keys.map(k => k.replace(/^\/+/, '')); + } + } catch { /* try next */ } + } + // Legacy fallback โ€” /config exposes dependencies[] with api_name fields. + try { + const res = await httpJson(`${base}/config`, { timeoutMs: 5000 }); + if (res.status === 200) { + const cfg = JSON.parse(res.body); + const deps = Array.isArray(cfg.dependencies) ? cfg.dependencies : []; + return deps.map(d => d.api_name).filter(n => typeof n === 'string' && n && n !== 'false'); + } + } catch { /* ignore */ } + return []; +} + +// Map each catalog model to a real api_name on this server. Strategy: +// 1. exact match on `fn` +// 2. exact match on any `fnAliases` entry +// 3. fuzzy: api_name contains the model's `family` substring +// (e.g. catalog wants `ltx_video`; server registered `ltx_2_t2v` โ†’ match) +// Returns { resolved: Map, apiNames: string[] }. +function resolveFnNames(apiNames) { + const set = new Set(apiNames); + const resolved = new Map(); + for (const m of WAN2GP_CATALOG) { + let hit = null; + if (set.has(m.fn)) hit = m.fn; + if (!hit && Array.isArray(m.fnAliases)) { + for (const a of m.fnAliases) { if (set.has(a)) { hit = a; break; } } + } + if (!hit && m.family) { + // Prefer names that also match the type (image vs video keyword). + const typeHint = m.type === 'video' ? /(video|t2v|i2v|v2v)/i : /(image|t2i|txt2img)/i; + const fuzzy = apiNames.find(n => n.toLowerCase().includes(m.family) && typeHint.test(n)) + || apiNames.find(n => n.toLowerCase().includes(m.family)); + if (fuzzy) hit = fuzzy; + } + resolved.set(m.id, hit); + } + return { resolved, apiNames }; +} + +async function probe(url) { + const base = normalizeUrl(url); + if (!base) return { ok: false, error: 'URL is empty' }; + try { + const res = await httpJson(`${base}/config`, { timeoutMs: 5000 }); + if (res.status !== 200) return { ok: false, error: `HTTP ${res.status} from /config โ€” is this a Gradio server?` }; + const cfg = JSON.parse(res.body); + const apiNames = await fetchApiNames(base); + const { resolved } = resolveFnNames(apiNames); + fnResolutionCache.set(base, { apiNames, resolved }); + const matched = [...resolved.values()].filter(Boolean).length; + return { + ok: true, + version: cfg.version || 'unknown', + apiNames, + matchedModels: matched, + totalModels: WAN2GP_CATALOG.length, + }; + } catch (e) { + return { ok: false, error: e.message }; + } +} + +// โ”€โ”€โ”€ Upload (Gradio v4 /upload) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +// Renderer hands us { name, type, bytes:Uint8Array }. We POST as multipart to +// /upload?upload_id=; Gradio replies with an array of server paths. +// We expose those as a stable HTTP URL the renderer can preview AND stash the +// raw path for generate() to feed back into Gradio's file descriptor. +async function uploadFile({ name, type, bytes }) { + const { url } = readConfig(); + if (!url) throw new Error('Wan2GP server URL not set. Open Settings โ†’ Local Models to configure.'); + const base = normalizeUrl(url); + + if (!bytes || !bytes.length) throw new Error('Empty file payload'); + const safeName = name || 'upload.bin'; + const mime = type || 'application/octet-stream'; + + const blob = new Blob([new Uint8Array(bytes)], { type: mime }); + const form = new FormData(); + form.append('files', blob, safeName); + + const uploadId = Math.random().toString(36).slice(2, 12); + const res = await fetch(`${base}/upload?upload_id=${uploadId}`, { method: 'POST', body: form }); + if (!res.ok) throw new Error(`Wan2GP upload failed: HTTP ${res.status}`); + + const paths = await res.json(); + const path = Array.isArray(paths) ? paths[0] : paths; + if (!path || typeof path !== 'string') throw new Error('Wan2GP upload returned no path'); + + const fileUrl = `${base}/file=${path.replace(/^\/+/, '')}`; + uploadedFiles.set(fileUrl, { path, url: fileUrl, orig_name: safeName, mime_type: mime }); + return { url: fileUrl, path }; +} + +async function listModels() { + const { url } = readConfig(); + if (!url) return WAN2GP_CATALOG.map(m => ({ ...m, ready: false, unavailableReason: 'Wan2GP URL not set' })); + const base = normalizeUrl(url); + const probeRes = await probe(url); // populates fnResolutionCache + const cached = fnResolutionCache.get(base); + return WAN2GP_CATALOG.map(m => withWan2gpAvailability(m, probeRes, cached)); +} + +// โ”€โ”€โ”€ Generate โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function arToDimensions(ar) { + const base = 1024; + const map = { + '1:1': [base, base], + '16:9': [Math.round(base * 16 / 9 / 64) * 64, base], + '9:16': [base, Math.round(base * 16 / 9 / 64) * 64], + '4:3': [Math.round(base * 4 / 3 / 64) * 64, base], + '3:4': [base, Math.round(base * 4 / 3 / 64) * 64], + }; + return map[ar] || [base, base]; +} + +// Gradio v4 protocol: POST /gradio_api/call/ โ†’ { event_id } +// GET /gradio_api/call// โ†’ SSE stream +async function gradioCall(base, fn, payload, onProgress, signal) { + const post = await fetch(`${base}/gradio_api/call/${fn}`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), + signal, + }); + if (!post.ok) throw new Error(`Wan2GP POST /call/${fn} โ†’ HTTP ${post.status}`); + const { event_id } = await post.json(); + if (!event_id) throw new Error('Wan2GP did not return an event_id'); + + const stream = await fetch(`${base}/gradio_api/call/${fn}/${event_id}`, { signal }); + if (!stream.ok) throw new Error(`Wan2GP stream โ†’ HTTP ${stream.status}`); + + const reader = stream.body.getReader(); + const dec = new TextDecoder(); + let buf = ''; + + while (true) { + const { value, done } = await reader.read(); + if (done) break; + buf += dec.decode(value, { stream: true }); + + const blocks = buf.split('\n\n'); + buf = blocks.pop(); + for (const block of blocks) { + const eMatch = block.match(/event:\s*(\S+)/); + const dMatch = block.match(/data:\s*(.*)$/s); + if (!eMatch) continue; + const evt = eMatch[1]; + const dataStr = dMatch ? dMatch[1].trim() : ''; + + if (evt === 'generating' || evt === 'process_generating') { + const m = dataStr.match(/"progress":\s*([\d.]+)/); + if (m && onProgress) onProgress(parseFloat(m[1])); + } else if (evt === 'complete' || evt === 'process_completes') { + try { + const parsed = JSON.parse(dataStr); + return Array.isArray(parsed) ? parsed : (parsed.data || parsed); + } catch { + throw new Error(`Wan2GP returned malformed completion: ${dataStr.slice(0, 200)}`); + } + } else if (evt === 'error' || evt === 'process_error') { + throw new Error(`Wan2GP error: ${dataStr.slice(0, 200)}`); + } + } + } + throw new Error('Wan2GP stream ended without a completion event'); +} + +function resolveOutputUrl(base, output) { + const first = Array.isArray(output) ? output[0] : output; + if (!first) return null; + if (typeof first === 'string') { + return first.startsWith('http') ? first : `${base}/file=${first.replace(/^\/+/, '')}`; + } + if (first.url) return first.url.startsWith('http') ? first.url : `${base}${first.url}`; + if (first.path) return `${base}/file=${first.path.replace(/^\/+/, '')}`; + return null; +} + +async function generate(params, mainWindow) { + const { url } = readConfig(); + if (!url) throw new Error('Wan2GP server URL not set. Open Settings โ†’ Local Models to configure.'); + const base = normalizeUrl(url); + + const model = getModelById(params.model); + if (!model) throw new Error(`Unknown Wan2GP model: ${params.model}`); + + const send = (data) => mainWindow?.webContents.send('local-ai:progress', data); + send({ status: 'starting', progress: 0 }); + + const [width, height] = arToDimensions(params.aspect_ratio || '1:1'); + const seed = params.seed && params.seed !== -1 ? params.seed : Math.floor(Math.random() * 2147483647); + const steps = params.steps ?? model.defaultSteps; + const guidance = params.guidance_scale ?? model.defaultGuidance; + + // Image input โ†’ resolve to a Gradio file descriptor if we uploaded it. + let imageDescriptor = null; + if (params.image) { + const cached = uploadedFiles.get(params.image); + if (cached) { + imageDescriptor = { path: cached.path, url: cached.url, orig_name: cached.orig_name, mime_type: cached.mime_type, meta: { _type: 'gradio.FileData' } }; + } else if (typeof params.image === 'string') { + imageDescriptor = params.image; // raw URL โ€” Gradio fetches it + } else { + imageDescriptor = params.image; + } + } + if (model.needsImage && !imageDescriptor) { + throw new Error(`${model.name} requires a start-frame image โ€” upload one first.`); + } + + // Generic positional input โ€” adjust upstream `fn` if signature differs. + const payload = { + data: [ + params.prompt || '', + params.negative_prompt || '', + width, height, steps, guidance, seed, + imageDescriptor, + ], + }; + + // Resolve to whatever api_name the server actually exposes. Falls back to + // the catalog default so a user with a current Wan2GP build still works + // even if /info isn't reachable. + let cached = fnResolutionCache.get(base); + if (!cached) { await probe(url); cached = fnResolutionCache.get(base); } + const realFn = cached?.resolved.get(model.id) || model.fn; + if (cached && cached.apiNames.length && !cached.resolved.get(model.id)) { + const sample = cached.apiNames.slice(0, 8).join(', '); + throw new Error( + `${model.name}: Wan2GP server doesn't expose an api_name matching "${model.fn}". ` + + `Available endpoints: ${sample}${cached.apiNames.length > 8 ? 'โ€ฆ' : ''}. ` + + `Make sure the model is loaded in Wan2GP, or update Wan2GP to a build that registers this api_name.` + ); + } + + const ac = new AbortController(); + activeAbort = ac; + + try { + const result = await gradioCall(base, realFn, payload, (p) => { + send({ status: 'generating', progress: p }); + }, ac.signal); + activeAbort = null; + + const mediaUrl = resolveOutputUrl(base, result); + if (!mediaUrl) throw new Error(`Wan2GP returned unrecognized output: ${JSON.stringify(result).slice(0, 200)}`); + + send({ status: 'done', progress: 1 }); + return { url: mediaUrl, mediaType: model.type, seed }; + } catch (e) { + activeAbort = null; + if (e.name === 'AbortError') throw new Error('Generation cancelled'); + throw e; + } +} + +function cancelGeneration() { + if (activeAbort) { + activeAbort.abort(); + activeAbort = null; + } + return { ok: true }; +} + +// โ”€โ”€โ”€ IPC โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function getMainWindow() { return BrowserWindow.getAllWindows()[0] || null; } + +function register() { + ipcMain.handle('wan2gp:get-config', () => readConfig()); + ipcMain.handle('wan2gp:set-url', (_, url) => { writeConfig({ url: normalizeUrl(url) }); return { ok: true }; }); + ipcMain.handle('wan2gp:probe', (_, url) => probe(url)); + ipcMain.handle('wan2gp:list-models', () => listModels()); + ipcMain.handle('wan2gp:generate', (_, params) => generate(params, getMainWindow())); + ipcMain.handle('wan2gp:cancel-generation', () => cancelGeneration()); + ipcMain.handle('wan2gp:upload-file', (_, payload) => uploadFile(payload)); +} + +module.exports = { register, WAN2GP_CATALOG }; diff --git a/electron/main.js b/electron/main.js new file mode 100644 index 0000000..81292b9 --- /dev/null +++ b/electron/main.js @@ -0,0 +1,95 @@ +const { app, BrowserWindow, shell, dialog } = require('electron'); +const path = require('path'); +const { register: registerLocalInference } = require('./lib/localInference'); +const { register: registerWan2gp } = require('./lib/wan2gpProvider'); + +process.on('uncaughtException', (err) => { + console.error('Uncaught exception:', err); + try { + dialog.showErrorBox('Open Generative AI โ€” Unexpected Error', err && err.stack ? err.stack : String(err)); + } catch (_) { + // dialog unavailable this early; the console log above is the fallback + } +}); + +// Ubuntu 24.04+ sets kernel.apparmor_restrict_unprivileged_userns=1 which +// blocks Chromium's user namespace sandbox. The .deb package ships an AppArmor +// profile that grants the permission cleanly. When running the AppImage on an +// affected system, run once: sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0 +// or pass --no-sandbox on the command line. +if (process.platform === 'linux') { + app.commandLine.appendSwitch('disable-dev-shm-usage'); +} + +let mainWindow; + +function createWindow() { + const isMac = process.platform === 'darwin'; + + mainWindow = new BrowserWindow({ + width: 1440, + height: 900, + minWidth: 1024, + minHeight: 640, + webPreferences: { + webSecurity: true, + contextIsolation: true, + nodeIntegration: false, + preload: path.join(__dirname, 'preload.js'), + }, + ...(isMac ? { titleBarStyle: 'hiddenInset' } : {}), + backgroundColor: '#0d0d0d', + show: false, + title: 'Open Generative AI', + }); + + const indexPath = path.join(__dirname, '../dist/index.html'); + mainWindow.loadFile(indexPath).catch((err) => { + console.error('Failed to load index.html:', err); + mainWindow.show(); + }); + + mainWindow.webContents.on('did-fail-load', (event, code, desc) => { + console.error('did-fail-load:', code, desc); + }); + + mainWindow.webContents.setWindowOpenHandler(({ url }) => { + shell.openExternal(url); + return { action: 'deny' }; + }); + + mainWindow.once('ready-to-show', () => { + mainWindow.show(); + }); + + mainWindow.on('closed', () => { + mainWindow = null; + }); +} + +app.whenReady().then(() => { + createWindow(); + + try { + registerLocalInference(); + registerWan2gp(); + } catch (err) { + console.error('Failed to register local-ai/wan2gp handlers:', err); + dialog.showErrorBox( + 'Local AI features unavailable', + `Open Generative AI started, but local model support failed to initialize:\n\n${err.message}` + ); + } + + app.on('activate', () => { + if (BrowserWindow.getAllWindows().length === 0) { + createWindow(); + } + }); +}); + +app.on('window-all-closed', () => { + if (process.platform !== 'darwin') { + app.quit(); + } +}); diff --git a/electron/preload.js b/electron/preload.js new file mode 100644 index 0000000..d69d247 --- /dev/null +++ b/electron/preload.js @@ -0,0 +1,41 @@ +const { contextBridge, ipcRenderer } = require('electron'); + +contextBridge.exposeInMainWorld('localAI', { + isElectron: true, + + // โ”€โ”€ sd.cpp engine โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + getBinaryStatus: () => ipcRenderer.invoke('local-ai:binary-status'), + downloadBinary: () => ipcRenderer.invoke('local-ai:download-binary'), + + listModels: () => ipcRenderer.invoke('local-ai:list-models'), + downloadModel: (modelId) => ipcRenderer.invoke('local-ai:download-model', modelId), + downloadAuxiliary: (auxKey) => ipcRenderer.invoke('local-ai:download-auxiliary', auxKey), + deleteModel: (modelId) => ipcRenderer.invoke('local-ai:delete-model', modelId), + cancelDownload: (modelId) => ipcRenderer.invoke('local-ai:cancel-download', modelId), + + generate: (params) => ipcRenderer.invoke('local-ai:generate', params), + cancelGeneration: () => ipcRenderer.invoke('local-ai:cancel-generation'), + + // โ”€โ”€ Wan2GP engine (remote Gradio server) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + wan2gp: { + getConfig: () => ipcRenderer.invoke('wan2gp:get-config'), + setUrl: (url) => ipcRenderer.invoke('wan2gp:set-url', url), + probe: (url) => ipcRenderer.invoke('wan2gp:probe', url), + listModels: () => ipcRenderer.invoke('wan2gp:list-models'), + generate: (params) => ipcRenderer.invoke('wan2gp:generate', params), + cancelGeneration: () => ipcRenderer.invoke('wan2gp:cancel-generation'), + uploadFile: (payload) => ipcRenderer.invoke('wan2gp:upload-file', payload), + }, + + // Progress events โ€” both engines emit on local-ai:progress + onProgress: (callback) => { + const listener = (_, data) => callback(data); + ipcRenderer.on('local-ai:progress', listener); + return () => ipcRenderer.removeListener('local-ai:progress', listener); + }, + onDownloadProgress: (callback) => { + const listener = (_, data) => callback(data); + ipcRenderer.on('local-ai:download-progress', listener); + return () => ipcRenderer.removeListener('local-ai:download-progress', listener); + }, +}); diff --git a/index.html b/index.html new file mode 100644 index 0000000..5c70b09 --- /dev/null +++ b/index.html @@ -0,0 +1,15 @@ + + + + + + + + + Open Generative AI โ€” Free Open-Source AI Image and Video Studio + + +
+ + + diff --git a/jsconfig.json b/jsconfig.json new file mode 100644 index 0000000..053c398 --- /dev/null +++ b/jsconfig.json @@ -0,0 +1,11 @@ +{ + "compilerOptions": { + "baseUrl": ".", + "paths": { + "@/*": ["./*"], + "ai-agent": ["./packages/Open-Poe-AI/packages/agents/src/index.js"], + "workflow-builder": ["./packages/Vibe-Workflow/packages/workflow-builder/src/index.js"], + "design-agent": ["./packages/Open-AI-Design-Agent/packages/design-agent/src/index.js"] + } + } +} diff --git a/middleware.js b/middleware.js new file mode 100644 index 0000000..47313fd --- /dev/null +++ b/middleware.js @@ -0,0 +1,54 @@ +import { NextResponse } from 'next/server'; + +function addSecurityHeaders(response) { + // Prevent MIME type sniffing (CWE-693) + response.headers.set('X-Content-Type-Options', 'nosniff'); + // Prevent clickjacking (CWE-1021) + response.headers.set('X-Frame-Options', 'DENY'); + // Enable XSS filter in legacy browsers + response.headers.set('X-XSS-Protection', '1; mode=block'); + // Referrer policy + response.headers.set('Referrer-Policy', 'strict-origin-when-cross-origin'); + // Content Security Policy - restricts script sources to prevent XSS (CWE-79). + // connect-src covers *.muapi.ai (not just api.muapi.ai) because generated + // media, model thumbnails, and other assets are served from cdn.muapi.ai + // and other muapi subdomains that the renderer fetches directly. + response.headers.set( + 'Content-Security-Policy', + "default-src 'self'; script-src 'self' 'unsafe-eval' 'unsafe-inline'; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https:; media-src 'self' data: blob: https:; connect-src 'self' https://muapi.ai https://*.muapi.ai; font-src 'self' data:;" + ); + return response; +} + +export function middleware(request) { + const url = request.nextUrl; + + // Catch requests to /api/workflow, /api/app, and /api/v1 + const isMuApi = url.pathname.startsWith('/api/workflow') || + url.pathname.startsWith('/api/app') || + url.pathname.startsWith('/api/v1'); + + if (isMuApi) { + // Exclude paths that have their own dedicated route handlers with custom logic + const isHandledByRoute = url.pathname.startsWith('/api/v1/creative-agent') || + url.pathname.startsWith('/api/v1/get_upload_url') || + url.pathname.startsWith('/api/v1/upload-binary'); + + if (url.pathname.startsWith('/api/v1') && !isHandledByRoute) { + const targetUrl = new URL(url.pathname + url.search, 'https://api.muapi.ai'); + const rewriteResponse = NextResponse.rewrite(targetUrl); + return addSecurityHeaders(rewriteResponse); + } + } + + // Add security headers to all responses + return addSecurityHeaders(NextResponse.next()); +} + +// Match all paths for security headers. Exclude Next.js internal paths. +export const config = { + matcher: [ + '/api/:path*', + '/((?!_next/static|_next/image|favicon.ico|__nextjs_original-stack-frame).*)', + ], +}; diff --git a/models_dump.json b/models_dump.json new file mode 100644 index 0000000..15265e4 --- /dev/null +++ b/models_dump.json @@ -0,0 +1,2194 @@ +{ + "t2i": [ + { + "id": "nano-banana", + "name": "Nano Banana", + "inputs": { + "prompt": { + "examples": [ + "A portrait of me in a modern living room. Change it so Iโ€™m dressed in 1950s attire with a polka-dot dress, while maintaining my face and hairstyle." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "3:4", + "4:3", + "9:16", + "16:9", + "3:2", + "2:3", + "5:4", + "4:5", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "google", + "provider_name": "Google" + }, + { + "id": "flux-dev", + "name": "Flux Dev", + "inputs": { + "prompt": { + "examples": [ + "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-dev-lora", + "name": "Flux Dev Lora", + "inputs": { + "prompt": { + "examples": [ + "A female warrior in ornate armor standing on a cliff during sunset, flowing cape, wind blowing through her hair, detailed fantasy art style." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "model_id": { + "examples": [ + { + "model": "civitai:119351@317153", + "weight": 1 + } + ], + "title": "LoRA Ids", + "name": "model_id", + "type": "array", + "items": { + "type": "object", + "properties": { + "model": { + "type": "string", + "format": "url", + "title": "Model ID", + "description": "The Civitai LoRA model ID." + }, + "weight": { + "type": "number", + "title": "Weight", + "description": "A list of LoRA models to use for generation. Each item must include an `id` (e.g., \"civitai:1642876@1864626\") and a `weight` between 0 and 4. You can include up to 4 models. The `id` can be found in the Civitai model URL. These models will be applied with the specified weights by the Flux Dev system during image generation.", + "minValue": 0, + "maxValue": 4, + "step": 0.01, + "default": 1 + } + } + }, + "description": "The unique identifier of a LoRA model hosted on Civitai, used by the Flux Dev image generation system. This ID tells Flux Dev which specific LoRA model to apply during generation. You can find the model ID in the Civitai model URL (e.g., model_id: civitai:1642876@1864626).", + "maxItems": 4 + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64, + "isEdit": true + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64, + "isEdit": true + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1, + "isEdit": true + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-kontext-dev-t2i", + "name": "Flux Kontext Dev T2I", + "inputs": { + "prompt": { + "examples": [ + "A powerful wizard casting a glowing spell in a dark forest, wearing a hooded robe, with swirling magical energy, epic fantasy art." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "3:2", + "2:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1, + "isEdit": true + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "hidream-i1-fast", + "name": "Hidream I1 Fast", + "inputs": { + "prompt": { + "examples": [ + "A colorful cartoon-style cat sitting on a skateboard, wide smile, playful background, 2D flat illustration style." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "hidream", + "provider_name": "Runware" + }, + { + "id": "hidream-i1-dev", + "name": "Hidream I1 Dev", + "inputs": { + "prompt": { + "examples": [ + "A colorful cartoon-style cat sitting on a skateboard, wide smile, playful background, 2D flat illustration style." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "hidream", + "provider_name": "Runware" + }, + { + "id": "hidream-i1-full", + "name": "Hidream I1 Full", + "inputs": { + "prompt": { + "examples": [ + "A majestic elven queen standing in a glowing forest, wearing intricate golden armor with emerald details, sunlight rays filtering through the trees, ultra-detailed fantasy concept art." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "hidream", + "provider_name": "Runware" + }, + { + "id": "ai-anime-generator", + "name": "Ai Anime Generator", + "inputs": { + "prompt": { + "examples": [ + "A cheerful anime girl with short pink hair and green eyes, wearing a school uniform, standing under cherry blossom trees, soft lighting, anime style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1, + "isEdit": true + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1, + "isEdit": true + } + }, + "provider": "muapi", + "provider_name": "Wavespeed" + }, + { + "id": "wan2.1-text-to-image", + "name": "Wan2.1 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A young woman with freckles and natural makeup, standing in soft sunlight, sharp focus, DSLR photo style, ultra-realistic skin texture." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "flux-kontext-pro-t2i", + "name": "Flux Kontext Pro T2I", + "inputs": { + "prompt": { + "examples": [ + "A steampunk owl with mechanical wings, perched on a glowing gear, cinematic lighting." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "21:9", + "16:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-kontext-max-t2i", + "name": "Flux Kontext Max T2I", + "inputs": { + "prompt": { + "examples": [ + "A realistic portrait of a woman with curly hair, wearing a silk blouse, studio lighting, high detail." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "21:9", + "16:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "gpt4o-text-to-image", + "name": "Gpt4o Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A diagram of the solar system with labeled planets, cartoon style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "enum": [ + 1, + 2, + 4 + ], + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1 + } + }, + "provider": "openai", + "provider_name": "OpenAI" + }, + { + "id": "midjourney-v7-text-to-image", + "name": "Midjourney v7 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A sprawling futuristic city at dusk, illuminated with vibrant neon signs, layered skyscrapers, elevated highways with flying cars, warm atmospheric glow, ultra-detailed sci-fi architecture, cinematic composition โ€” digital art, high contrast, 8K" + ], + "description": "The prompt to generate the image", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "speed": { + "enum": [ + "relaxed", + "fast", + "turbo" + ], + "title": "Speed", + "name": "speed", + "type": "string", + "description": "The speed of which corresponds to different speed of Midjourney", + "default": "relaxed" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "3:4", + "4:3", + "1:2", + "2:1", + "2:3", + "3:2", + "5:6", + "6:5" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "variety": { + "title": "Variety", + "name": "variety", + "type": "int", + "description": "Controls the diversity of generated images. Increment by 5 each time. Higher values create more diverse results. Lower values create more consistent results.", + "default": 5, + "minValue": 0, + "maxValue": 100, + "step": 5 + }, + "stylization": { + "title": "Stylization", + "name": "stylization", + "type": "int", + "description": "Controls the artistic style intensity. Higher values create more stylized results. Lower values create more realistic results.", + "default": 1, + "minValue": 0, + "maxValue": 1000, + "step": 1 + }, + "weirdness": { + "title": "Weirdness", + "name": "weirdness", + "type": "int", + "description": "Controls the creativity and uniqueness. Higher values create more unusual results. Lower values create more conventional results.", + "default": 1, + "minValue": 0, + "maxValue": 3000, + "step": 1 + } + }, + "provider": "midjourney", + "provider_name": "Midjourney" + }, + { + "id": "flux-schnell", + "name": "Flux Schnell", + "inputs": { + "prompt": { + "examples": [ + "A cozy mountain cabin surrounded by pine trees during snowfall, warm light glowing from windows, twilight scene" + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image. The value must be divisible by 64, eg: 128...512, 576, 640...2048.", + "default": 1024, + "minValue": 128, + "maxValue": 2048, + "step": 64 + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "bytedance-seedream-v3", + "name": "Bytedance Seedream v3", + "inputs": { + "prompt": { + "examples": [ + "A magical forest with glowing mushrooms and a crystal river under a starry sky, dreamy and ethereal style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "3:4", + "4:3" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "bytedance", + "provider_name": "ByteDance" + }, + { + "id": "qwen-image", + "name": "Qwen Image", + "inputs": { + "prompt": { + "examples": [ + "A serene Japanese garden in autumn, with red maple leaves falling gently, a small stone bridge over a koi pond, photorealistic detail, soft morning light" + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "21:9", + "9:21", + "3:2", + "2:3" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "16:9" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "flux-pulid", + "name": "Flux Pulid", + "inputs": { + "prompt": { + "examples": [ + "Recreate the same person in a Renaissance-style painting with ornate collar and soft candlelight ambiance." + ], + "description": "Text prompt describing the image (max 1500 characters).", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "image_url": { + "examples": [ + "https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/818590409074/b5aa9200-ed01-43b2-8ed7-091255f3d164.jpg" + ], + "description": "URL of the input image used to generate image.", + "field": "image", + "type": "string", + "title": "Image URL", + "name": "image_url" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "ideogram-v3-t2i", + "name": "Ideogram v3 T2I", + "inputs": { + "prompt": { + "examples": [ + "A retro 80s style poster with the words 'MUAPI APP' glowing in pink and blue neon lights, cyberpunk city skyline in the background, cinematic design, highly detailed." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "render_speed": { + "enum": [ + "Turbo", + "Balanced", + "Quality" + ], + "title": "Render Speed", + "name": "render_speed", + "type": "string", + "description": "The rendering speed to use.", + "default": "Balanced" + }, + "style": { + "enum": [ + "Auto", + "General", + "Realistic", + "Design" + ], + "title": "Style", + "name": "style", + "type": "string", + "description": "The style type to generate with.", + "default": "Auto" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "3:4", + "4:3", + "9:16", + "16:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1, + "isEdit": true + } + }, + "provider": "ideogram", + "provider_name": "Ideogram" + }, + { + "id": "google-imagen4", + "name": "Google Imagen4", + "inputs": { + "prompt": { + "examples": [ + "A grand waterfall cascading down glowing crystal cliffs under a twilight sky, bioluminescent plants illuminating the scene, a lone explorer standing on a cliff edge with a futuristic lantern, cinematic ultra-realism." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1, + "isEdit": true + } + }, + "provider": "google", + "provider_name": "Google" + }, + { + "id": "google-imagen4-fast", + "name": "Google Imagen4 Fast", + "inputs": { + "prompt": { + "examples": [ + "A playful panda astronaut bouncing on the moon, leaving heart-shaped footprints, with a pastel-colored galaxy in the background." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1, + "isEdit": true + } + }, + "provider": "google", + "provider_name": "Google" + }, + { + "id": "google-imagen4-ultra", + "name": "Google Imagen4 Ultra", + "inputs": { + "prompt": { + "examples": [ + "A close-up portrait of an old lighthouse keeper, wrinkled hands holding a brass lantern, stormy sea waves crashing behind, ultra-detailed realism." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "google", + "provider_name": "Google" + }, + { + "id": "sdxl-image", + "name": "Sdxl Image", + "inputs": { + "prompt": { + "examples": [ + "An elven archer standing in a bioluminescent forest at night, glowing foliage, intricate leather armor, dynamic pose, painterly high-detail concept art." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "stability", + "provider_name": "Stability AI" + }, + { + "id": "bytedance-seedream-v4", + "name": "Bytedance Seedream v4", + "inputs": { + "prompt": { + "examples": [ + "A tranquil shoreline at dawn where waves turn into glowing ribbons of light, painting the sky with dreamlike hues of violet and gold. A figure walks along the edge, leaving footsteps that bloom into luminous flowers, symbolizing imagination flowing seamlessly into reality." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "3:4", + "4:3", + "2:3", + "3:2", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1K", + "2K", + "4K" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "Resolution of the output image.", + "default": "4K" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "bytedance", + "provider_name": "ByteDance" + }, + { + "id": "hunyuan-image-2.1", + "name": "Hunyuan Image 2.1", + "inputs": { + "prompt": { + "examples": [ + "A vast ink-wash landscape where misty mountains rise into drifting clouds, rivers flowing like silver threads across valleys. In the distance, a solitary pavilion glows with warm lantern light, blending classical Chinese painting aesthetics with modern cinematic realism." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "hunyuan", + "provider_name": "Hunyuan" + }, + { + "id": "chroma-image", + "name": "Chroma Image", + "inputs": { + "prompt": { + "examples": [ + "A futuristic studio bathed in radiant beams of shifting neon colors โ€” cyan, magenta, amber, and emerald โ€” that blend into surreal gradients across walls and objects. A crystal-like prism floats at the center, splitting light into vibrant chromatic waves that ripple outward, painting the scene in glowing, ever-changing hues." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "stability", + "provider_name": "Stability AI" + }, + { + "id": "flux-redux", + "name": "Flux Redux", + "inputs": { + "prompt": { + "examples": [ + "Reimagine the forest cabin as a mystical fantasy retreat at twilight, glowing lanterns hanging from the trees, magical fireflies in the air, cinematic atmosphere with enchanted vibes." + ], + "description": "Text prompt describing the image (max 1500 characters).", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "image_url": { + "examples": [ + "https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/flux-redux-input.jpg" + ], + "description": "URL of the input image used to generate image.", + "field": "image", + "type": "string", + "title": "Image URL", + "name": "image_url" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "3:2", + "2:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-krea-dev", + "name": "Flux Krea Dev", + "inputs": { + "prompt": { + "examples": [ + "Close-up shot of a midnight blue sports car on wet asphalt, city lights reflected in its paint, shallow depth of field, cinematic realism." + ], + "description": "Text prompt describing the image. The length of the prompt must be between 2 and 3000 characters.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "3:2", + "2:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "perfect-pony-xl", + "name": "Perfect Pony Xl", + "inputs": { + "prompt": { + "examples": [ + "A warm, photorealistic portrait of a dappled pony standing in a sunlit stable, dust motes floating in golden light, textured mane, high detail on fur and eyes." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "stability", + "provider_name": "Stability AI" + }, + { + "id": "neta-lumina", + "name": "Neta Lumina", + "inputs": { + "prompt": { + "examples": [ + "A poised young woman with long silver hair and heterochromatic eyes (one blue, one green), wearing a flowing cheongsam with cranes embroidered, standing in a dimly lit grand staircase. Soft ethereal lighting, painterly anime style, rich textures, delicate lace and pearl accessories." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "stability", + "provider_name": "Stability AI" + }, + { + "id": "wan2.5-text-to-image", + "name": "Wan2.5 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A majestic waterfall cascading from towering cliffs into a misty valley, with glowing bioluminescent plants along the riverbanks, a lone explorer standing on a rock, cinematic lighting and ultra-detailed scenery." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 768, + "maxValue": 1440, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1322, + "minValue": 768, + "maxValue": 1440, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "hunyuan-image-3.0", + "name": "Hunyuan Image 3.0", + "inputs": { + "prompt": { + "examples": [ + "A traditional Chinese courtyard with red lanterns hanging from wooden beams, moonlight reflecting from jade floor tiles. In the courtyard, a modern artist sits painting on an easel, neon blue sneakers, graffiti-style mural beginning behind them. Blend of classical aesthetics and modern street art." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "hunyuan", + "provider_name": "Hunyuan" + }, + { + "id": "leonardoai-phoenix-1.0", + "name": "Leonardoai Phoenix 1.0", + "inputs": { + "prompt": { + "examples": [ + "A magical forest at twilight, giant bioluminescent mushrooms illuminating a misty path, a crystal-clear river winding through twisted trees, fireflies dancing, soft ambient glow, ancient stone ruins partially visible, cinematic fantasy lighting, high-detail textures on foliage and moss, ethereal atmosphere, volumetric lighting rays piercing through branches." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "3:4", + "4:3", + "4:5", + "5:4", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "leonardoai", + "provider_name": "Leonardo AI" + }, + { + "id": "leonardoai-lucid-origin", + "name": "Leonardoai Lucid Origin", + "inputs": { + "prompt": { + "examples": [ + "A towering medieval castle perched on a cliff, waterfalls cascading around it, sunrise casting golden light on the stone walls, mist rising from the valley below, flying dragons circling above, realistic clouds and sky reflections, cinematic wide-angle view, ultra-detailed textures on stone and water, epic fantasy atmosphere." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "3:4", + "4:3", + "4:5", + "5:4", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "leonardoai", + "provider_name": "Leonardo AI" + }, + { + "id": "reve-text-to-image", + "name": "Reve Text To Image", + "inputs": { + "prompt": { + "examples": [ + "An astronaut stands in a strange, bioluminescent purple jungle on an alien planet. She slowly reaches out her hand as a graceful creature made of translucent energy curiously approaches, gently touching her glove's fingertip with its tendril. The reflection of the planet's two moons is visible on her helmet's visor. Sense of wonder, photorealistic, cinematic." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "21:9", + "16:9", + "4:3", + "1:1", + "3:4", + "9:16", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + } + }, + "provider": "reve", + "provider_name": "Wavespeed" + }, + { + "id": "grok-imagine-text-to-image", + "name": "Grok Imagine Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A futuristic samurai standing under glowing neon lights in a rainy cyberpunk alley, reflections on wet pavement, dramatic rim lighting, highly detailed armor, cinematic atmosphere, ultra-realistic style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "9:16", + "16:9", + "2:3", + "3:2", + "1:1" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image. Get 6 images each time.", + "default": "1:1" + } + }, + "provider": "grok", + "provider_name": "xAI" + }, + { + "id": "nano-banana-pro", + "name": "Nano Banana Pro", + "inputs": { + "prompt": { + "examples": [ + "A radiant golden banana floating in a futuristic glass chamber, surrounded by swirling particles of light and data streams forming geometric shapes. Electric blue reflections ripple across the surface as energy pulses outward, turning fragments of light into vivid artworks suspended mid-air. Symbolizing playful innovation, AI precision, and evolution of creative power." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "3:4", + "4:3", + "9:16", + "16:9", + "3:2", + "2:3", + "5:4", + "4:5", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1k", + "2k", + "4k" + ], + "description": "The target resolution of the generated image.", + "type": "string", + "title": "Resolution", + "name": "resolution", + "default": "1k" + } + }, + "provider": "google", + "provider_name": "Google" + }, + { + "id": "kling-o1-text-to-image", + "name": "Kling O1 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A towering arcology city at dusk built into a canyon, terraces lit with warm lanterns and bioluminescent gardens cascading down the rock face. Floating trams glide between terraces, mist curls from hidden waterfalls, and a faint green aurora shivers above the canyon rim. Deep orange sunset meets teal dusk, dramatic rim lighting, ultra-detailed architecture, cinematic wide-angle composition, 8k, hyperreal textures." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "2:3", + "3:2", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1k", + "2k" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "The target resolution of the generated image.", + "default": "1k" + }, + "num_images": { + "title": "Number of images", + "name": "num_images", + "type": "int", + "description": "Number of images generated in single request. Each number will charge separately", + "default": 1, + "minValue": 1, + "maxValue": 9, + "step": 1 + } + }, + "provider": "kling", + "provider_name": "Kling AI" + }, + { + "id": "z-image-turbo", + "name": "Z Image Turbo", + "inputs": { + "prompt": { + "examples": [ + "A colossal glass hourglass floating in a dark void, filled not with sand but with glowing galaxies swirling inside. Each galaxy emits colorful nebula clouds that leak through cracks in the glass, forming cosmic streams drifting into the darkness. Bright rim lighting around the hourglass, reflective glass surfaces, deep space background, ultra-detailed sci-fi render, 8k quality, volumetric glow, high contrast." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "flux-2-dev", + "name": "Flux 2 Dev", + "inputs": { + "prompt": { + "examples": [ + "A giant mechanical butterfly made of chrome wings and glowing blue energy veins, hovering above a mirror-smooth lake during twilight. Each wing reflects the sky while emitting soft neon trails. The lake surface ripples lightly from the energy pulses. Mist rolls across the water, and distant mountains fade into a deep violet horizon. Ultra-realistic lighting, cinematic composition, 8k render, high contrast, reflective metal textures." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-2-flex", + "name": "Flux 2 Flex", + "inputs": { + "prompt": { + "examples": [ + "A monumental crystalline arch towering above an endless desert of shifting silver sand, glowing with internal prisms that refract rainbow beams across the dunes. Beneath the arch floats a slowly rotating orb of condensed starlight, casting long ethereal shadows. In the distance, colossal sand whales breach from metallic dunes, their bodies shimmering with mirrored scales. Overhead, a fractured moon illuminates the scene with cold blue radiance. Ultra-detailed fantasyโ€“sci-fi fusion, cinematic wide-angle view, volumetric light rays, 8k clarity, high contrast, dreamlike atmosphere." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1k", + "2k" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "The target resolution of the generated image.", + "default": "1k" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-2-pro", + "name": "Flux 2 Pro", + "inputs": { + "prompt": { + "examples": [ + "A colossal throne forged from intertwining meteor-iron branches, floating above a storm-torn ocean. Each branch pulses with glowing red runes, casting fiery reflections across the churning waves below. Above the throne hovers a massive eclipsed sun, its corona exploding into swirling arcs of molten light. Lightning erupts from the clouds and climbs the metal branches like living serpents. A lone hooded figure stands at the edge of the water, cloak whipping in the wind, illuminated only by the molten eclipse. Ultra-cinematic composition, hyper-detailed textures, 8k resolution, dramatic contrast, dark epic fantasy atmosphere." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1k", + "2k" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "The target resolution of the generated image.", + "default": "1k" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "vidu-q2-text-to-image", + "name": "Vidu Q2 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A colossal floating serpent made of shimmering stardust coils around a broken moon suspended in deep space. Each scale glows with shifting nebula colors, sending ripples of light across the void. Meteor fragments drift slowly around the creature, leaving trails of violet plasma. Beneath the serpent, a crystalline ring structure orbits the shattered moon, reflecting cosmic beams in intricate patterns. The background is a star field swirling into a spiral galaxy, with vibrant energy storms crackling along the horizon. Ultra-cinematic cosmic fantasy, high contrast, 8k detail, volumetric glow, deep space atmosphere." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "2:3", + "3:2", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "resolution": { + "enum": [ + "1k", + "2k", + "4k" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "The target resolution of the generated image.", + "default": "1k" + } + }, + "provider": "vidu", + "provider_name": "Vidu" + }, + { + "id": "bytedance-seedream-v4.5", + "name": "Bytedance Seedream V4.5", + "inputs": { + "prompt": { + "examples": [ + "A massive floating temple forged from translucent sapphire glass hovers above a storm-lit ocean. Crystalline towers refract lightning into rainbow shards that scatter across the waves below. Gigantic chains made of glowing runes suspend the temple in the air as swirling storm clouds coil around it. Beneath the structure, a vortex of shimmering water spirals upward, feeding energy into the floating palace. Distant thunder illuminates the scene with cold blue flashes, casting dramatic shadows across the ocean surface. Ultra-cinematic fantasyโ€“sci-fi fusion, hyper-detailed textures, volumetric lighting, 8k clarity." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "16:9", + "9:16", + "4:3", + "3:4", + "2:3", + "3:2", + "21:9" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "quality": { + "enum": [ + "basic", + "high" + ], + "title": "Quality", + "name": "quality", + "type": "string", + "description": "Quality of the output image.", + "default": "basic" + } + }, + "provider": "bytedance", + "provider_name": "ByteDance" + }, + { + "id": "gpt-image-1.5", + "name": "Gpt Image 1.5", + "inputs": { + "prompt": { + "examples": [ + "A colossal hourglass floating in a silent cosmic void, its upper chamber filled with swirling golden sand that transforms into glowing constellations as it falls. The lower chamber contains a miniature ocean suspended in zero gravity, with waves frozen mid-motion and bioluminescent creatures glowing beneath the surface. Cracks in the glass emit thin beams of white light that bend and refract through drifting stardust. In the background, fragmented planets orbit slowly, partially illuminated by a distant supernova. Ultra-cinematic surreal concept, dramatic contrast between warm gold and deep blue, hyper-detailed textures, volumetric light rays, 8k clarity, dreamlike atmosphere." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "1:1", + "2:3", + "3:2" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "1:1" + }, + "quality": { + "enum": [ + "low", + "medium", + "high" + ], + "title": "Quality", + "name": "quality", + "type": "string", + "description": "The quality of the generated image.", + "default": "medium" + } + }, + "provider": "openai", + "provider_name": "OpenAI" + }, + { + "id": "gpt-image-2", + "name": "Gpt Image 2", + "endpoint": "gpt-image-2-text-to-image", + "family": "gpt-2", + "inputs": { + "prompt": { + "examples": [ + "A photorealistic product photo of a luxury watch resting on a slab of black marble, dramatic cinematic lighting with a soft rim glow, ultra-detailed metallic textures, shallow depth of field, studio quality." + ], + "description": "Text prompt describing the image. Up to 20,000 characters supported.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "auto", + "1:1", + "16:9", + "9:16", + "4:3", + "3:4" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "Aspect ratio of the output image.", + "default": "auto" + }, + "resolution": { + "enum": [ + "1K", + "2K", + "4K" + ], + "title": "Resolution", + "name": "resolution", + "type": "string", + "description": "The target resolution of the generated image.", + "default": "2K" + } + }, + "provider": "openai", + "provider_name": "OpenAI" + }, + { + "id": "wan2.6-text-to-image", + "name": "Wan2.6 Text To Image", + "inputs": { + "prompt": { + "examples": [ + "A colossal floating bridge forged from glowing white stone spans a vast abyss filled with swirling clouds of light. Along the bridge, towering statues carved from ancient marble stand in silent formation, their eyes emitting faint golden beams that illuminate engraved runes beneath their feet. Below the bridge, fragments of ruined cities drift slowly through the mist, catching reflections from the glowing stone above. Overhead, a twilight sky fades from deep blue to soft amber, with distant stars beginning to appear. Cinematic fantasy environment, high contrast lighting, volumetric fog, ultra-detailed textures, epic scale." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "title": "Width", + "name": "width", + "type": "int", + "description": "Width of the output image.", + "default": 1024, + "minValue": 768, + "maxValue": 1440, + "step": 1 + }, + "height": { + "title": "Height", + "name": "height", + "type": "int", + "description": "Height of the output image.", + "default": 1024, + "minValue": 768, + "maxValue": 1440, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "qwen-text-to-image-2512", + "name": "Qwen Text To Image 2512", + "inputs": { + "prompt": { + "examples": [ + "A colossal biomechanical whale swimming slowly through a vast sky made of soft clouds and fractured light. Its translucent body reveals glowing internal organs shaped like rotating gears and flowing energy veins. Below it, a sprawling patchwork of farmland and rivers curves with the planetโ€™s surface, catching reflections from the whaleโ€™s luminous glow. Long fabric banners trail from the whaleโ€™s fins, fluttering gently in the wind like ceremonial streamers. The camera angle is wide and aerial, emphasizing scale and serenity. Soft sunrise colors, cinematic depth, ultra-detailed surreal sci-fi atmosphere." + ], + "description": "Text prompt describing the image, what you want the final edited image to look like.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "width": { + "type": "integer", + "title": "Width", + "name": "width", + "description": "Width of the image in pixels", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + }, + "height": { + "type": "integer", + "title": "Height", + "name": "height", + "description": "Height of the image in pixels", + "default": 1024, + "minValue": 256, + "maxValue": 1536, + "step": 1 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "flux-2-klein-4b", + "name": "Flux 2 Klein 4b", + "inputs": { + "prompt": { + "examples": [ + "A small round robot sitting at a cafรฉ table outdoors, holding a tiny cup of coffee with both hands. The robot has a simple white body, a glowing digital face showing a happy expression, and short stubby legs dangling from the chair. Morning sunlight casts soft shadows on the pavement, potted plants surround the cafรฉ, and steam gently rises from the coffee cup. Clean, minimal, cute, modern illustration style, bright colors, friendly mood." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "3:4", + "4:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "The aspect ratio of the generated image", + "default": "1:1" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "flux-2-klein-9b", + "name": "Flux 2 Klein 9b", + "inputs": { + "prompt": { + "examples": [ + "A cute corgi puppy wearing a tiny yellow raincoat stands on a wet sidewalk after rain. Small puddles reflect the city lights, and the puppy looks up with bright curious eyes while holding a green leaf in its mouth. Soft evening light, shallow depth of field, clean background, warm and cheerful mood, high detail fur texture, realistic yet adorable style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "3:4", + "4:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "The aspect ratio of the generated image", + "default": "1:1" + } + }, + "provider": "blackforest", + "provider_name": "Black Forest Labs" + }, + { + "id": "z-image-base", + "name": "Z Image Base", + "inputs": { + "prompt": { + "examples": [ + "A cozy late-night diner interior with warm yellow lighting, rain tapping against large glass windows, and a lone barista cleaning the counter. A slice of pie sits under a glass dome, steam rises from a fresh cup of coffee, and neon signs outside softly glow and reflect across the wet street. Cinematic realism, shallow depth of field, calm mood, high detail, modern photography style." + ], + "description": "Text prompt describing the image.", + "type": "string", + "title": "Prompt", + "name": "prompt" + }, + "image_url": { + "examples": [ + null + ], + "description": "URL of the input image.", + "field": "image", + "type": "string", + "title": "Image URL", + "name": "image_url" + }, + "aspect_ratio": { + "enum": [ + "16:9", + "9:16", + "1:1", + "3:4", + "4:3", + "21:9", + "9:21" + ], + "title": "Aspect Ratio", + "name": "aspect_ratio", + "type": "string", + "description": "The aspect ratio of the generated image", + "default": "1:1" + }, + "strength": { + "title": "Strength", + "name": "strength", + "type": "int", + "description": "Controls the strength of the transformation. Higher values produce outputs more different from the input image.", + "default": 0.6, + "minValue": 0, + "maxValue": 1, + "step": 0.01 + } + }, + "provider": "alibaba", + "provider_name": "Alibaba" + }, + { + "id": "minimax-image-01", + "name": "MiniMax Image 01", + "inputs": { + "prompt": { + "type": "string", + "title": "Prompt", + "name": "prompt", + "description": "Text prompt describing the image to generate (max 1500 characters).", + "examples": [ + "A serene mountain lake at sunset with golden reflections on the water, surrounded by pine forests and snow-capped peaks, photorealistic, 8k." + ] + }, + "aspect_ratio": { + "type": "string", + "title": "Aspect Ratio", + "name": "aspect_ratio", + "description": "Aspect ratio of the output image.", + "enum": [ + "16:9", + "9:16", + "1:1", + "4:3", + "3:4", + "3:2", + "2:3", + "21:9" + ], + "default": "1:1" + }, + "num_images": { + "type": "int", + "title": "Number of images", + "name": "num_images", + "description": "Number of images to generate in a single request.", + "default": 1, + "minValue": 1, + "maxValue": 4, + "step": 1 + } + }, + "provider": "minimax", + "provider_name": "Minimax" + } + ] +} \ No newline at end of file diff --git a/next.config.mjs b/next.config.mjs new file mode 100644 index 0000000..ee667b0 --- /dev/null +++ b/next.config.mjs @@ -0,0 +1,6 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + transpilePackages: ['studio', 'ai-agent', 'workflow-builder', 'design-agent'], +}; + +export default nextConfig; diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..1a8f33b --- /dev/null +++ b/package-lock.json @@ -0,0 +1,16873 @@ +{ + "name": "open-generative-ai", + "version": "1.0.11", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "open-generative-ai", + "version": "1.0.11", + "workspaces": [ + "packages/studio", + "packages/Vibe-Workflow/packages/workflow-builder", + "packages/Open-Poe-AI/packages/agents", + 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"license": "ISC" + } + } +} diff --git a/packages/studio/package.json b/packages/studio/package.json new file mode 100644 index 0000000..df0cab0 --- /dev/null +++ b/packages/studio/package.json @@ -0,0 +1,43 @@ +{ + "name": "studio", + "version": "1.0.0", + "description": "Open Generative AI studio components for Muapi", + "main": "src/index.js", + "module": "src/index.js", + "files": [ + "src", + "dist" + ], + "scripts": { + "build:css": "tailwindcss -i ./src/tailwind.css -o ./dist/tailwind.css --minify", + "build": "npm run build:css && babel src --out-dir dist --extensions .js,.jsx" + }, + "license": "MIT", + "dependencies": { + "@xyflow/react": "^12.10.2", + "axios": "^1.7.0", + "lucide-react": "^1.8.0", + "react-hot-toast": "^2.4.1", + "react-icons": "^5.0.1", + "react-markdown": "^10.1.0", + "react-syntax-highlighter": "^16.1.1", + "react-toastify": "^11.1.0", + "reactflow": "^11.11.4", + "remark-gfm": "^4.0.1", + "workflow-builder": "file:../Vibe-Workflow/packages/workflow-builder", + "ai-agent": "file:../Open-Poe-AI/packages/agents", + "design-agent": "file:../Open-AI-Design-Agent/packages/design-agent" + }, + "peerDependencies": { + "react": ">=18.0.0", + "react-dom": ">=18.0.0" + }, + "devDependencies": { + "@babel/cli": "^7.28.3", + "@babel/preset-env": "^7.28.5", + "@babel/preset-react": "^7.28.5", + "autoprefixer": "^10.4.14", + "postcss": "^8.4.24", + "tailwindcss": "^3.3.3" + } +} diff --git a/packages/studio/postcss.config.js b/packages/studio/postcss.config.js new file mode 100644 index 0000000..33ad091 --- /dev/null +++ b/packages/studio/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/packages/studio/src/components/AgentStudio.jsx b/packages/studio/src/components/AgentStudio.jsx new file mode 100644 index 0000000..67684eb --- /dev/null +++ b/packages/studio/src/components/AgentStudio.jsx @@ -0,0 +1,295 @@ +"use client"; + +import { useState, useEffect, useCallback } from "react"; +import { useRouter } from "next/navigation"; +import { + getTemplateAgents, + getUserAgents, + getUserConversations, +} from "../muapi.js"; + +// โ”€โ”€โ”€ Helpers โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function timeAgo(dateStr) { + if (!dateStr) return ""; + const utcStr = + dateStr.endsWith("Z") || dateStr.includes("+") ? dateStr : dateStr + "Z"; + const diff = Math.floor((Date.now() - new Date(utcStr)) / 1000); + if (diff < 60) return "just now"; + if (diff < 3600) return `${Math.floor(diff / 60)}m ago`; + if (diff < 86400) return `${Math.floor(diff / 3600)}h ago`; + if (diff < 604800) return `${Math.floor(diff / 86400)}d ago`; + return new Date(utcStr).toLocaleDateString(); +} + +// โ”€โ”€โ”€ Agent Card (grid) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function AgentCard({ agent, onClick, onEdit }) { + return ( +
+
onClick(agent)} + className="absolute inset-0 rounded-xl overflow-hidden border border-white/5 bg-[#0a0a0a] transition-all group-hover:border-[#22d3ee]/30 group-hover:scale-[1.02] shadow-2xl" + > + {agent.icon_url ? ( + {agent.name} + ) : ( +
+ + + +
+ )} +
+
+
+ {agent.category || "AI Assistant"} +
+

+ {agent.name || "Unnamed Agent"} +

+ {agent.owner_username && ( +

+ By {agent.owner_username} +

+ )} +
+
+ + {onEdit && ( + + )} +
+ ); +} + +// โ”€โ”€โ”€ Conversation Card (My Chats) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function ConversationCard({ conv, onClick }) { + const displayTitle = conv.title || "New Chat"; + const agentSlug = conv.agent_slug || conv.agent_id; + return ( +
onClick(agentSlug, conv.id)} + className="group flex flex-col gap-3 bg-white/[0.03] border border-white/5 rounded-xl p-4 hover:border-[#22d3ee]/20 hover:bg-white/5 transition-all cursor-pointer" + > +
+
+ {conv.agent_icon_url ? ( + {conv.agent_name + ) : ( +
+ + + +
+ )} +
+
+

+ {conv.agent_name || "Unknown Agent"} +

+

+ {displayTitle} +

+
+
+
+ {timeAgo(conv.updated_at)} + {conv.message_count != null && {conv.message_count} msgs} +
+
+ ); +} + +// โ”€โ”€โ”€ Main Component โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +const TABS = ["templates", "my-agents", "my-chats"]; + +export default function AgentStudio({ apiKey }) { + const router = useRouter(); + + const [activeMainTab, setActiveMainTab] = useState("templates"); + const [agents, setAgents] = useState([]); + const [conversations, setConversations] = useState([]); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + + // Navigate to the standalone /agents page โ€” AiAgent handles its own routing there + const handleSelectAgent = useCallback( + (agent) => { + const id = agent.agent_id || agent.id; + router.push(`/agents/${id}`); + }, + [router] + ); + + const handleEditAgent = useCallback( + (agent) => { + const id = agent.agent_id || agent.id; + router.push(`/agents/edit/${id}`); + }, + [router] + ); + + const handleCreateAgent = useCallback(() => { + router.push("/agents/create"); + }, [router]); + + const handleOpenConversation = useCallback( + (agentSlug, convId) => { + router.push(`/agents/${agentSlug}/${convId}`); + }, + [router] + ); + + useEffect(() => { + if (!apiKey) return; + let cancelled = false; + + async function load() { + setLoading(true); + setError(null); + setAgents([]); + setConversations([]); + try { + if (activeMainTab === "templates") { + const data = await getTemplateAgents(apiKey); + if (!cancelled) setAgents(data); + } else if (activeMainTab === "my-agents") { + const data = await getUserAgents(apiKey); + if (!cancelled) setAgents(data); + } else if (activeMainTab === "my-chats") { + const data = await getUserConversations(apiKey); + if (!cancelled) setConversations(data); + } + } catch (err) { + console.error("AgentStudio load error:", err); + if (!cancelled) setError(err.message || "Failed to load."); + } finally { + if (!cancelled) setLoading(false); + } + } + + load(); + return () => { cancelled = true; }; + }, [apiKey, activeMainTab]); + + // โ”€โ”€ Render โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + return ( +
+ {/* Header */} +
+
+

+ Agents +

+
+ {TABS.map((tab) => ( + + ))} +
+
+ + +
+ + {/* Content */} +
+ {loading ? ( +
+
+
+ ) : error ? ( +
+ + + + + +

{error}

+ +
+ ) : activeMainTab === "my-chats" ? ( + // โ”€โ”€ My Chats view โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + conversations.length === 0 ? ( +
+ + + +

No chats yet

+ +
+ ) : ( +
+ {conversations.map((conv) => ( + + ))} +
+ ) + ) : ( + // โ”€โ”€ Agents grid (templates / my-agents) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + agents.length === 0 ? ( +
+ + + +

No agents found

+
+ ) : ( +
+ {agents.map((agent) => ( + + ))} +
+ ) + )} +
+
+ ); +} diff --git a/packages/studio/src/components/AiInfluencerStudio.jsx b/packages/studio/src/components/AiInfluencerStudio.jsx new file mode 100644 index 0000000..6821c7f --- /dev/null +++ b/packages/studio/src/components/AiInfluencerStudio.jsx @@ -0,0 +1,746 @@ +"use client"; + +import { useState, useCallback } from "react"; +import { generateImage } from "../muapi.js"; + +const CDN = "https://cdn.muapi.ai/influencer"; + +// โ”€โ”€ Default image generation model โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +const INFLUENCER_MODEL = "nano-banana-pro"; + +const TABS_CONFIG = { + face: { + label: "Face", + subcategories: [ + { + id: "character_type", + label: "Character Type", + options: [ + { id: "human", label: "Human", img: `${CDN}/character_type_human.webp`, promptVal: "human features" }, + { id: "elf", label: "Elf", img: `${CDN}/character_type_elf.webp`, promptVal: "elf with pointed ears" }, + { id: "alien", label: "Alien", img: `${CDN}/character_type_alien.webp`, promptVal: "alien creature" }, + { id: "amphibian", label: "Amphibian",img: `${CDN}/character_type_amphibian.webp`, promptVal: "amphibian humanoid" }, + { id: "reptile", label: "Reptile", img: `${CDN}/character_type_reptile.webp`, promptVal: "reptilian creature" }, + { id: "mantis", label: "Mantis", img: `${CDN}/character_type_mantis.webp`, promptVal: "mantis hybrid character" }, + { id: "bee", label: "Bee", img: `${CDN}/character_type_bee.webp`, promptVal: "bee insect hybrid character" }, + { id: "octopus", label: "Octopus", img: `${CDN}/character_type_octopus.webp`, promptVal: "aquatic octopus hybrid" }, + { id: "crocodile", label: "Crocodile",img: `${CDN}/character_type_crocodile.webp`, promptVal: "crocodile humanoid" }, + { id: "iguana", label: "Iguana", img: `${CDN}/character_type_iguana.webp`, promptVal: "iguana humanoid" }, + { id: "lizard", label: "Lizard", img: `${CDN}/character_type_lizard.webp`, promptVal: "lizard humanoid" }, + { id: "rhinoceros_beetle", label: "Beetle", img: `${CDN}/character_type_rhinoceros_beetle.webp`, promptVal: "rhinoceros beetle humanoid" }, + { id: "ant", label: "Ant", img: `${CDN}/character_type_ant.webp`, promptVal: "ant hybrid character" }, + ], + }, + { + id: "gender", + label: "Gender", + options: [ + { id: "female", label: "Female", img: `${CDN}/gender_female.webp`, promptVal: "female" }, + { id: "male", label: "Male", img: `${CDN}/gender_male.webp`, promptVal: "male" }, + { id: "non_binary", label: "Non-binary", img: `${CDN}/gender_non_binary.webp`, promptVal: "non-binary character" }, + { id: "trans_man", label: "Trans Man", img: `${CDN}/gender_trans_man.webp`, promptVal: "transgender man" }, + { id: "trans_woman", label: "Trans Woman", img: `${CDN}/gender_trans_woman.webp`, promptVal: "transgender woman" }, + ], + }, + { + id: "ethnicity_origin_base", + label: "Ethnicity / Origin", + options: [ + { id: "african", label: "African", img: `${CDN}/ethnicity_origin_base_african.webp`, promptVal: "african heritage" }, + { id: "asian", label: "Asian", img: `${CDN}/ethnicity_origin_base_recreate_in_east_asian_supermodel__korea.webp`, promptVal: "East Asian supermodel, Korean K-Pop Idol phenotype" }, + { id: "european", label: "European", img: `${CDN}/ethnicity_origin_base_scandinavian_supermodel.webp`, promptVal: "Scandinavian Supermodel" }, + { id: "indian", label: "Indian", img: `${CDN}/ethnicity_origin_base_indian.webp`, promptVal: "south asian indian heritage" }, + { id: "middle_eastern", label: "Middle Eastern",img: `${CDN}/ethnicity_origin_base_middle_eastern.webp`, promptVal: "middle eastern heritage" }, + { id: "mixed", label: "Mixed", img: `${CDN}/ethnicity_origin_base_mixed.webp`, promptVal: "multiracial mixed heritage" }, + ], + }, + { + id: "eye_color", + label: "Eye Color", + options: [ + { id: "eye_blue", label: "Blue", img: `${CDN}/eye_color_eye_blue.webp`, promptVal: "striking blue eyes" }, + { id: "eye_brown", label: "Brown", img: `${CDN}/eye_color_eye_brown.webp`, promptVal: "warm brown eyes" }, + { id: "eye_green", label: "Green", img: `${CDN}/eye_color_eye_green.webp`, promptVal: "emerald green eyes" }, + { id: "eye_amber", label: "Amber", img: `${CDN}/eye_color_eye_amber.webp`, promptVal: "amber eyes" }, + { id: "eye_grey", label: "Grey", img: `${CDN}/eye_color_eye_grey.webp`, promptVal: "grey eyes" }, + { id: "eye_red", label: "Red", img: `${CDN}/eye_color_eye_red.webp`, promptVal: "red eyes" }, + { id: "eye_purple", label: "Purple", img: `${CDN}/eye_color_eye_purple.webp`, promptVal: "violet purple eyes" }, + { id: "eye_black", label: "Black", img: `${CDN}/eye_color_eye_black.webp`, promptVal: "black eyes" }, + { id: "eye_deep_brown", label: "Deep Brown", img: `${CDN}/eye_color_eye_deep_brown.webp`, promptVal: "deep dark brown eyes" }, + { id: "eye_white", label: "White", img: `${CDN}/eye_color_eye_white.webp`, promptVal: "white eyes" }, + { id: "eye_black_void", label: "Solid Black", img: `${CDN}/eye_color_eye_black_void.webp`, promptVal: "solid black void eyes" }, + { id: "eye_white_void", label: "Blind / Empty",img: `${CDN}/eye_color_eye_white_void.webp`, promptVal: "blind empty white eyes" }, + ], + }, + { + id: "eyes_type", + label: "Eye Type", + options: [ + { id: "eyes_human", label: "Human", img: `${CDN}/eyes_type_eyes_human.webp`, promptVal: "normal human eyes" }, + { id: "eyes_reptile", label: "Reptile", img: `${CDN}/eyes_type_eyes_reptile.webp`, promptVal: "reptile slit-pupil eyes" }, + { id: "eyes_mechanical", label: "Mechanical",img: `${CDN}/eyes_type_eyes_mechanical.webp`, promptVal: "mechanical cyborg eyes" }, + ], + }, + { + id: "eyes_details", + label: "Eye Features", + options: [ + { id: "eyes_different_colors", label: "Heterochromia", img: `${CDN}/eyes_details_eyes_different_colors.webp`, promptVal: "heterochromia different eye colors" }, + { id: "eyes_blind", label: "Blind Eye", img: `${CDN}/eyes_details_eyes_blind.webp`, promptVal: "one cloudy blind eye" }, + { id: "eyes_scarred", label: "Scarred Eye", img: `${CDN}/eyes_details_eyes_scarred.webp`, promptVal: "scar running across one eye" }, + { id: "eyes_glowing", label: "Glowing Eye", img: `${CDN}/eyes_details_eyes_glowing.webp`, promptVal: "glowing magical eyes" }, + ], + }, + { + id: "mouth", + label: "Mouth & Teeth", + options: [ + { id: "mouth_small", label: "Small Mouth", img: `${CDN}/mouth_mouth_small.webp`, promptVal: "small delicate mouth" }, + { id: "mouth_large", label: "Large Mouth", img: `${CDN}/mouth_mouth_large.webp`, promptVal: "wide expressive mouth" }, + { id: "mouth_no_teeth", label: "No Teeth", img: `${CDN}/mouth_mouth_no_teeth.webp`, promptVal: "no visible teeth" }, + { id: "mouth_different_teeth", label: "Unique Teeth", img: `${CDN}/mouth_mouth_different_teeth.webp`, promptVal: "unusual tooth structure" }, + { id: "mouth_sharp_teeth", label: "Sharp Teeth", img: `${CDN}/mouth_mouth_sharp_teeth.webp`, promptVal: "sharp predatory fangs" }, + { id: "mouth_forked_tongue", label: "Forked Tongue", img: `${CDN}/mouth_mouth_forked_tongue.webp`, promptVal: "reptilian forked tongue" }, + { id: "mouth_two_tongues", label: "Two Tongues", img: `${CDN}/mouth_mouth_two_tongues.webp`, promptVal: "two separate tongues" }, + ], + }, + { + id: "ears", + label: "Ears", + options: [ + { id: "ears_human", label: "Human", img: `${CDN}/ears_ears_human.webp`, promptVal: "normal human ears" }, + { id: "ears_elf", label: "Elf Ears", img: `${CDN}/ears_ears_elf.webp`, promptVal: "pointed elf ears" }, + { id: "ears_no", label: "No Ears", img: `${CDN}/ears_ears_no.webp`, promptVal: "no visible ears" }, + { id: "ears_wings", label: "Wing Ears", img: `${CDN}/ears_ears_wings.webp`, promptVal: "wing ears" }, + ], + }, + { + id: "horns", + label: "Horns", + options: [ + { id: "small_horns", label: "Small Horns", img: `${CDN}/horns_small_horns.webp`, promptVal: "small horns on forehead" }, + { id: "big_horns", label: "Big Horns", img: `${CDN}/horns_big_horns.webp`, promptVal: "large curved horns" }, + { id: "antlers", label: "Antlers", img: `${CDN}/horns_antlers.webp`, promptVal: "deer antlers on head" }, + ], + }, + { + id: "skin_conditions", + label: "Skin Conditions", + options: [ + { id: "condition_vitiligo", label: "Vitiligo", img: `${CDN}/skin_conditions_condition_vitiligo.webp`, promptVal: "vitiligo skin condition" }, + { id: "condition_pigmentation", label: "Pigmentation", img: `${CDN}/skin_conditions_condition_pigmentation.webp`, promptVal: "hyperpigmentation" }, + { id: "condition_freckles", label: "Freckles", img: `${CDN}/skin_conditions_condition_freckles.webp`, promptVal: "freckled skin" }, + { id: "condition_birthmarks", label: "Birthmarks", img: `${CDN}/skin_conditions_condition_birthmarks.webp`, promptVal: "visible birthmarks" }, + { id: "condition_scars", label: "Scars", img: `${CDN}/skin_conditions_condition_scars.webp`, promptVal: "scarred skin" }, + { id: "condition_burns", label: "Burns", img: `${CDN}/skin_conditions_condition_burns.webp`, promptVal: "burn marks on skin" }, + { id: "condition_albinism", label: "Albinism", img: `${CDN}/skin_conditions_condition_albinism.webp`, promptVal: "albinism pale white skin" }, + { id: "condition_cracked", label: "Cracked Skin", img: `${CDN}/skin_conditions_condition_cracked.webp`, promptVal: "cracked dry skin texture" }, + { id: "condition_wrinkled", label: "Wrinkled", img: `${CDN}/skin_conditions_condition_wrinkled.webp`, promptVal: "wrinkled aged skin" }, + ], + }, + ], + }, + body: { + label: "Body", + subcategories: [ + { + id: "face_skin_material", + label: "Face Skin Material", + options: [ + { id: "face_skin_human", label: "Human Skin", img: `${CDN}/face_skin_material_face_skin_human.webp`, promptVal: "smooth human skin" }, + { id: "face_skin_scales", label: "Scales", img: `${CDN}/face_skin_material_face_skin_scales.webp`, promptVal: "shimmering scales" }, + { id: "face_skin_fur", label: "Fur", img: `${CDN}/face_skin_material_face_skin_fur.webp`, promptVal: "soft fur covered face" }, + { id: "face_skin_amphibian", label: "Amphibian", img: `${CDN}/face_skin_material_face_skin_amphibian.webp`, promptVal: "smooth moist amphibian skin" }, + { id: "face_skin_fish", label: "Fish Skin", img: `${CDN}/face_skin_material_face_skin_fish.webp`, promptVal: "iridescent fish scale skin" }, + { id: "face_skin_metallic", label: "Metallic", img: `${CDN}/face_skin_material_face_skin_metallic.webp`, promptVal: "polished metallic skin" }, + ], + }, + { + id: "face_surface_pattern", + label: "Skin Pattern", + options: [ + { id: "face_pattern_solid", label: "Solid", img: `${CDN}/face_surface_pattern_face_pattern_solid.webp`, promptVal: "solid color skin" }, + { id: "face_pattern_stripes", label: "Stripes", img: `${CDN}/face_surface_pattern_face_pattern_stripes.webp`, promptVal: "exotic striped skin pattern" }, + { id: "face_pattern_spots", label: "Spots", img: `${CDN}/face_surface_pattern_face_pattern_spots.webp`, promptVal: "dappled spotted skin" }, + { id: "face_pattern_chess", label: "Chess", img: `${CDN}/face_surface_pattern_face_pattern_chess.webp`, promptVal: "checkerboard skin pattern" }, + { id: "face_pattern_veins", label: "Veins", img: `${CDN}/face_surface_pattern_face_pattern_veins.webp`, promptVal: "translucent skin with neon veins" }, + { id: "face_pattern_gradient", label: "Gradient", img: `${CDN}/face_surface_pattern_face_pattern_gradient.webp`, promptVal: "gradient skin coloring" }, + { id: "face_pattern_giraffe", label: "Giraffe", img: `${CDN}/face_surface_pattern_face_pattern_giraffe.webp`, promptVal: "giraffe print skin markings" }, + ], + }, + { + id: "body_type", + label: "Body Type", + options: [ + { id: "body_slim", label: "Slim", img: `${CDN}/body_type_body_slim.webp`, promptVal: "slim slender physique" }, + { id: "body_lean", label: "Lean", img: `${CDN}/body_type_body_lean.webp`, promptVal: "lean toned physique" }, + { id: "body_athletic", label: "Athletic", img: `${CDN}/body_type_body_athletic.webp`, promptVal: "fit athletic body" }, + { id: "body_muscular", label: "Muscular", img: `${CDN}/body_type_body_muscular.webp`, promptVal: "strong muscular build" }, + { id: "body_curvy", label: "Curvy", img: `${CDN}/body_type_body_curvy.webp`, promptVal: "curvy body type" }, + { id: "body_heavy", label: "Heavy", img: `${CDN}/body_type_body_heavy.webp`, promptVal: "heavy set build" }, + { id: "body_skinny", label: "Skinny", img: `${CDN}/body_type_body_skinny.webp`, promptVal: "very skinny thin build" }, + ], + }, + { + id: "left_arm", + label: "Left Arm", + options: [ + { id: "left_arm_normal", label: "Normal", img: `${CDN}/left_arm_left_arm_normal.webp`, promptVal: "normal left arm" }, + { id: "left_arm_cute", label: "Cute Prosthetic",img: `${CDN}/left_arm_make_left_arm_stylish_pink_prosthetic_wi.webp`, promptVal: "stylish pink prosthetic left arm with cute stickers" }, + { id: "left_arm_robotic", label: "Robotic", img: `${CDN}/left_arm_left_arm_robotic.webp`, promptVal: "robotic left arm" }, + { id: "left_arm_prosthetic", label: "Prosthetic", img: `${CDN}/left_arm_left_arm_prosthetic.webp`, promptVal: "prosthetic left arm" }, + { id: "left_arm_mechanical", label: "Mechanical", img: `${CDN}/left_arm_left_arm_mechanical.webp`, promptVal: "mechanical left arm" }, + { id: "left_arm_none", label: "None", img: `${CDN}/left_arm_left_arm_none.webp`, promptVal: "no left arm" }, + ], + }, + { + id: "right_arm", + label: "Right Arm", + options: [ + { id: "right_arm_normal", label: "Normal", img: `${CDN}/right_arm_right_arm_normal.webp`, promptVal: "normal right arm" }, + { id: "right_arm_cute", label: "Cute Prosthetic",img: `${CDN}/right_arm_make_right_arm_stylish_pink_prosthetic_w.webp`, promptVal: "stylish pink prosthetic right arm with cute stickers" }, + { id: "right_arm_robotic", label: "Robotic", img: `${CDN}/right_arm_right_arm_robotic.webp`, promptVal: "robotic right arm" }, + { id: "right_arm_prosthetic", label: "Prosthetic", img: `${CDN}/right_arm_right_arm_prosthetic.webp`, promptVal: "prosthetic right arm" }, + { id: "right_arm_mechanical", label: "Mechanical", img: `${CDN}/right_arm_right_arm_mechanical.webp`, promptVal: "mechanical right arm" }, + { id: "right_arm_none", label: "None", img: `${CDN}/right_arm_right_arm_none.webp`, promptVal: "no right arm" }, + ], + }, + { + id: "left_leg", + label: "Left Leg", + options: [ + { id: "left_leg_normal", label: "Normal", img: `${CDN}/left_leg_left_leg_normal.webp`, promptVal: "normal left leg" }, + { id: "left_leg_cute", label: "Cute Prosthetic",img: `${CDN}/left_leg_make_left_leg_stylish_pink_prosthetic_wi.webp`, promptVal: "stylish pink prosthetic left leg with cute stickers" }, + { id: "left_leg_robotic", label: "Robotic", img: `${CDN}/left_leg_left_leg_robotic.webp`, promptVal: "robotic left leg" }, + { id: "left_leg_prosthetic", label: "Prosthetic", img: `${CDN}/left_leg_left_leg_prosthetic.webp`, promptVal: "prosthetic left leg" }, + { id: "left_leg_mechanical", label: "Mechanical", img: `${CDN}/left_leg_left_leg_mechanical.webp`, promptVal: "mechanical left leg" }, + { id: "left_leg_none", label: "None", img: `${CDN}/left_leg_left_leg_none.webp`, promptVal: "no left leg" }, + ], + }, + { + id: "right_leg", + label: "Right Leg", + options: [ + { id: "right_leg_normal", label: "Normal", img: `${CDN}/right_leg_right_leg_normal.webp`, promptVal: "normal right leg" }, + { id: "right_leg_cute", label: "Cute Prosthetic",img: `${CDN}/right_leg_make_right_leg_stylish_pink_prosthetic_w.webp`, promptVal: "stylish pink prosthetic right leg with cute stickers" }, + { id: "right_leg_robotic", label: "Robotic", img: `${CDN}/right_leg_right_leg_robotic.webp`, promptVal: "robotic right leg" }, + { id: "right_leg_prosthetic", label: "Prosthetic", img: `${CDN}/right_leg_right_leg_prosthetic.webp`, promptVal: "prosthetic right leg" }, + { id: "right_leg_mechanical", label: "Mechanical", img: `${CDN}/right_leg_right_leg_mechanical.webp`, promptVal: "mechanical right leg" }, + { id: "right_leg_none", label: "None", img: `${CDN}/right_leg_right_leg_none.webp`, promptVal: "no right leg" }, + ], + }, + ], + }, + style: { + label: "Style", + subcategories: [ + { + id: "hair", + label: "Hair / Head Growth", + options: [ + { id: "hair_bald", label: "Bald", img: `${CDN}/hair_hair_bald.webp`, promptVal: "bald head" }, + { id: "hair_short", label: "Short Hair", img: `${CDN}/hair_hair_short.webp`, promptVal: "short hair" }, + { id: "hair_long", label: "Long Hair", img: `${CDN}/hair_hair_long.webp`, promptVal: "long flowing hair" }, + { id: "hair_afro", label: "Afro", img: `${CDN}/hair_hair_afro.webp`, promptVal: "afro hairstyle" }, + { id: "hair_punk", label: "Punk", img: `${CDN}/hair_hair_punk.webp`, promptVal: "punk mohawk hairstyle" }, + { id: "hair_fur", label: "Fur / Mane", img: `${CDN}/hair_hair_fur.webp`, promptVal: "fur mane on head" }, + { id: "hair_tentacles", label: "Tentacles", img: `${CDN}/hair_hair_tentacles.webp`, promptVal: "tentacles as hair" }, + { id: "hair_spines", label: "Spines", img: `${CDN}/hair_hair_spines.webp`, promptVal: "spines as hair" }, + ], + }, + { + id: "accessories", + label: "Accessories & Markings", + options: [ + { id: "accessory_tattoos", label: "Tattoos", img: `${CDN}/accessories_accessory_tattoos.webp`, promptVal: "covered in tattoos" }, + { id: "accessory_piercing", label: "Piercings", img: `${CDN}/accessories_accessory_piercing.webp`, promptVal: "multiple piercings" }, + { id: "accessory_scarification", label: "Scarification", img: `${CDN}/accessories_accessory_scarification.webp`, promptVal: "ritual scarification marks" }, + { id: "accessory_symbols", label: "Symbols / Markings", img: `${CDN}/accessories_accessory_symbols.webp`, promptVal: "symbolic tribal markings" }, + { id: "accessory_cyber", label: "Cyber Markings", img: `${CDN}/accessories_accessory_cyber.webp`, promptVal: "cyberpunk circuit markings" }, + ], + }, + { + id: "rendering_style", + label: "Rendering Style", + options: [ + { id: "style_hyper_realistic", label: "Hyper-Realistic", img: `${CDN}/character_type_human.webp`, promptVal: "hyper-realistic 8k photograph" }, + { id: "style_anime", label: "Anime", img: `${CDN}/character_type_elf.webp`, promptVal: "anime art style" }, + { id: "style_cartoon", label: "Cartoon", img: `${CDN}/character_type_mantis.webp`, promptVal: "cartoon illustration style" }, + { id: "style_2d", label: "2D Illustration", img: `${CDN}/character_type_alien.webp`, promptVal: "2D flat illustration style" }, + ], + }, + ], + }, +}; + +// โ”€โ”€โ”€ SVG Icon Components โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +const ShuffleIcon = () => ( + + + + +); +const BoltIcon = () => ( + + + +); +const CheckIcon = () => ( + + + +); +const DownloadIcon = () => ( + + + +); + +// โ”€โ”€โ”€ Hover Pill โ€” shows label, reveals image on hover โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +function HoverPill({ label, img, onClick }) { + const [hovered, setHovered] = useState(false); + return ( +
setHovered(true)} + onMouseLeave={() => setHovered(false)} + > + {/* Image tooltip */} + {hovered && img && ( +
+
+ {label} +
+
+ )} + {/* Pill */} + +
+ ); +} + +// โ”€โ”€โ”€ Main Component โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ +export default function AiInfluencerStudio({ apiKey, onGenerate, isGenerating: externalIsGenerating }) { + const [activeTab, setActiveTab] = useState("face"); + + const [selectedOptions, setSelectedOptions] = useState(() => { + const init = {}; + Object.values(TABS_CONFIG).forEach((tab) => + tab.subcategories.forEach((sub) => { + if (sub.options?.length > 0) init[sub.id] = sub.options[0].id; + }) + ); + return init; + }); + + const [aspectRatio, setAspectRatio] = useState("3:4"); + const [customPrompt, setCustomPrompt] = useState(""); + const [isGeneratingInternal, setIsGeneratingInternal] = useState(false); + const [currentResult, setCurrentResult] = useState(null); // latest generated image + const [history, setHistory] = useState([]); // all generated images + const [selectedHistoryIdx, setSelectedHistoryIdx] = useState(null); + const [errorMsg, setErrorMsg] = useState(""); + + const isGenerating = externalIsGenerating || isGeneratingInternal; + + // โ”€โ”€ Build prompt from selections โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const buildPrompt = useCallback(() => { + const parts = []; + Object.values(TABS_CONFIG).forEach((tab) => + tab.subcategories.forEach((sub) => { + const opt = sub.options.find((o) => o.id === selectedOptions[sub.id]); + if (opt?.promptVal) parts.push(opt.promptVal); + }) + ); + let prompt = "Ultra-realistic professional portrait photograph of an AI influencer character, 8k resolution, cinematic lighting, sharp detail"; + if (parts.length) prompt += ", " + parts.join(", "); + if (customPrompt.trim()) prompt += ", " + customPrompt.trim(); + return prompt; + }, [selectedOptions, customPrompt]); + + // โ”€โ”€ Option selection โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const handleOptionSelect = (subcatId, optId) => + setSelectedOptions((p) => ({ ...p, [subcatId]: optId })); + + // โ”€โ”€ Shuffle all options randomly โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const handleShuffle = () => { + const next = {}; + Object.values(TABS_CONFIG).forEach((tab) => + tab.subcategories.forEach((sub) => { + if (sub.options?.length > 0) + next[sub.id] = sub.options[Math.floor(Math.random() * sub.options.length)].id; + }) + ); + setSelectedOptions(next); + }; + + // โ”€โ”€ Generate โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const handleGenerate = async () => { + if (isGenerating) return; + setIsGeneratingInternal(true); + setErrorMsg(""); + + const prompt = buildPrompt(); + try { + let res; + if (onGenerate) { + res = await onGenerate({ prompt, aspectRatio, selections: selectedOptions }); + } else { + res = await generateImage(apiKey, { + model: INFLUENCER_MODEL, + prompt, + aspect_ratio: aspectRatio, + }); + } + if (res?.url) { + setCurrentResult(res.url); + setHistory((prev) => [{ url: res.url, ts: Date.now() }, ...prev]); + setSelectedHistoryIdx(0); + } + } catch (err) { + setErrorMsg(err?.message || "Generation failed. Please try again."); + } finally { + setIsGeneratingInternal(false); + } + }; + + // โ”€โ”€ Download helper โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const downloadImg = async (url) => { + try { + const res = await fetch(url); + const blob = await res.blob(); + const a = document.createElement("a"); + a.href = URL.createObjectURL(blob); + a.download = `ai-influencer-${Date.now()}.webp`; + a.click(); + URL.revokeObjectURL(a.href); + } catch { + window.open(url, "_blank"); + } + }; + + // Preview image = selected history or current result + const previewUrl = + selectedHistoryIdx !== null && history[selectedHistoryIdx] + ? history[selectedHistoryIdx].url + : currentResult; + + const arMap = { "3:4": "3/4", "1:1": "1/1", "9:16": "9/16", "16:9": "16/9" }; + + // โ”€โ”€ Collect all selected options as flat list for the pill tags bar โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ + const selectedTags = []; + Object.keys(TABS_CONFIG).forEach((tabKey) => { + TABS_CONFIG[tabKey].subcategories.forEach((sub) => { + const selId = selectedOptions[sub.id]; + const opt = sub.options.find((o) => o.id === selId); + if (opt) selectedTags.push({ subcatId: sub.id, label: opt.label, img: opt.img }); + }); + }); + + const [showAllTags, setShowAllTags] = useState(false); + const TAGS_VISIBLE = 7; // how many pills to show before "show more" + + return ( +
+ + {/* โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• + LEFT โ€” Builder / Options Panel + โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• */} +
+ + {/* Builder header */} +
+ Builder + +
+ + {/* Tab pills */} +
+ {Object.keys(TABS_CONFIG).map((key) => ( + + ))} +
+ + {/* Subcategory options scroll area */} +
+ {TABS_CONFIG[activeTab]?.subcategories?.map((subcat) => ( +
+

+ {subcat.label} +

+
+ {subcat.options?.map((opt) => { + const sel = selectedOptions[subcat.id] === opt.id; + return ( + + ); + })} +
+
+ ))} +
+
+ + {/* โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• + CENTER โ€” Current Character Preview + โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• */} +
+ + {/* Center top bar: aspect ratio + generate */} +
+ {/* Aspect ratio */} +
+ {["3:4", "1:1", "9:16", "16:9"].map((r) => ( + + ))} +
+ +
+ {/* Shuffle */} + + + {/* Generate */} + +
+
+ + {/* Preview area */} +
+
+ {isGenerating ? ( +
+
+

Generating your AI influencerโ€ฆ

+
+ ) : previewUrl ? ( + <> + Generated AI Character + {/* Download overlay button */} + + + ) : ( +
+ + + +

Your AI influencer lives here.

+

Design and build your AI influencer
from scratch

+
+ )} +
+
+ + {/* โ”€โ”€ Selected option pills โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ */} + {selectedTags.length > 0 && ( +
+
+ {(showAllTags ? selectedTags : selectedTags.slice(0, TAGS_VISIBLE)).map((tag) => ( + { + // Jump builder panel to the tab that owns this subcategory + const ownerTab = Object.keys(TABS_CONFIG).find((tk) => + TABS_CONFIG[tk].subcategories.some((s) => s.id === tag.subcatId) + ); + if (ownerTab) setActiveTab(ownerTab); + }} + /> + ))} + {selectedTags.length > TAGS_VISIBLE && ( + + )} +
+
+ )} + + {/* Error */} + {errorMsg && ( +
+ {errorMsg} +
+ )} + + {/* Custom prompt bar at bottom */} +
+ setCustomPrompt(e.target.value)} + placeholder="Add extra detailsโ€ฆ e.g. neon cyberpunk lighting, dramatic shadows" + className="w-full h-9 bg-[#161616] border border-white/[0.07] rounded-xl px-3 text-[12px] text-gray-200 placeholder-gray-600 outline-none focus:border-violet-500/40 transition-colors" + /> +
+
+ + {/* โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• + RIGHT โ€” Generated Characters History Gallery + โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• */} +
+ + {/* Gallery header */} +
+

Generated

+

{history.length} characters

+
+ + {/* Gallery scroll */} +
+ {history.length === 0 ? ( +
+ + + +

Generated characters
appear here

+
+ ) : ( + history.map((item, idx) => ( +
setSelectedHistoryIdx(idx)} + onKeyDown={(e) => e.key === "Enter" && setSelectedHistoryIdx(idx)} + className={`group relative w-full aspect-[3/4] rounded-xl overflow-hidden border transition-all cursor-pointer ${ + selectedHistoryIdx === idx + ? "border-violet-500 ring-1 ring-violet-500/40" + : "border-white/[0.08] hover:border-white/20" + }`} + > + {`Character + {/* Download on hover */} +
+
{ e.stopPropagation(); downloadImg(item.url); }} + onKeyDown={(e) => { if (e.key === "Enter") { e.stopPropagation(); downloadImg(item.url); } }} + className="p-1.5 rounded-lg bg-white/10 backdrop-blur-sm border border-white/20 text-white hover:bg-white/20 transition-all cursor-pointer" + > + +
+
+ {/* Index badge */} +
+ #{history.length - idx} +
+
+ )) + )} +
+
+ +
+ ); +} diff --git a/packages/studio/src/components/AppsStudio.jsx b/packages/studio/src/components/AppsStudio.jsx new file mode 100644 index 0000000..3d2e306 --- /dev/null +++ b/packages/studio/src/components/AppsStudio.jsx @@ -0,0 +1,377 @@ +"use client"; + +import React, { useState, useEffect } from 'react'; +import { + FaUserTie, FaImage, FaMagic, FaVideo, FaFileAlt, + FaBriefcase, FaHome, FaMicrophone, FaHandSparkles, FaBuilding, + FaUserInjured, FaStethoscope, FaCar, FaPaw, FaBalanceScale, FaTruck, FaMapMarkerAlt, + FaGithub, FaExternalLinkAlt, FaDollarSign, FaRocket, FaCreditCard +} from "react-icons/fa"; +import { registerAppInterest, getAppInterests } from '../muapi.js'; +import toast, { Toaster } from 'react-hot-toast'; + +const templateApps = [ + { + name: "AI Headshot Studio", + description: "Launch a headshot SaaS in minutes. Charge $5โ€“$20 per set, keep all profits. Stripe payments & user accounts included.", + icon: FaUserTie, + color: "blue", + repo: "https://github.com/SamurAIGPT/ai-headshot-generator", + hosted: "https://ai-headshot-generator-xi.vercel.app/", + thumbnail: "https://cdn.muapi.ai/apps/d9c39378f60e48098f6b6ce657dc18b5.png", + isTemplate: true + }, + { + name: "Nano Banana Studio", + description: "Your own AI image generation platform, ready to monetize. Add credit packs or subscriptions and start earning from day one.", + icon: FaHandSparkles, + color: "amber", + repo: "https://github.com/SamurAIGPT/nano-banana-generator", + hosted: "https://nano-banana-generator-psi.vercel.app", + thumbnail: "https://cdn.muapi.ai/data/2/874086171651/Screenshot_2026-04-15_103743.png", + isTemplate: true + }, + { + name: "Seedance V2 Studio", + description: "Deploy a premium AI art studio and sell access to users. Full Stripe integration lets you collect revenue immediately after launch.", + icon: FaMagic, + color: "purple", + repo: "https://github.com/SamurAIGPT/seedance-2-generator", + hosted: "https://seedance-2-generator.vercel.app/", + thumbnail: "https://cdn.muapi.ai/apps/4cd1f49d48934d448e7f493f9d5e476e.png", + isTemplate: true + }, + { + name: "AI Clipping Studio", + description: "Launch your own AI-powered video clipping SaaS. Download YouTube videos and extract viral highlights with ease.", + icon: FaVideo, + color: "emerald", + repo: "https://github.com/SamurAIGPT/ai-clipping-generator", + hosted: "https://ai-clipping-generator.vercel.app/", + thumbnail: "https://cdn.muapi.ai/data/2/883345778103/cca8b5bb-25f1-40fe-928e-53dce2c8c928.png", + isTemplate: true + }, + { + name: "EasyVeo Studio", + description: "The complete Veo 3.1 video generation suite. Monetize text-to-video, image-to-video, and reference-to-video workflows with ease.", + icon: FaVideo, + color: "indigo", + repo: "https://github.com/SamurAIGPT/veo4-video-generator", + hosted: "https://veo4-video-generator.vercel.app/", + thumbnail: "https://cdn.muapi.ai/data/2/901343404247/94ac6d86-be4e-4b70-b1e6-96d7e3692604.png", + isTemplate: true + } +]; + +const dummyAppsData = [ + { thumbnail: "https://cdn.muapi.ai/apps/Pet_Product_Studio.jpg", name: "Pet Product Studio", description: "High-end product photography specifically for pet toys and food.", icon: FaPaw, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/Resale_Photo_Enhancer.png", name: "Resale Photo Enhancer", description: "Boost sales by elevating low-quality product photos to studio level.", icon: FaImage, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Recruiter.png", name: "AI Recruiter", description: "Smart candidate screening and interview assistant.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/Talk_to_PDF.png", name: "Talk to PDF", description: "Interactive document chat for deep research and summarization.", icon: FaFileAlt, category: "Productivity" }, + { thumbnail: "https://cdn.muapi.ai/apps/Blogger_CMS.png", name: "Blogger CMS", description: "AI-powered content management for high-velocity SEO blogs.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/Amazon_Product_Studio.webp", name: "Amazon Product Studio", description: "Perfect Amazon-ready product shots with AI backdrops.", icon: FaImage, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Business_Card.webp", name: "AI Business Card", description: "Digital-first business card generator with AI networking.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/MailWise.png", name: "MailWise", description: "Intelligent email drafting and scheduling assistant.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/My_Podcast.webp", name: "My Podcast", description: "Automated podcast editing and show-note generation.", icon: FaMicrophone, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/EZScribe.png", name: "EZScribe", description: "Instant transcription and meeting minute automation.", icon: FaFileAlt, category: "Productivity" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Knowledge_Base.png", name: "AI Knowledge Base", description: "Train an AI on your company data for instant support.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Outbound.webp", name: "AI Outbound", description: "Personalized cold outreach at scale for sales teams.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Royal_Portrait.png", name: "AI Royal Portrait", description: "Transform your photos into 18th-century royal oil paintings.", icon: FaHandSparkles, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_MEME.png", name: "AI MEME", description: "Viral-ready meme generation based on trending topics.", icon: FaMagic, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Real_Estate_Stager.webp", name: "AI Real Estate Stager", description: "Virtually furnish and stage empty homes for sale.", icon: FaHome, category: "Real Estate" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Logo.png", name: "AI Logo", description: "Dynamic brand identity and logo generator.", icon: FaHandSparkles, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/OldPhoto.png", name: "OldPhoto", description: "Restore, colorize, and sharpen vintage family photos.", icon: FaImage, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AITryOn.png", name: "AITryOn", description: "Virtual fitting room for fashion brands and enthusiasts.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Age_Transformation.webp", name: "AI Age Transformation", description: "Visualize yourself at different stages of life with high fidelity.", icon: FaImage, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Professional_Makeup_Generator.webp", name: "AI Professional Makeup Generator", description: "Try on hundreds of makeup looks virtually.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Flash_Cards.webp", name: "AI Flash Cards", description: "Turn any text or PDF into pedagogical flashcards.", icon: FaFileAlt, category: "Education" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Group_Photo.webp", name: "AI Group Photo", description: "Seamlessly combine individual portraits into a group photo.", icon: FaImage, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Tattoo_Try_On.webp", name: "AI Tattoo Try-On", description: "Visualize tattoos on your body before getting inked.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Hair_Style_Simulator.webp", name: "AI Hair Style Simulator", description: "Try on new haircuts and colors with zero commitment.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Kids_to_Adult_Prediction.webp", name: "AI Kids-to-Adult Prediction", description: "Ever wonder what your kid will look like as an adult?", icon: FaImage, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Room_Declutter.webp", name: "AI Room Declutter", description: "Instantly clean up messy room photos for listings.", icon: FaHome, category: "Real Estate" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Fitness_Body_Simulator.webp", name: "AI Fitness Body Simulator", description: "Visualize your fitness goals on your own body.", icon: FaImage, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Pet_Portrait.webp", name: "AI Pet Portrait", description: "Elegant, artistic portraits for your beloved pets.", icon: FaPaw, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Kissing_Video_Generator.webp", name: "AI Kissing Video Generator", description: "Expressive AI video generation for romantic moments.", icon: FaVideo, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/Chat_with_PDF.webp", name: "Chat with PDF", description: "Ask questions and extract data from massive PDF files.", icon: FaFileAlt, category: "Productivity" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Travel_Studio.png", name: "AI Travel Studio", description: "Create stunning travel posters and visuals from prompts.", icon: FaMapMarkerAlt, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/Prompt_Architect.webp", name: "Prompt Architect", description: "Refine and optimize complex prompts for high-tier AI models.", icon: FaMagic, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/ClearMark_AI.webp", name: "ClearMark AI", description: "Automated watermark removal and brand cleanup for assets.", icon: FaImage, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/PlantVision_AI.webp", name: "PlantVision AI", description: "Identify plants and generate gardening care guides.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Wedding_Photo.png", name: "AI Wedding Photo", description: "Cinematic wedding photography enhancements and filters.", icon: FaImage, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/User_Account_Registration_Form.webp", name: "User Account Registration Form", description: "Beautiful, conversion-optimized signup flows.", icon: FaBriefcase, category: "Development" }, + { thumbnail: "https://cdn.muapi.ai/apps/Social_Post.webp", name: "Social Post", description: "AI-generated social media scheduling and copy creator.", icon: FaBriefcase, category: "Marketing" }, + { thumbnail: "https://cdn.muapi.ai/apps/MagicSelf_AI.webp", name: "MagicSelf AI", description: "The ultimate AI selfie and avatar generation engine.", icon: FaMagic, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Resume_Builder.webp", name: "AI Resume Builder", description: "Craft the perfect, ATS-friendly resume in seconds.", icon: FaFileAlt, category: "Productivity" }, + { thumbnail: "https://cdn.muapi.ai/apps/GEO_Checker.webp", name: "GEO Checker", description: "AI-powered location tagging and geodata validation.", icon: FaMapMarkerAlt, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Character_Studio.webp", name: "AI Character Studio", description: "Consistent character design for animators and writers.", icon: FaUserTie, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/Luxury_Hair_Studio.webp", name: "Luxury Hair Studio", description: "High-end hair visualization for top-tier salons.", icon: FaHandSparkles, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/ProFlow_Plumbing.webp", name: "ProFlow Plumbing", description: "AI scheduling and diagnostics for plumbing services.", icon: FaHome, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/Solace_AI.webp", name: "Solace AI", description: "Empathetic AI assistant for mental well-being support.", icon: FaHandSparkles, category: "Health" }, + { thumbnail: "https://cdn.muapi.ai/apps/ReLive_AI.webp", name: "ReLive AI", description: "Immersive memory and historical visualization engine.", icon: FaHandSparkles, category: "Creative" }, + { thumbnail: "https://cdn.muapi.ai/apps/AI_Chiropractic_Service.webp", name: "AI Chiropractic Service", description: "Postural analysis and exercise recommendation AI.", icon: FaUserInjured, category: "Health" }, + { thumbnail: "https://cdn.muapi.ai/apps/Tabla___ReserveAI.webp", name: "Tabla - ReserveAI", description: "Intelligent table reservation engine for restaurants.", icon: FaBuilding, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/Dental_ReserveAI.webp", name: "Dental ReserveAI", description: "Smart dental appointment and follow-up management.", icon: FaStethoscope, category: "Health" }, + { thumbnail: "https://cdn.muapi.ai/apps/CounselMate.webp", name: "CounselMate", description: "Legal research and document drafting aid for lawyers.", icon: FaBalanceScale, category: "Legal" }, + { thumbnail: "https://cdn.muapi.ai/apps/Intelligent_Real_Estate_Agent.webp", name: "Intelligent Real Estate Agent", description: "Automate leads and property matches with AI agents.", icon: FaHome, category: "Real Estate" }, + { thumbnail: "https://cdn.muapi.ai/apps/Fixera.webp", name: "Fixera", description: "Home repair diagnosis and pro-finding ecosystem.", icon: FaHome, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/Velora___Yoga_AI.webp", name: "Velora - Yoga AI", description: "Personalized AI yoga and posture guidance engine.", icon: FaHandSparkles, category: "Health" }, + { thumbnail: "https://cdn.muapi.ai/apps/Nova_AssuranceAI.webp", name: "Nova AssuranceAI", description: "Smart insurance quote and claim processing assistant.", icon: FaBalanceScale, category: "Legal" }, + { thumbnail: "https://cdn.muapi.ai/apps/TurboGlow_Auto_Spa.webp", name: "TurboGlow Auto Spa", description: "AI booking and customization for luxury auto detailing.", icon: FaCar, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/Paws___Pals.webp", name: "Paws & Pals", description: "AI-powered pet care and walking coordination hub.", icon: FaPaw, category: "Lifestyle" }, + { thumbnail: "https://cdn.muapi.ai/apps/Vertex_Tax_Strategy.webp", name: "Vertex Tax Strategy", description: "Intelligent tax planning and deduction spotting AI.", icon: FaBalanceScale, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/LedgerSync.webp", name: "LedgerSync", description: "Automated bookkeeping and financial reconciliations.", icon: FaBriefcase, category: "Business" }, + { thumbnail: "https://cdn.muapi.ai/apps/Nova_Care_Clinic.webp", name: "Nova Care Clinic", description: "Patient scheduling and medical intake automation.", icon: FaStethoscope, category: "Health" }, + { thumbnail: "https://cdn.muapi.ai/apps/Opulent_Drive.webp", name: "Opulent Drive", description: "Luxury car rental and fleet management AI.", icon: FaCar, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/ProFix_Auto.webp", name: "ProFix Auto", description: "Engine diagnostics and preventive maintenance alerts.", icon: FaCar, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/TowMate.webp", name: "TowMate", description: "Smart roadside assistance and dispatch coordination.", icon: FaTruck, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/SwiftLink_Logistics.webp", name: "SwiftLink Logistics", description: "AI route optimization and fleet tracking system.", icon: FaTruck, category: "Services" }, + { thumbnail: "https://cdn.muapi.ai/apps/Lumea_Residence.webp", name: "Lumea Residence", description: "Smart home property management and tenant portal.", icon: FaHome, category: "Real Estate" } +]; + +export default function AppsStudio({ apiKey }) { + const [selectedApp, setSelectedApp] = useState(null); + const [isRequesting, setIsRequesting] = useState(false); + const [requestedApps, setRequestedApps] = useState([]); + + useEffect(() => { + if (apiKey) { + getAppInterests(apiKey) + .then(setRequestedApps) + .catch(err => console.error("Error fetching interests:", err)); + } + }, [apiKey]); + + const handleRequestAccess = async () => { + if (!selectedApp || !apiKey) return; + + setIsRequesting(true); + try { + await registerAppInterest(apiKey, selectedApp.name); + setRequestedApps(prev => [...prev, selectedApp.name]); + toast.success("Got it! We'll send you the template details shortly."); + setTimeout(() => setSelectedApp(null), 1500); + } catch (error) { + console.error(error); + toast.error("Failed to register interest. Please try again later."); + } finally { + setIsRequesting(false); + } + }; + + const renderAppCard = (app, isDummy = false, index = 0) => { + // Premium Vibrant Gradients for placeholders + const gradients = [ + "from-blue-600/20 to-indigo-600/20", + "from-purple-600/20 to-pink-600/20", + "from-amber-500/20 to-orange-600/20", + "from-emerald-500/20 to-teal-600/20", + "from-rose-500/20 to-red-600/20", + "from-cyan-500/20 to-blue-600/20", + ]; + const cardGradient = gradients[index % gradients.length]; + + return ( +
+ {/* Thumbnail Section */} +
+ {app.thumbnail ? ( + {app.name} + ) : ( +
+ +
+ )} +
+
+ + {/* Content Section */} +
+
+
+ +
+
+

{app.name}

+

{app.category || 'Template'}

+
+
+ +

{app.description}

+ + {/* Action Buttons */} +
+ {isDummy ? ( + <> + + + + ) : ( + <> + + + Github + + + + Demo + + + )} +
+
+
+ ); + }; + + return ( +
+ + +
+ + {/* Header Section */} +
+
+ + Revenue-Ready Templates +
+

+ LAUNCH AN AI APP.
START EARNING TODAY. +

+

+ Each template is a fully-functional, Stripe-integrated AI SaaS you can deploy in minutes. + Charge your users, keep the revenue โ€” muapi handles the AI infrastructure. +

+
+ + {/* Monetization Steps */} +
+ {[ + { + icon: FaRocket, + step: "01", + title: "Deploy in Minutes", + body: "Fork the open-source template, add your muapi key, and push to Vercel. No backend setup needed." + }, + { + icon: FaCreditCard, + step: "02", + title: "Collect Payments", + body: "Stripe is pre-wired. Set your own pricing โ€” one-time credits, subscriptions, or pay-per-use." + }, + { + icon: FaDollarSign, + step: "03", + title: "Keep the Revenue", + body: "Payments go straight to your Stripe account. You own the product, the brand, and the profits." + } + ].map(({ icon: Icon, step, title, body }) => ( +
+
+ +
+
+

Step {step}

+

{title}

+

{body}

+
+
+ ))} +
+ + {/* Apps Grid */} +
+ {templateApps.map((app, index) => renderAppCard(app, false, index))} + {dummyAppsData.map((app, index) => renderAppCard(app, true, index + templateApps.length))} +
+ + {/* Footer Accent */} +
+
+ + Muapi Ecosystem โ€” More templates coming soon +
+
+
+ + {/* Get Template Modal */} + {selectedApp && ( +
+
setSelectedApp(null)} /> +
+
+
+ +
+

+ Deploy {selectedApp.name} +

+

+ Enter your details and we'll send you the {selectedApp.name} template along with setup instructions so you can deploy and start earning immediately. +

+
+ +
+ + +
+
+
+ )} + + +
+ ); +} diff --git a/packages/studio/src/components/AudioStudio.jsx b/packages/studio/src/components/AudioStudio.jsx new file mode 100644 index 0000000..4e9f899 --- /dev/null +++ b/packages/studio/src/components/AudioStudio.jsx @@ -0,0 +1,1069 @@ +"use client"; + +import { useState, useEffect, useRef, useCallback } from "react"; +import { generateAudio, uploadFile } from "../muapi.js"; +import { audioModels, getAudioModelById } from "../models.js"; + +// --------------------------------------------------------------------------- +// Upload button states +// --------------------------------------------------------------------------- +const UPLOAD_STATE = { + IDLE: "idle", + UPLOADING: "uploading", + READY: "ready", +}; + +// --------------------------------------------------------------------------- +// SVG Icons +// --------------------------------------------------------------------------- +const PlayIcon = () => ( + + + +); + +const PauseIcon = () => ( + + + +); + +const VolumeIcon = () => ( + + + + + +); + +const VolumeMuteIcon = () => ( + + + + + +); + +const MusicIcon = ({ className = "text-[#22d3ee]" }) => ( + + + + + +); + +const TrashIcon = () => ( + + + + + + +); + +// --------------------------------------------------------------------------- +// Single File Uploader Component +// --------------------------------------------------------------------------- +function AudioFileUploader({ label, value, onChange, apiKey }) { + const [uploadState, setUploadState] = useState(value ? UPLOAD_STATE.READY : UPLOAD_STATE.IDLE); + const [progress, setProgress] = useState(0); + const [fileName, setFileName] = useState(value ? value.split('/').pop().slice(-30) : ""); + const fileInputRef = useRef(null); + + useEffect(() => { + if (!value) { + setUploadState(UPLOAD_STATE.IDLE); + setFileName(""); + setProgress(0); + } else if (uploadState !== UPLOAD_STATE.READY) { + setUploadState(UPLOAD_STATE.READY); + setFileName(value.split('/').pop().slice(-30)); + } + }, [value]); + + const handleUpload = async (e) => { + const file = e.target.files?.[0]; + if (!file) return; + + if (file.size > 20 * 1024 * 1024) { + alert("Audio file exceeds 20MB limit."); + return; + } + + setUploadState(UPLOAD_STATE.UPLOADING); + setProgress(0); + + try { + const url = await uploadFile(apiKey, file, (pct) => { + setProgress(pct); + }); + setFileName(file.name); + setUploadState(UPLOAD_STATE.READY); + onChange(url); + } catch (err) { + setUploadState(UPLOAD_STATE.IDLE); + alert(`Upload failed: ${err.message}`); + } finally { + setProgress(0); + } + }; + + const clearFile = (e) => { + e.stopPropagation(); + onChange(null); + }; + + return ( +
+
+ + {uploadState === UPLOAD_STATE.READY && ( + + )} +
+ +
uploadState === UPLOAD_STATE.IDLE && fileInputRef.current?.click()} + className={`relative border rounded p-4 transition-all duration-300 flex items-center gap-3.5 cursor-pointer ${ + uploadState === UPLOAD_STATE.READY + ? "border-primary/60 bg-primary/10 shadow-[0_0_15px_rgba(34,211,238,0.05)]" + : "border-zinc-700 bg-zinc-900 hover:bg-zinc-850 hover:border-primary/50" + }`} + > + + + {uploadState === UPLOAD_STATE.IDLE && ( + <> +
+ + + +
+
+
Upload audio track
+
MP3, WAV, M4A up to 20MB
+
+ + )} + + {uploadState === UPLOAD_STATE.UPLOADING && ( +
+
+
+ Uploading... + {progress}% +
+
+
+
+
+
+ )} + + {uploadState === UPLOAD_STATE.READY && ( + <> +
+ +
+
+
{fileName}
+
Ready to generate
+
+ + )} +
+
+ ); +} + +// --------------------------------------------------------------------------- +// Multiple File Uploader Component (for array fields like audios_list) +// --------------------------------------------------------------------------- +function AudioListUploader({ label, value = [], onChange, apiKey, maxItems = 2 }) { + const handleItemChange = (index, url) => { + const newItems = [...value]; + if (url) { + newItems[index] = url; + } else { + newItems.splice(index, 1); + } + onChange(newItems.filter(Boolean)); + }; + + return ( +
+ +
+ {Array.from({ length: maxItems }).map((_, i) => ( + handleItemChange(i, url)} + apiKey={apiKey} + /> + ))} +
+
+ ); +} + +// --------------------------------------------------------------------------- +// Premium Custom Audio Player with Waveform Animation +// --------------------------------------------------------------------------- +function PremiumAudioPlayer({ url, title }) { + const [isPlaying, setIsPlaying] = useState(false); + const [currentTime, setCurrentTime] = useState(0); + const [duration, setDuration] = useState(0); + const [volume, setVolume] = useState(1); + const [isMuted, setIsMuted] = useState(false); + const audioRef = useRef(null); + const progressBarRef = useRef(null); + const visualizerIntervalRef = useRef(null); + const [visualizerHeights, setVisualizerHeights] = useState(Array(18).fill(15)); + + // Reset player when URL changes + useEffect(() => { + setIsPlaying(false); + setCurrentTime(0); + setDuration(0); + if (audioRef.current) { + audioRef.current.load(); + } + }, [url]); + + // Audio state event listeners + const onTimeUpdate = () => { + if (audioRef.current) { + setCurrentTime(audioRef.current.currentTime); + } + }; + + const onLoadedMetadata = () => { + if (audioRef.current) { + setDuration(audioRef.current.duration); + } + }; + + const onAudioEnded = () => { + setIsPlaying(false); + setCurrentTime(0); + }; + + // Toggle playback + const togglePlay = () => { + if (!audioRef.current) return; + if (isPlaying) { + audioRef.current.pause(); + setIsPlaying(false); + } else { + audioRef.current.play().then(() => { + setIsPlaying(true); + }).catch(err => { + console.error("Audio playback error:", err); + }); + } + }; + + // Equalizer visualizer effect + useEffect(() => { + if (isPlaying) { + visualizerIntervalRef.current = setInterval(() => { + setVisualizerHeights( + Array(18).fill(0).map(() => Math.floor(Math.random() * 32) + 6) + ); + }, 100); + } else { + if (visualizerIntervalRef.current) { + clearInterval(visualizerIntervalRef.current); + } + setVisualizerHeights(Array(18).fill(12)); + } + return () => { + if (visualizerIntervalRef.current) clearInterval(visualizerIntervalRef.current); + }; + }, [isPlaying]); + + // Volume control + const handleVolumeChange = (e) => { + const val = parseFloat(e.target.value); + setVolume(val); + if (audioRef.current) { + audioRef.current.volume = val; + } + if (val === 0) { + setIsMuted(true); + } else { + setIsMuted(false); + } + }; + + const toggleMute = () => { + if (!audioRef.current) return; + if (isMuted) { + audioRef.current.volume = volume; + setIsMuted(false); + } else { + audioRef.current.volume = 0; + setIsMuted(true); + } + }; + + // Scrubbing + const handleScrub = (e) => { + if (!audioRef.current || duration === 0) return; + const rect = progressBarRef.current.getBoundingClientRect(); + const pos = (e.clientX - rect.left) / rect.width; + const seekTime = Math.min(Math.max(pos * duration, 0), duration); + audioRef.current.currentTime = seekTime; + setCurrentTime(seekTime); + }; + + // Helper formatting time + const formatTime = (time) => { + if (isNaN(time)) return "0:00"; + const minutes = Math.floor(time / 60); + const seconds = Math.floor(time % 60); + return `${minutes}:${seconds < 10 ? "0" : ""}${seconds}`; + }; + + const downloadAudio = async () => { + try { + const response = await fetch(url); + const blob = await response.blob(); + const blobUrl = URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = blobUrl; + a.download = title ? `${title.replace(/\s+/g, '_')}.mp3` : "generated_audio.mp3"; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(blobUrl); + } catch { + window.open(url, "_blank"); + } + }; + + return ( +
+