chore: import upstream snapshot with attribution
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# provider-fal (fal.ai Image Generation Example)
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You can run this example with:
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```bash
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npx promptfoo@latest init --example provider-fal
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cd provider-fal
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```
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Demonstrates how to evaluate and compare image generation models using promptfoo.
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## Setup
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1. **Get your API key** from [fal.ai dashboard](https://fal.ai/dashboard/keys)
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2. **Set environment variable**:
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```bash
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export FAL_KEY=your-fal-key-here
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```
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3. **Install client**:
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```bash
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npm install @fal-ai/client
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```
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4. **Run the evaluation**:
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```bash
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promptfoo eval
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```
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## What This Example Shows
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- **Model comparison**: Two different fal.ai models side-by-side
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- **Creative prompts**: 7 test cases with artistic styles
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- **Reproducible results**: Fixed seeds for consistent outputs
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- **Configuration options**: Different settings per model
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## Example Output
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The evaluation generates a comparison table showing:
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- Model performance across different prompts
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- Generated images in markdown format
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- Execution time and caching behavior
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## View Results
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```bash
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promptfoo view
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```
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Opens the web interface to browse generated images and compare model outputs.
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## Customize the Example
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Edit `promptfooconfig.yaml` to:
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- Try different models from [fal.ai/models](https://fal.ai/models)
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- Add your own prompts
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- Adjust model parameters
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- Add assertions to test output quality
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- Route SDK requests through a proxy with `config.client.proxyUrl` when your environment requires it
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## Documentation
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- [promptfoo fal provider](https://promptfoo.dev/docs/providers/fal)
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- [fal.ai models](https://fal.ai/models)
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: fal.ai image generation comparison
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prompts:
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- 'Create a {{quality}} image of {{subject}} with {{style}} aesthetic'
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providers:
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- id: fal:image:fal-ai/flux/schnell
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config:
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seed: 42
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num_inference_steps: 4
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guidance_scale: 3.5
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- id: fal:image:fal-ai/flux/dev
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config:
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seed: 42
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num_inference_steps: 28
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guidance_scale: 7.5
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image_size: landscape_4_3
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tests:
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- vars:
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style: Van Gogh painting
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subject: starry night over a cyberpunk city
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mood: dreamy
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quality: highly detailed
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- vars:
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style: Picasso cubist artwork
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subject: robot playing chess
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mood: abstract
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quality: artistic
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- vars:
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style: Monet impressionist painting
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subject: dragon flying over water lilies
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mood: serene
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quality: ethereal
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- vars:
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style: Studio Ghibli animation
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subject: floating castle in the clouds
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mood: whimsical
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quality: cinematic
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- vars:
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style: cyberpunk digital art
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subject: neon-lit street with flying cars
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mood: futuristic
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quality: ultra-realistic
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- vars:
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style: Renaissance masterpiece
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subject: astronaut discovering alien ruins
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mood: majestic
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quality: museum-worthy
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- vars:
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style: Japanese woodblock print
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subject: giant octopus attacking a spaceship
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mood: dramatic
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quality: traditional
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