wehub-resource-sync
112 lines
3.0 KiB
Python
112 lines
3.0 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from demo_diffusion.model.base_model import BaseModel
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from demo_diffusion.model.clip import (
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CLIPImageProcessorModel,
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CLIPModel,
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CLIPVisionWithProjModel,
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CLIPWithProjModel,
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SD3_CLIPGModel,
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SD3_CLIPLModel,
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SD3_T5XXLModel,
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get_clip_embedding_dim,
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)
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from demo_diffusion.model.controlnet import SD3ControlNet
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from demo_diffusion.model.diffusion_transformer import (
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CosmosTransformerModel,
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FluxTransformerModel,
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SD3_MMDiTModel,
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SD3TransformerModel,
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WanTransformerModel,
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)
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from demo_diffusion.model.gan import VQGANModel
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from demo_diffusion.model.load import unload_torch_model
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from demo_diffusion.model.lora import FLUXLoraLoader, SDLoraLoader, merge_loras
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from demo_diffusion.model.scheduler import make_scheduler
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from demo_diffusion.model.t5 import T5Model
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from demo_diffusion.model.tokenizer import make_tokenizer
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from demo_diffusion.model.unet import (
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UNet2DConditionControlNetModel,
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UNetCascadeModel,
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UNetModel,
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UNetTemporalModel,
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UNetXLModel,
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UNetXLModelControlNet,
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)
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from demo_diffusion.model.vae import (
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AutoencoderKLWanEncoderModel,
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AutoencoderKLWanModel,
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SD3_VAEDecoderModel,
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SD3_VAEEncoderModel,
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TorchVAEEncoder,
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VAEDecTemporalModel,
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VAEEncoderModel,
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VAEModel,
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)
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__all__ = [
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# base_model
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"BaseModel",
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# clip
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"get_clip_embedding_dim",
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"CLIPModel",
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"CLIPWithProjModel",
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"SD3_CLIPGModel",
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"SD3_CLIPLModel",
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"SD3_T5XXLModel",
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"CLIPVisionWithProjModel",
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"CLIPImageProcessorModel",
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"CosmosTransformerModel",
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# diffusion_transformer
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"SD3_MMDiTModel",
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"FluxTransformerModel",
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"SD3TransformerModel",
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"SD3ControlNet",
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"WanTransformerModel",
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# gan
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"VQGANModel",
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# lora
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"SDLoraLoader",
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"FLUXLoraLoader",
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"merge_loras",
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# scheduler
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"make_scheduler",
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# t5
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"T5Model",
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# tokenizer
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"make_tokenizer",
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# unet
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"UNetModel",
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"UNetXLModel",
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"UNetXLModelControlNet",
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"UNet2DConditionControlNetModel",
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"UNetTemporalModel",
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"UNetCascadeModel",
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# vae
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"VAEModel",
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"SD3_VAEDecoderModel",
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"VAEDecTemporalModel",
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"TorchVAEEncoder",
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"VAEEncoderModel",
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"SD3_VAEEncoderModel",
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"AutoencoderKLWanModel",
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"AutoencoderKLWanEncoderModel",
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# load
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"unload_torch_model",
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]
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