update changelog

Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-10-26 09:42:16 -04:00
parent 9458392d0a
commit a291987a1e
2 changed files with 170 additions and 153 deletions
+11 -4
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@@ -1,10 +1,11 @@
# Change Log for SD.Next
## Update for 2025-10-25
## Update for 2025-10-26
### Highlights for 2025-10-26
### Details for 2025-10-26
- **Models**
- [Tencent HunyuanImage 2.1](https://huggingface.co/tencent/HunyuanImage-2.1) in *full*, *distilled* and *refiner* variants
HunyuanImage-2.1 is a large (51GB) T2I model capable of natively generating 2K images and uses Qwen2.5 + T5 text-encoders and 32x VAE
- **Reference** networks section is now split into actual *Base* models plus:
- **Quantized**: pre-quantized variants of the base models using SDNQ-SVD quantization for optimal quality and smallest possible resource usage
examples: *FLUX.1-Dev/Krea/Kontext/Schnell, Qwen-Image/Edit/2509, Chroma1-HD, WAN-2.2-A44B, etc.*
@@ -12,6 +13,9 @@
examples: *Turbo, Lightning, Lite, SRPO, Distill, Pruning, etc.*
- **Community**: community highlights
examples: *Tempest, Juggernaut, Illustrious, Pony, NoobAI, etc.*
- **Models**
- [Tencent HunyuanImage 2.1](https://huggingface.co/tencent/HunyuanImage-2.1) in *full*, *distilled* and *refiner* variants
HunyuanImage-2.1 is a large (51GB) T2I model capable of natively generating 2K images and uses Qwen2.5 + T5 text-encoders and 32x VAE
- **Features**
- **offline mode**: enable in *settings -> hugginface*
enables fully offline mode where previously downloaded models can be used as-is
@@ -28,6 +32,8 @@
- enhance `--optional` flag to pre-install optional packages
- add `[lora]` to recognized filename patterns
- add **Apple DepthPro** controlnet processor, thanks @nolbert82
- add **Qwen 3-VL** llm for interrogate and prompt enhance, thanks @CalamitousFelicitousness
this includes *2B, 4B and 8B* variants
- when using **shared-t5** *(default)*, it will load standard or pre-quant depending on model
- **Fixes**
- startup error with `--profile` enabled if using `--skip`
@@ -45,6 +51,7 @@
- installer handle different `opencv` package variants
- fix using pre-quantized shared-t5
- catch `xet` warnings
- validate pipelines on import
## Update for 2025-10-18
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@@ -39,344 +39,354 @@ try:
url='https://huggingface.co/tencent/HunyuanVideo',
vae_remote=True,
repo='hunyuanvideo-community/HunyuanVideo',
repo_cls=diffusers.HunyuanVideoPipeline,
te_cls=transformers.LlamaModel,
dit_cls=diffusers.HunyuanVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'HunyuanVideoPipeline', None),
te_cls=getattr(transformers, 'LlamaModel', None),
dit_cls=getattr(diffusers, 'HunyuanVideoTransformer3DModel', None)),
Model(name='Hunyuan Video I2V', # https://github.com/huggingface/diffusers/pull/10983
url='https://huggingface.co/tencent/HunyuanVideo-I2V',
vae_remote=True,
repo='hunyuanvideo-community/HunyuanVideo-I2V',
repo_cls=diffusers.HunyuanVideoImageToVideoPipeline,
te_cls=transformers.LlavaForConditionalGeneration,
dit_cls=diffusers.HunyuanVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'HunyuanVideoImageToVideoPipeline', None),
te_cls=getattr(transformers, 'LlavaForConditionalGeneration', None),
dit_cls=getattr(diffusers, 'HunyuanVideoTransformer3DModel', None)),
Model(name='SkyReels Hunyuan T2V', # https://github.com/huggingface/diffusers/pull/10837
url='https://huggingface.co/Skywork/SkyReels-V1-Hunyuan-T2V',
vae_remote=True,
repo='hunyuanvideo-community/HunyuanVideo',
repo_cls=diffusers.HunyuanVideoPipeline,
te_cls=transformers.LlamaModel,
repo_cls=getattr(diffusers, 'HunyuanVideoPipeline', None),
te_cls=getattr(transformers, 'LlamaModel', None),
dit='Skywork/SkyReels-V1-Hunyuan-T2V',
dit_folder=None,
dit_cls=diffusers.HunyuanVideoTransformer3DModel),
dit_cls=getattr(diffusers, 'HunyuanVideoTransformer3DModel', None)),
Model(name='SkyReels Hunyuan I2V', # https://github.com/huggingface/diffusers/pull/10837
url='https://huggingface.co/Skywork/SkyReels-V1-Hunyuan-I2V',
vae_remote=True,
repo='hunyuanvideo-community/HunyuanVideo',
repo_cls=diffusers.HunyuanSkyreelsImageToVideoPipeline,
te_cls=transformers.LlamaModel,
repo_cls=getattr(diffusers, 'HunyuanSkyreelsImageToVideoPipeline', None),
te_cls=getattr(transformers, 'LlamaModel', None),
dit='Skywork/SkyReels-V1-Hunyuan-I2V',
dit_folder=None,
dit_cls=diffusers.HunyuanVideoTransformer3DModel),
dit_cls=getattr(diffusers, 'HunyuanVideoTransformer3DModel', None)),
Model(name='Fast Hunyuan T2V', # https://github.com/hao-ai-lab/FastVideo/blob/8a77cf22c9b9e7f931f42bc4b35d21fd91d24e45/fastvideo/models/hunyuan/inference.py#L213
url='https://huggingface.co/FastVideo/FastHunyuan',
vae_remote=True,
repo='hunyuanvideo-community/HunyuanVideo',
repo_cls=diffusers.HunyuanVideoPipeline,
te_cls=transformers.LlamaModel,
repo_cls=getattr(diffusers, 'HunyuanVideoPipeline', None),
te_cls=getattr(transformers, 'LlamaModel', None),
dit='FastVideo/FastHunyuan-diffusers',
dit_cls=diffusers.HunyuanVideoTransformer3DModel),
dit_cls=getattr(diffusers, 'HunyuanVideoTransformer3DModel', None)),
],
'LTX Video': [
Model(name='None'),
Model(name='LTXVideo 0.9.8 13B',
url='https://huggingface.co/Lightricks/LTX-Video-0.9.8-13B-distilled',
repo='Lightricks/LTX-Video-0.9.8-13B-distilled',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.7 13B',
url='https://huggingface.co/Lightricks/LTX-Video-0.9.7-dev',
repo='a-r-r-o-w/LTX-Video-0.9.7-diffusers',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.6 2B T2V',
url='https://huggingface.co/Lightricks/LTX-Video',
repo='Lightricks/LTX-Video',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.6 2B I2V',
url='https://huggingface.co/Lightricks/LTX-Video',
repo='Lightricks/LTX-Video',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.6 2B T2V Distilled',
url='https://huggingface.co/Lightricks/LTX-Video-2B-0.9.6-Distilled-04-25',
repo='Lightricks/LTX-Video-2B-0.9.6-Distilled-04-25',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.6 2B I2V Distilled',
url='https://huggingface.co/Lightricks/LTX-Video-2B-0.9.6-Distilled-04-25',
repo='Lightricks/LTX-Video-2B-0.9.6-Distilled-04-25',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.5 T2V', # https://github.com/huggingface/diffusers/pull/10968
url='https://huggingface.co/Lightricks/LTX-Video-0.9.5',
repo='Lightricks/LTX-Video-0.9.5',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.5 I2V',
url='https://huggingface.co/Lightricks/LTX-Video-0.9.5',
repo='Lightricks/LTX-Video-0.9.5',
repo_cls=diffusers.LTXConditionPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXConditionPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.1 T2V',
url='https://huggingface.co/a-r-r-o-w/LTX-Video-0.9.1-diffusers',
repo='a-r-r-o-w/LTX-Video-0.9.1-diffusers',
repo_cls=diffusers.LTXPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.1 I2V',
url='https://huggingface.co/a-r-r-o-w/LTX-Video-0.9.1-diffusers',
repo='a-r-r-o-w/LTX-Video-0.9.1-diffusers',
repo_cls=diffusers.LTXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.0 T2V',
url='https://huggingface.co/a-r-r-o-w/LTX-Video-diffusers',
repo='a-r-r-o-w/LTX-Video-diffusers',
repo_cls=diffusers.LTXPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
Model(name='LTXVideo 0.9.0 I2V',
url='https://huggingface.co/a-r-r-o-w/LTX-Video-diffusers',
repo='a-r-r-o-w/LTX-Video-diffusers',
repo_cls=diffusers.LTXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LTXVideoTransformer3DModel),
repo_cls=getattr(diffusers, 'LTXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LTXVideoTransformer3DModel', None)),
],
'WAN Video': [
Model(name='None'),
Model(name='WAN 2.2 5B T2V',
url='https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers',
repo='Wan-AI/Wan2.2-TI2V-5B-Diffusers',
repo_cls=diffusers.WanPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.2 5B I2V',
url='https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers',
repo='Wan-AI/Wan2.2-TI2V-5B-Diffusers',
repo_cls=diffusers.WanImageToVideoPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanImageToVideoPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.2 A14B T2V',
url='https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers',
repo='Wan-AI/Wan2.2-T2V-A14B-Diffusers',
repo_cls=diffusers.WanPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel,
repo_cls=getattr(diffusers, 'WanPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None),
dit_folder=("transformer", "transformer_2")),
Model(name='WAN 2.2 A14B I2V',
url='https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers',
repo='Wan-AI/Wan2.2-I2V-A14B-Diffusers',
repo_cls=diffusers.WanImageToVideoPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel,
repo_cls=getattr(diffusers, 'WanImageToVideoPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None),
dit_folder=("transformer", "transformer_2")),
Model(name='WAN 2.2 14B VACE',
url='https://huggingface.co/linoyts/Wan2.2-VACE-Fun-14B-diffusers',
repo='linoyts/Wan2.2-VACE-Fun-14B-diffusers',
repo_cls=diffusers.WanVACEPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanVACETransformer3DModel,
repo_cls=getattr(diffusers, 'WanVACEPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanVACETransformer3DModel', None),
dit_folder=("transformer", "transformer_2")),
Model(name='WAN 2.1 1.3B T2V',
url='https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B-Diffusers',
repo='Wan-AI/Wan2.1-T2V-1.3B-Diffusers',
repo_cls=diffusers.WanPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.1 14B T2V',
url='https://huggingface.co/Wan-AI/Wan2.1-T2V-14B-Diffusers',
repo='Wan-AI/Wan2.1-T2V-14B-Diffusers',
repo_cls=diffusers.WanPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.1 14B I2V 480p',
url='https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P-Diffusers',
repo='Wan-AI/Wan2.1-I2V-14B-480P-Diffusers',
repo_cls=diffusers.WanImageToVideoPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanImageToVideoPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.1 14B I2V 720p',
url='https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P-Diffusers',
repo='Wan-AI/Wan2.1-I2V-14B-720P-Diffusers',
repo_cls=diffusers.WanImageToVideoPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanImageToVideoPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.1 14B FLF2V 720p',
url='https://huggingface.co/Wan-AI/Wan2.1-FLF2V-14B-720P',
repo='Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers',
repo_cls=diffusers.WanImageToVideoPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanTransformer3DModel),
repo_cls=getattr(diffusers, 'WanImageToVideoPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanTransformer3DModel', None)),
Model(name='WAN 2.1 VACE 1.3B',
url='https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B-diffusers',
repo='Wan-AI/Wan2.1-VACE-1.3B-diffusers',
repo_cls=diffusers.WanVACEPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanVACETransformer3DModel),
repo_cls=getattr(diffusers, 'WanVACEPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanVACETransformer3DModel', None)),
Model(name='WAN 2.1 VACE 14B',
url='https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers',
repo='Wan-AI/Wan2.1-VACE-14B-diffusers',
repo_cls=diffusers.WanVACEPipeline,
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.WanVACETransformer3DModel),
repo_cls=getattr(diffusers, 'WanVACEPipeline', None),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'WanVACETransformer3DModel', None)),
],
'SkyReels V2': [
Model(name='None'),
Model(name='SkyReels-V2 T2V-DF 1.3B-540P',
url='https://huggingface.co/Skywork/SkyReels-V2-DF-1.3B-540P-Diffusers',
repo='Skywork/SkyReels-V2-DF-1.3B-540P-Diffusers',
repo_cls=diffusers.SkyReelsV2DiffusionForcingPipeline,
repo_cls=getattr(diffusers, 'SkyReelsV2DiffusionForcingPipeline', None),
repo_revision='refs/pr/1',
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.SkyReelsV2Transformer3DModel),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'SkyReelsV2Transformer3DModel', None)),
Model(name='SkyReels-V2 T2V-DF 14B-720P',
url='https://huggingface.co/Skywork/SkyReels-V2-DF-14B-720P-Diffusers',
repo='Skywork/SkyReels-V2-DF-14B-720P-Diffusers',
repo_cls=diffusers.SkyReelsV2DiffusionForcingPipeline,
repo_cls=getattr(diffusers, 'SkyReelsV2DiffusionForcingPipeline', None),
repo_revision='refs/pr/1',
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.SkyReelsV2Transformer3DModel),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'SkyReelsV2Transformer3DModel', None)),
Model(name='SkyReels-V2 I2V-DF 14B-720P',
url='https://huggingface.co/Skywork/SkyReels-V2-DF-14B-720P-Diffusers',
repo='Skywork/SkyReels-V2-DF-14B-720P-Diffusers',
repo_cls=diffusers.SkyReelsV2DiffusionForcingImageToVideoPipeline,
repo_cls=getattr(diffusers, 'SkyReelsV2DiffusionForcingImageToVideoPipeline', None),
repo_revision='refs/pr/1',
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.SkyReelsV2Transformer3DModel),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'SkyReelsV2Transformer3DModel', None)),
Model(name='SkyReels-V2 T2V 14B-720P',
url='https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-720P-Diffusers',
repo='Skywork/SkyReels-V2-T2V-14B-720P-Diffusers',
repo_cls=diffusers.SkyReelsV2Pipeline,
repo_cls=getattr(diffusers, 'SkyReelsV2Pipeline', None),
repo_revision='refs/pr/1',
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.SkyReelsV2Transformer3DModel),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'SkyReelsV2Transformer3DModel', None)),
Model(name='SkyReels-V2 I2V 14B-720P',
url='https://huggingface.co/Skywork/SkyReels-V2-I2V-14B-720P-Diffusers',
repo='Skywork/SkyReels-V2-I2V-14B-720P-Diffusers',
repo_cls=diffusers.SkyReelsV2ImageToVideoPipeline,
repo_cls=getattr(diffusers, 'SkyReelsV2ImageToVideoPipeline', None),
repo_revision='refs/pr/1',
te_cls=transformers.UMT5EncoderModel,
dit_cls=diffusers.SkyReelsV2Transformer3DModel),
te_cls=getattr(transformers, 'UMT5EncoderModel', None),
dit_cls=getattr(diffusers, 'SkyReelsV2Transformer3DModel', None)),
],
'Mochi Video': [
Model(name='None'),
Model(name='Mochi 1 T2V',
url='https://huggingface.co/genmo/mochi-1-preview',
repo='genmo/mochi-1-preview',
repo_cls=diffusers.MochiPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.MochiTransformer3DModel),
repo_cls=getattr(diffusers, 'MochiPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'MochiTransformer3DModel', None)),
],
'Latte Video': [
Model(name='None'),
Model(name='Latte 1 T2V',
url='https://huggingface.co/maxin-cn/Latte-1',
repo='maxin-cn/Latte-1',
repo_cls=diffusers.LattePipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.LatteTransformer3DModel),
repo_cls=getattr(diffusers, 'LattePipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'LatteTransformer3DModel', None)),
],
'Allegro Video': [
Model(name='None'),
Model(name='Allegro T2V',
url='https://huggingface.co/rhymes-ai/Allegro',
repo='rhymes-ai/Allegro',
repo_cls=diffusers.AllegroPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.AllegroTransformer3DModel),
repo_cls=getattr(diffusers, 'AllegroPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'AllegroTransformer3DModel', None)),
],
'Cog Video': [
Model(name='None'),
Model(name='CogVideoX 1.0 2B T2V',
url='https://huggingface.co/THUDM/CogVideoX-2b',
repo='THUDM/CogVideoX-2b',
repo_cls=diffusers.CogVideoXPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='CogVideoX 1.0 5B T2V',
url='https://huggingface.co/THUDM/CogVideoX-5b',
repo='THUDM/CogVideoX-5b',
repo_cls=diffusers.CogVideoXPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='CogVideoX 1.0 5B I2V',
url='https://huggingface.co/THUDM/CogVideoX-5b-I2V',
repo='THUDM/CogVideoX-5b-I2V',
repo_cls=diffusers.CogVideoXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='CogVideoX 1.5 5B T2V',
url='https://huggingface.co/THUDM/CogVideoX1.5-5B',
repo='THUDM/CogVideoX1.5-5B',
repo_cls=diffusers.CogVideoXPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='CogVideoX 1.5 5B I2V',
url='https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V',
repo='THUDM/CogVideoX1.5-5B-I2V',
repo_cls=diffusers.CogVideoXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='Index Anisora 1.0 5B I2V',
url='https://huggingface.co/Disty0/Index-anisora-5B-diffusers',
repo='Disty0/Index-anisora-5B-diffusers',
repo_cls=diffusers.CogVideoXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
Model(name='Index Anisora 1.0 5B RL I2V',
url='https://huggingface.co/Disty0/Index-anisora-5B_RL-diffusers',
repo='Disty0/Index-anisora-5B_RL-diffusers',
repo_cls=diffusers.CogVideoXImageToVideoPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CogVideoXTransformer3DModel),
repo_cls=getattr(diffusers, 'CogVideoXImageToVideoPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CogVideoXTransformer3DModel', None)),
],
'nVidia Cosmos': [
Model(name='nvidia Cosmos Predict2 2B I2V',
url='https://huggingface.co/nvidia/Cosmos-Predict2-2B-Text2Image',
repo='nvidia/Cosmos-Predict2-2B-Video2World',
repo_cls=diffusers.Cosmos2VideoToWorldPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CosmosTransformer3DModel),
repo_cls=getattr(diffusers, 'Cosmos2VideoToWorldPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CosmosTransformer3DModel', None)),
Model(name='nvidia Cosmos Predict2 2B I2V',
url='https://huggingface.co/nvidia/Cosmos-Predict2-2B-Text2Image',
repo='nvidia/Cosmos-Predict2-2B-Video2World',
repo_cls=diffusers.Cosmos2VideoToWorldPipeline,
te_cls=transformers.T5EncoderModel,
dit_cls=diffusers.CosmosTransformer3DModel),
repo_cls=getattr(diffusers, 'Cosmos2VideoToWorldPipeline', None),
te_cls=getattr(transformers, 'T5EncoderModel', None),
dit_cls=getattr(diffusers, 'CosmosTransformer3DModel', None)),
],
'Kandinsky': [
Model(name='Kandinsky 5.0 Lite SFT T2V',
url='https://huggingface.co/ai-forever/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers',
repo='ai-forever/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers',
repo_cls=diffusers.Kandinsky5T2VPipeline,
te_cls=transformers.Qwen2_5_VLForConditionalGeneration,
dit_cls=diffusers.Kandinsky5Transformer3DModel),
repo_cls=getattr(diffusers, 'Kandinsky5T2VPipeline', None),
te_cls=getattr(transformers, 'Qwen2_5_VLForConditionalGeneration', None),
dit_cls=getattr(diffusers, 'Kandinsky5Transformer3DModel', None)),
Model(name='Kandinsky 5.0 Lite CFG-distilled T2V',
url='https://huggingface.co/ai-forever/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers',
repo='ai-forever/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers',
repo_cls=diffusers.Kandinsky5T2VPipeline,
te_cls=transformers.Qwen2_5_VLForConditionalGeneration,
dit_cls=diffusers.Kandinsky5Transformer3DModel),
repo_cls=getattr(diffusers, 'Kandinsky5T2VPipeline', None),
te_cls=getattr(transformers, 'Qwen2_5_VLForConditionalGeneration', None),
dit_cls=getattr(diffusers, 'Kandinsky5Transformer3DModel', None)),
Model(name='Kandinsky 5.0 Lite Steps-distilled T2V',
url='https://huggingface.co/ai-forever/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers',
repo='ai-forever/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers',
repo_cls=diffusers.Kandinsky5T2VPipeline,
te_cls=transformers.Qwen2_5_VLForConditionalGeneration,
dit_cls=diffusers.Kandinsky5Transformer3DModel),
repo_cls=getattr(diffusers, 'Kandinsky5T2VPipeline', None),
te_cls=getattr(transformers, 'Qwen2_5_VLForConditionalGeneration', None),
dit_cls=getattr(diffusers, 'Kandinsky5Transformer3DModel', None)),
],
}
t1 = time.time()
total = sum([len(models[model]) for model in models.keys()])
log.info(f'Networks: type="video" engines={len(models)} models={total} time={t1 - t0:.2f}')
errors = 0
total = 0
for model in models.values():
for m in model:
if m.name == 'None':
continue
if (m.repo_cls is None) or (m.dit_cls is None) or (m.te_cls is None):
log.error(f'Video: pipeline="{m.name}" not available')
errors += 1
else:
total += 1
log.info(f'Networks: type="video" engines={len(models)} models={total} errors={errors} time={t1 - t0:.2f}')
except Exception as e:
models = {}
log.error(f'Networks: type="video" {e}')