mirror of
https://github.com/vladmandic/automatic
synced 2026-09-20 01:31:13 +02:00
+4
-2
@@ -10,7 +10,7 @@ Highlight are:
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if you have a compatible GPU, performance gains are significant!
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- **Models**:
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a lot of new stuff with **Qwen-Image-Edit** including multi-image edits and distilled variants,
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new **Flux**, **WAN**, **HiDream** variants, expanded **Nunchaku** support and new SOTA upscaler with **SeedVR2**
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new **Flux**, **WAN**, **LTX**, **HiDream** variants, expanded **Nunchaku** support and new SOTA upscaler with **SeedVR2**
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plus improved video support in general, including new methods of video encoding
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- **Quantization**:
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new **SVD**-style quantization using SDNQ offers almost zero-loss even with **4bit** quantization
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@@ -32,7 +32,9 @@ Highlight are:
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note that nunchaku optimized and pre-quantized unet is replacement for base unet, so its only applicable to base models, not any of fine-tunes
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*how to use*: enable nunchaku in settings -> quantization and then load either sdxl-base or sdxl-base-turbo reference models
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- [HiDream E1.1](https://huggingface.co/HiDream-ai/HiDream-E1-1)
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updated version of E1 image editing model
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updated version of HiDream-E1 image editing model
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- [LTXVideo 0.9.8](https://huggingface.co/Lightricks/LTX-Video-0.9.8-13B-distilled)
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updated version of LTXVideo t2v/i2iv model
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- [SeedVR2](https://iceclear.github.io/projects/seedvr/)
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originally designed for video restoration, seedvr works great for image detailing and upscaling!
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available in 3B, 7B and 7B-sharp variants, use as any other upscaler!
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+1
-1
@@ -608,7 +608,7 @@ def check_diffusers():
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if args.skip_git:
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install('diffusers')
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return
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sha = 'a9df12ab451be65060f6f69e201e3a6cb2ee15e8' # diffusers commit hash
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sha = 'f072c64bf22c6a259d38435b19a8ef3eb67c96a8' # diffusers commit hash
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# if args.use_rocm or args.use_zluda or args.use_directml:
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# sha = '043ab2520f6a19fce78e6e060a68dbc947edb9f9' # lock diffusers versions for now
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pkg = pkg_resources.working_set.by_key.get('diffusers', None)
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@@ -74,6 +74,12 @@ models = {
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],
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'LTX Video': [
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Model(name='None'),
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Model(name='LTXVideo 0.9.8 13B',
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url='https://huggingface.co/Lightricks/LTX-Video-0.9.8-13B-distilled',
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repo='Lightricks/LTX-Video-0.9.8-13B-distilled',
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repo_cls=diffusers.LTXConditionPipeline,
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te_cls=transformers.T5EncoderModel,
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dit_cls=diffusers.LTXVideoTransformer3DModel),
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Model(name='LTXVideo 0.9.7 13B',
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url='https://huggingface.co/Lightricks/LTX-Video-0.9.7-dev',
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repo='a-r-r-o-w/LTX-Video-0.9.7-diffusers',
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