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https://github.com/vladmandic/automatic
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update changelog
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+3
-2
@@ -11,12 +11,13 @@ Also new is support for **SDXL-Turbo** as well as new **Kandinsky 3** models and
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- allows control of *latent clamping*, *color centering* and *range maximimization*
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- supported by *XYZ grid*
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- **IP adapter**
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- lightweight implementation of T2I adapters which can guide generation towards specific image style
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- lightweight native implementation of T2I adapters which can guide generation towards specific image style
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- supports most T2I models, not limited to SD 1.5
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- models are auto-downloaded on first use
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- for IP adapter support in *Original* backend, use standard *ControlNet* extension
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- **AnimateDiff**
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- lightweight implementation of AnimateDiff basic models *(1.4, 1.5, 1.5.2)*
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- lightweight native implementation of AnimateDiff models:
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*AnimateDiff 1.4, 1.5 v1, 1.5 v2, AnimateFace*
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- supports SD 1.5 only
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- models are auto-downloaded on first use
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- for video saving support, see video support section
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@@ -21,6 +21,7 @@ ADAPTERS = {
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'Motion 1.4': 'guoyww/animatediff-motion-adapter-v1-4',
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'Motion 1.5 v1': 'guoyww/animatediff-motion-adapter-v1-5',
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'Motion 1.5 v2' :'guoyww/animatediff-motion-adapter-v1-5-2',
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# 'Motion SD-XL Beta v1' :'vladmandic/animatediff-sdxl',
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'TemporalDiff': 'vladmandic/temporaldiff',
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'AnimateFace': 'vladmandic/animateface',
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}
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@@ -58,7 +59,7 @@ def set_adapter(adapter_name: str = 'None'):
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shared.sd_model = orig_pipe
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orig_pipe = None
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return
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if shared.sd_model_type != 'sd':
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if shared.sd_model_type != 'sd' and shared.sd_model_type != 'sdxl':
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shared.log.warning(f'AnimateDiff: unsupported model type: {shared.sd_model.__class__.__name__}')
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return
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if motion_adapter is not None and loaded_adapter == adapter_name and shared.sd_model.__class__.__name__ == 'AnimateDiffPipeline':
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