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---
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language:
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- en
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- zh
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license: apache-2.0
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base_model:
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- Wan-AI/Wan2.2-Animate-14B
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library_name: gguf
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pipeline_tag: video-to-video
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---
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The quants work now, example workflow will follow
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This GGUF file is a direct conversion of [Wan-AI/Wan2.2-Animate-14B](https://huggingface.co/Wan-AI/Wan2.2-Animate-14B)
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[**Example workflow**](https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF/resolve/main/example_workflow/wan%20animate%20native.json) (Thanks to verolelb on discord for publishing this workflow ❤)
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Type | Name | Location | Download
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| ------------ | ---------------------------------------------------------- | --------------------------------- | -------------------------
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| Main Model | Wan2.2-Animate-14B | `ComfyUI/models/unet` | GGUF (this repo)
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| Text Encoder | Umt5-xxl | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) |
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| VAE | Wan2.1_VAE.safetensors | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/vae) |
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Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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**Usage**
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The model can be used with the ComfyUI custom node [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) by [city96](https://huggingface.co/city96)
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