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license: apache-2.0
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base_model:
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- Wan-AI/Wan2.1-VACE-14B
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Work in progress Seems to work at least the v2v and start end frame part, ill test further though before making the modelcard.
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license: apache-2.0
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library_name: gguf
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base_model:
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- Wan-AI/Wan2.1-VACE-14B
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tags:
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- video
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- video-generation
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pipeline_tag: text-to-video
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This is a direct GGUF conversion of [Wan-AI/Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B)
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All quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request.
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The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node.
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Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.
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The VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors)
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Please refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.
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For conversion I used the conversion scripts from [city96](https://huggingface.co/city96)
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