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---
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base_model: Wan-AI/Wan2.1-I2V-14B-720P
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library_name: gguf
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quantized_by: city96
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tags:
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- video
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- video-generation
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license: apache-2.0
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pipeline_tag: image-to-video
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language:
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- en
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- zh
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---
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This is a direct GGUF conversion of [Wan-AI/Wan2.1-I2V-14B-720P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P)
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All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF.
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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 other files required can be downloaded from [this repository by Comfy-Org](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files)
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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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