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Download README.md from city96/Wan2.1-Fun-14B-InP-gguf: direct link, hf CLI and curl.
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https://huggingface.co/city96/Wan2.1-Fun-14B-InP-gguf/resolve/main/README.md
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915 Bytes
| base_model: alibaba-pai/Wan2.1-Fun-14B-InP | |
| library_name: gguf | |
| quantized_by: city96 | |
| tags: | |
| - text-to-video | |
| - video | |
| - video-generation | |
| license: apache-2.0 | |
| language: | |
| - en | |
| - zh | |
| This is a direct GGUF conversion of [alibaba-pai/Wan2.1-Fun-14B-InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-InP) | |
| The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. | |
| Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions. | |
| The VAE and additional files can be downloaded from [Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files) - they are the same as the base Wan2.1 model. | |
| 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. | |