Wan2.1-t2v GGUF

<a target="_blank" rel="ugc" href="https://huggingface.co/city96/Wan2.1-T2V-14B-gguf/tree/main">https://huggingface.co/city96/Wan2.1-T2V-14B-gguf/tree/main</a>This is a direct GGUF conversion of <a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.1-T2V-14B">Wan-AI/Wan2.1-T2V-14B</a>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.The model files can be used with the <a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF">ComfyUI-GGUF</a> custom node.Place model files in <code>ComfyUI/models/unet</code> - see the GitHub readme for further install instructions.The VAE can be downloaded from <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors">this repository by Kijai</a>Please refer to <a target="_blank" rel="ugc" href="https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard">this chart</a> for a basic overview of quantization types.

Files with SHA256: cce46ed3d8e6a96c1c88bab8a70b31b91ab328b86d8235b2a1039c226104d9de