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QuantStack/Wan2.1_T2V_14B_FusionX-GGUF
Wan2.1_T2V_14B_FusionX-GGUF is a text-to-video model from QuantStack. Use it when you need video from a text prompt. It is set up for gguf. The card lists the license as apache-2.0.
This is a GGUF conversion of Wan14BT2VFusioniXfp16.safetensors by @vrgamedevgirl84.
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From the Hugging Face model README
This is a GGUF conversion of Wan14BT2VFusioniX_fp16_.safetensors by @vrgamedevgirl84.
All quantized versions were created from the base T2V FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository.
The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
| Type | Name | Location | Download |
|---|---|---|---|
| Main Model | Wan2.1_T2V_14B_FusionX-GGUF | ComfyUI/models/unet | GGUF (this repo) |
| Text Encoder | umt5-xxl-encoder | ComfyUI/models/text_encoders | Safetensors / GGUF |
| VAE | Wan2_1_VAE_bf16 | ComfyUI/models/vae | Safetensors |
All original licenses and restrictions from the base models still apply.