Wan 2.1 T2V 14B FusionX VACE GGUF

ComfyUI example workflow

Notes

All original licenses and restrictions from the base models still apply.

Reference

• For an overview of quantization types, please see the GGUF quantization types.

--- base_model: - QuantStack/Wan2.1_T2V_14B_FusionX_VACE base_model_relation: quantized library_name: gguf quantized_by: lym00 tags: - text-to-video - image-to-video - video-to-video - quantized language: - en license: apache-2.0 --- This is a GGUF conversion of [QuantStack/Wan2.1_T2V_14B_FusionX_VACE](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE). All quantized versions were created from the base FP16 model using the conversion scripts provided by city96, available at the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF/tree/main/tools) GitHub repository. ## Usage The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the required model(s) in the following folders: | Type | Name | Location | Download | | ------------ | -------------------------------- | ------------------------------ | ---------------- | | Main Model | Wan2.1_T2V_14B_FusionX_VACE-GGUF | `ComfyUI/models/unet` | GGUF (this repo) | | Text Encoder | umt5-xxl-encoder | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) | | VAE | Wan2_1_VAE_bf16 | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) | [**ComfyUI example workflow**](https://docs.comfy.org/tutorials/video/wan/vace) ### Notes *All original licenses and restrictions from the base models still apply.* ## Reference - For an overview of quantization types, please see the [GGUF quantization types](https://huggingface.co/docs/hub/gguf#quantization-types).