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Wan2.1_T2V_14B_FusionX_VACE-GGUF

Image-to-Video
GGUF
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text-to-video
video-to-video
quantized
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metadata
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.

All quantized versions were created from the base FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository.

Usage

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_VACE-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

ComfyUI example workflow

Notes

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

Reference