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Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF

Image-to-Video
GGUF
English
text-to-video
video-to-video
quantized
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metadata
base_model:
  - lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill
base_model_relation: quantized
library_name: gguf
tags:
  - text-to-video
  - image-to-video
  - video-to-video
  - quantized
language:
  - en
license: apache-2.0

This is a GGUF conversion of an addon of lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill and Wan-AI/Wan2.1-VACE-14B scopes.

The process involved extracting VACE scopes and injecting into the target models, using scripts provided by wsbagnsv1.

All quantized versions were created from the 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_LightX2V_Step_Cfg_Distill_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