base_model, base_model_relation, tags, language, license

base_model	base_model_relation	tags	language	license
Wan-AI/Wan2.1-VACE-14B vrgamedevgirl84/Wan14BT2VFusioniX	merge	text-to-video image-to-video video-to-video merge	en	apache-2.0

This is a merge of Wan-AI/Wan2.1-VACE-14B and vrgamedevgirl84/Wan14BT2VFusionX to provide additional VACE compatibility.

The process involved extracting VACE scopes and injecting into the target models. Model weights were converted to specific FP8 formats (E4M3FN and E5M2) using a custom ComfyUI node developed by lum3on, available at the ComfyUI-ModelQuantizer GitHub repository.

Usage

The model files can be used in ComfyUI with the WanVaceToVideo node. Place the required model(s) in the following folders:

Type	Name	Location	Download
Main Model	Wan-14B-T2V-FusionX-VACE	ComfyUI/models/diffusion_models	Safetensors (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

• For more information about the GGUF-quantized versions, refer to QuantStack/Wan-14B-T2V-FusionX-VACE-GGUF, where the quantization process is explained.
• For an overview of Safetensors format, please see the Safetensors.