Wan2.1_T2V_14B_FusionX_VACE – AI Model by QuantStack | AlphaNeural AI

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Wan2.1_T2V_14B_FusionX_VACE

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Wan-AI/Wan2.1-VACE-14B

vrgamedevgirl84/Wan14BT2VFusioniX

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This is a merge of Wan-AI/Wan2.1-VACE-14B scopes and vrgamedevgirl84/Wan14BT2VFusionX.

The process involved extracting VACE scopes and injecting into the target models.

FP8 model weight was then converted to specific FP8 formats (E4M3FN and E5M2) using ComfyUI custom node ComfyUI-ModelQuantizer by lum3on.

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	Wan2.1_T2V_14B_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/Wan2.1_T2V_14B_FusionX_VACE-GGUF.
For an overview of Safetensors format, please see the Safetensors.