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lym00/
Wan2.1_T2V_1.3B_SelfForcing_VACE

Name: Wan2.1_T2V_1.3B_SelfForcing_VACE
Availability: InStock

cc-by-nc-sa-4.0

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gdhe17/Self-Forcing & Wan-AI/Wan2.1-VACE-1.3B Scopes Addon Experiment

[!IMPORTANT] ⚠️ Notice:
This project is intended for experimental use only.

CausVid/Self-Forcing is not natively supported in ComfyUI, proper sampling is not implemented.

This is an addon experiment of gdhe17/Self-Forcing and Wan-AI/Wan2.1-VACE-1.3B scopes.

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

The FP16 model weights were then quantized to specific FP8 formats (E4M3FN and E5M2) using ComfyUI custom node ComfyUI-ModelQuantizer by lum3on.

LoRA extraction was done by subtracting and saving the weight differences using the ModelMergeSubtract node and the Extract and Save LoRA node in ComfyUI.

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_1.3B_SelfForcing_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 an overview of Safetensors format, please see the Safetensors format.

lym00/Wan2.1_T2V_1.3B_SelfForcing_VACE

gdhe17/Self-Forcing & Wan-AI/Wan2.1-VACE-1.3B Scopes Addon Experiment

Usage

Notes

Reference

lym00/
Wan2.1_T2V_1.3B_SelfForcing_VACE