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Wan 2.1 T2V 1.3B SelfForcing VACE

> [!IMPORTANT] > ⚠️ Notice: > This project is intended for experimental use only. > > CausVid/Self-Forcing is not natively supported in ComfyUI, proper sampling is not implemented.

KindUNetVersionWan2.1 T2 V 1.3 B Self Forcing DMD VACE FP16

Model source

Kind
UNet
File size
1.32–4.05 GB
Version
vWan2.1 T2 V 1.3 B Self Forcing DMD VACE FP16
Updated
Oct 14, 2026
Source
Hugging Face

Source description

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:

TypeNameLocationDownload
Main ModelWan2.1_T2V_1.3B_SelfForcing_VACEComfyUI/models/diffusion_modelsSafetensors (this repo)
Text Encoderumt5-xxl-encoderComfyUI/models/text_encodersSafetensors / GGUF
VAEWan2_1_VAE_bf16ComfyUI/models/vaeSafetensors

ComfyUI example workflow

Notes

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

Reference

Sources

1 source
Hugging FacePrimaryVersion 08fc53d472523cbfdccb4769e5f294b3f9b94cc7
huggingface.co/lym00/Wan2.1_T2V_1.3B_SelfForcing_VACE/tree/08fc53d472523cbfdccb4769e5f294b3f9b94cc7

Verified Oct 14

Model artifacts

6 artifacts

Wan2.1_T2V_1.3B_SelfForcing_DMD_VACE-FP16.safetensors

safetensors · 4.05 GB · SHA-256 e8b380a3f939…9a83 · Hugging Face

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Wan2.1_T2V_1.3B_SelfForcing_DMD_VACE-FP8_e4m3fn.safetensors

safetensors · 2.01 GB · SHA-256 0a6eaa49d435…a356 · Hugging Face

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Wan2.1_T2V_1.3B_SelfForcing_DMD_VACE-FP8_e5m2.safetensors

safetensors · 2.01 GB · SHA-256 2c4b9949e18a…f302 · Hugging Face

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Wan2.1_T2V_1.3B_SelfForcing_DMD-FP16.safetensors

safetensors · 2.68 GB · SHA-256 5a9aaf4599b9…0d20 · Hugging Face

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Wan2.1_T2V_1.3B_SelfForcing_DMD-FP8_e4m3fn.safetensors

safetensors · 1.32 GB · SHA-256 3981dd8dba26…86b6 · Hugging Face

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Wan2.1_T2V_1.3B_SelfForcing_DMD-FP8_e5m2.safetensors

safetensors · 1.32 GB · SHA-256 faf5d340ca91…69a9 · Hugging Face

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Source excerpts

2 excerpts

--- license: cc-by-nc-sa-4.0 --- # 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](https://huggingface.co/gdhe17/Self-Forcing) and [Wan-AI/Wan2.1-VACE-1.3B](https://huggingface.co/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](https://huggingface.co/wsbagnsv1). The FP16 model weights were then quantized to specific FP8 formats (E4M3FN and E5M2) using ComfyUI custom node [ComfyUI-ModelQuantizer](https://github.com/lum3on/ComfyUI-ModelQuantizer) by [lum3on](https://github.com/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](https://github.com/comfyanonymous/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](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main) | | VAE | Wan2_1_VAE_bf16 | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors) | [**ComfyUI example workflow**](https://docs.comfy.org/tutorials/video/wan/vace) ### Notes *All original licenses and restrictions from the base models still apply.* ## Reference - For an overview of Safetensors format, please see the [Safetensors format](https://huggingface.co/docs/safetensors/index#format).

Source context: 0 downloads · 71 likes · Repo lym00/Wan2.1_T2V_1.3B_SelfForcing_VACE