git clone https://github.com/WeChatCV/Stand-In_Preprocessor_ComfyUI
git clone https://github.com/kijai/ComfyUI-WanVideoWrapper
git clone https://github.com/kijai/ComfyUI-KJNodes
git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite
pip install -r Stand-In_Preprocessor_ComfyUI/requirements.txt
pip install -r ComfyUI-WanVideoWrapper/requirements.txt
pip install -r ComfyUI-KJNodes/requirements.txt
pip install -r ComfyUI-VideoHelperSuite/requirements.txt
wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Stand-In/Stand-In_wan2.1_T2V_14B_ver1.0_fp32.safetensors
cp Stand-In_wan2.1_T2V_14B_ver1.0_fp32.safetensors ComfyUI/models/loras/
featurize dataset download c926e468-854b-4b17-aacf-f543d25c748f
unzip wan_loras.zip
cp wan_loras/* ComfyUI/models/loras/
wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1-T2V-14B_fp8_e4m3fn.safetensors
cp Wan2_1-T2V-14B_fp8_e4m3fn.safetensors ComfyUI/models/diffusion_models
wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors
cp umt5-xxl-enc-bf16.safetensors ComfyUI/models/text_encoders/
wget https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors
cp wan_2.1_vae.safetensors ComfyUI/models/vae/
🧩 Only images processed with this official preprocessor can fully unleash the power of Stand-In.
This repository provides a temporary ComfyUI node implementation of the Stand-In preprocessor, aiming to correct the misunderstanding of Stand-In’s preprocessing logic in ComfyUI-WanVideoWrapper.
We strongly recommend using the workflows provided in this repo to ensure proper compatibility and the best identity-preserving performance.
Note: This is a temporary node. Features such as KV cache support and advanced attention mechanisms are not yet implemented. We are actively developing the official full-featured ComfyUI nodes for Stand-In.
Prompt Writing Tip:
If you do not wish to alter the subject's facial features, simply use "a man" or "a woman" without adding extra descriptions of their appearance.
Prompts support both Chinese and English input.
The prompt is intended for generating frontal, medium-to-close-up videos.
Input Image Recommendation:
For best results, use a high-resolution frontal face image.
There are no restrictions on resolution or file extension, as our built-in preprocessing pipeline will handle them automatically.
We are also actively developing a more flexible version of Stand-In.
- 📘 Main Repository: WeChatCV/Stand-In
- 🏠 Project Page: www.stand-in.tech
Clone this repository into the custom_nodes directory of your ComfyUI installation:
git clone https://github.com/WeChatCV/Stand-In_Preprocessor_ComfyUI.git
cd Stand-In_Preprocessor_ComfyUI
pip install -r requirements.txt