# ComfyUI-WanVideoWrapper

**Repository Path**: rjbian/ComfyUI-WanVideoWrapper

## Basic Information

- **Project Name**: ComfyUI-WanVideoWrapper
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-04
- **Last Updated**: 2025-03-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ComfyUI wrapper nodes for [WanVideo](https://github.com/Wan-Video/Wan2.1)

# WORK IN PROGRESS

# Installation
1. Clone this repo into `custom_nodes` folder.
2. Install dependencies: `pip install -r requirements.txt`
   or if you use the portable install, run this in ComfyUI_windows_portable -folder:

  `python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\requirements.txt`

## Models

https://huggingface.co/Kijai/WanVideo_comfy/tree/main

Text encoders to `ComfyUI/models/text_encoders`

Transformer to `ComfyUI/models/diffusion_models`

Vae to `ComfyUI/models/vae`

You can also use the native ComfyUI text encoding and clip vision loader with the wrapper instead of the original models:

![image](https://github.com/user-attachments/assets/6a2fd9a5-8163-4c93-b362-92ef34dbd3a4)

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Examples:
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TeaCache (temporary WIP naive version, waiting on the official one) I2V:

https://github.com/user-attachments/assets/504a9a50-3337-43d2-97b8-8e1661f29f46


Context window test:

1025 frames using window size of 81 frames, with 16 overlap. With the 1.3B T2V model this used under 5GB VRAM and took 10 minutes to gen on a 5090:

https://github.com/user-attachments/assets/89b393af-cf1b-49ae-aa29-23e57f65911e

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This very first test was 512x512x81

~16GB used with 20/40 blocks offloaded

https://github.com/user-attachments/assets/fa6d0a4f-4a4d-4de5-84a4-877cc37b715f

Vid2vid example:


with 14B T2V model:

https://github.com/user-attachments/assets/ef228b8a-a13a-4327-8a1b-1eb343cf00d8

with 1.3B T2V model

https://github.com/user-attachments/assets/4f35ba84-da7a-4d5b-97ee-9641296f391e