35 lines
1.8 KiB
Markdown
35 lines
1.8 KiB
Markdown
# ComfyUI-LivePortrait_v2
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https://github.com/user-attachments/assets/3bc8bb2a-7e2b-4c1f-9f09-55c38a7a86c7
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https://github.com/user-attachments/assets/01ba6af3-9080-4af7-8795-11b8561e78f8
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## 🔥 Updates
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ComfyUI nodes for LivePortrait, We support animal image driven mode and regional control for Comfyui!!!
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We have developed animal expression-driven nodes for ComfyUI that have the same effect as the source code.
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## Introduction
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This repo, named ComfyUI-LivePortrait_v2, thanks to paper LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.
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We developed a custom_node for Liveportrait_v2 that enables flexible use on Comfyui to drive animal image-based emoji generation from videos.
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## Getting Started
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### Clone the code and prepare the environment
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```bash
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git clone https://github.com/VangengLab/ComfyUI-LivePortrait_v2.git
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cd ComfyUI-LivePortrait_v2
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```
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In this node, we need dependencies related to XPose. Specifically, it needs to be configured and prepared according to the instructions on https://github.com/KwaiVGI/LivePortrait. The cuda version is preferably 12.1.
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or you can refer to my environment on https://github.com/VangengLab/Comfyui_Liveportrait_v3/edit/main/README.md
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## Download pretrained weights
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refer to https://github.com/VangengLab/Comfyui_Liveportrait_v3/edit/main/README.md
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this repo will tell you all details about pretrained weights
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## !!!Important reminder
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Since the node we developed is relatively simple and we hope that users can get started quickly, we did not open a video upload window. We need to put the expression video (of a person) that needs to be driven into
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ComfyUI-LivePortrait_v2/assets/examples/driving
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and enter its name in the node. According to the example in the figure, it can be completed.
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