40 lines
2.0 KiB
Markdown
40 lines
2.0 KiB
Markdown
# ComfyUI-LivePortrait_v3
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## 🔥 Updates
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ComfyUI nodes for LivePortrait,We support image driven mode and regional control for Comfyui!!!
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Using a simple way to use an image as a driving signal to drive the source image or video!
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## Introduction
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This repo, named Comfyui_Liveportrait_v3, thanks to paper LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.
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We developed a custom_node for Liveportrait_v3 that enables flexible use on Comfyui to drive image-based emoji generation from photos.
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## Getting Started
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### 1. Clone the code and prepare the environment
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```bash
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git clone https://github.com/VangengLab/ComfyUI-LivePortrait_v3.git
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cd ComfyUI-LivePortrait_v3
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```
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For the environment, it can be configured according to Comfyui_liveportrait_v1 and liveportrait. For details, you can refer to https://github.com/KwaiVGI/LivePortrait and https://github.com/kijai/ComfyUI-LivePortraitKJ:https://github.com/KwaiVGI/LivePortrait.
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or refer to my environment and execute the instruction.
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```bash
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pip install -r requirements.txt
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```
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## Download pretrained weights
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The easiest way to download the pretrained weights is from HuggingFace:
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```bash
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cd models/
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huggingface-cli download KwaiVGI/LivePortrait --local-dir Liveportrait_v3 --exclude "*.git*" "README.md" "docs"
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```
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If you cannot access to Huggingface, you can use hf-mirror to download:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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huggingface-cli download KwaiVGI/LivePortrait --local-dir pretrained_weights --exclude "*.git*" "README.md" "docs"
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```
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You can also manually download the model to the folder from the URL: https://huggingface.co/KwaiVGI/LivePortrait/tree/main, and remember put them to models/Liveportrait_v3
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###maybe there will be some problem about locating models,please use the abusolte address,or tell me I will offer you help.my cuda is 12.1 which has less problem.
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