batchImg-rembg-ComfyUI-nodes

batchImg-rembg-ComfyUI-nodes
★ 29

批量处理背景移除ComfyUIrembg
对图像序列批量去除背景，基于rembg集成到ComfyUI，提升多图抠图效率，支持GPU加速。
💡 对一组图像在ComfyUI中批量抠图并输出透明背景。
🍴 8 Forks💻 Python🔄 2024-06-14
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https://pan.quark.cn/s/8f9eee5e2cdb
📦 requirements.txt
rembg
tqdm
📄 README

# batchImg-rembg

Rembg(Remove background) of image sequence for ComfyUI



Installation

  • Clone to your custom_nodes folder in ComfyUI:

    • git clone https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes.git

  • Install rembg[gpu] (recommended) or rembg, depending on GPU support, to your ComfyUI virtual environment. E.g.:

    • pip install rembg[gpu]
pip install tqdm

    batchImg-rembg workflows will often make use of these helpful node packs:


  • > ComfyUI-AnimateDiff-Evolved for img2vid.
  • > ComfyUI-VideoHelperSuite for loading videos, combining images into videos.
  • > comfyui_controlnet_aux for preprocessing original images to depth, lineart, openpose images.


    • Workflow

    for example,




    Optional Models(Choose according to your work, downloaded automatically)

    All models are downloaded and saved in the user home folder in the .u2net directory.

    The available models are:

    Rembg Model Name

    | Name | Description | Link |

    |——–|————————————————————————————-|————————————|

    | u2net(default) | A pre-trained model for general use cases. | download, source |

    | u2netp | A lightweight version of u2net model. | download, source |

    | u2net_human_seg | A pre-trained model for human segmentation. | download, source |

    | u2net_cloth_seg | A pre-trained model for Cloths Parsing from human portrait. Here clothes are parsed into 3 category: Upper body, Lower body and Full body. | download, source |

    | silueta | Same as u2net but the size is reduced to 43Mb. | download, source |

    | isnet-general-use | A new pre-trained model for general use cases. |download, source |

    | isnet-anime | A high-accuracy segmentation for anime character. | download, source |

    | sam(not recommended, not easy to use) | A pre-trained model for any use cases. | download encoder, download decoder, source |



    Example

    Original Image LineArt before Rembg LineArt after Rembg


    Acknowledgements

    Thanks to rembg-comfyui-node for insight.

    Thanks to rembg-comfyui-node-better for modifying repo.