ComfyUI Extension: ComfyUI_MS_Diffusion

Authored by smthemex

Created

Updated

49 stars

you can make story in comfyUI using MS-diffusion

Custom Nodes (0)

    README

    Youu can using MS_Diffusion in ComfyUI

    -- MS-Diffusion origin From: MS-Diffusion

    NEW Update

    • 2024/09/06:fix runway error/load single controlnet now /首次加载不再需要连外网。

    Previous updates

    • del clip repo,Add comfyUI clip_vision loader/加入comfyUI的clip vision节点,不再使用 clip repo。

    1.Installation

    In the ./ComfyUI /custom_node directory, run the following:

    git clone https://github.com/smthemex/ComfyUI_MS_Diffusion.git
    
    

    2.requirements

    pip install -r requirements.txt
    

    缺啥装啥。
    If the module is missing, please pip install

    3 Need model

    Need download "ms_adapter.bin" : link
    clip vision model ( any base from CLIP-ViT-bigG-14-laion2B-39B-b160k)
    Control_img image preprocessing, please use other nodes

    ├── ComfyUI/models/checkpoints/
    |             ├── any SDXL weigth
    ├── ComfyUI/models/photomaker/
    |             ├── ms_adapter.bin
    ├── ComfyUI/models/clip_vision/
    |             ├── clip_vision_g.safetensors  or CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors 
    ├── ComfyUI/models/controlnet 
    |             ├──any SDXL controlnet  
    

    4 using tips

    --生成物体名称需要用[ ]括起来,有多少个物体,就要有多少张图片输入;
    --To generate object names, they need to be enclosed in [ ]. As many objects as there are, there must be as many images to input;

    5 Example

    normal 2 boject 常规双主体图生图 最新示例。

    normal 4 boject 4主体图生图。更多的主体没有测试,旧示例,仅供参考。

    2 object zero shot and controlnet img2img 双物体加controlnet引导 图生图,旧示例,仅供参考

    6 Citation

    MS-Diffusion

    @misc{wang2024msdiffusion,
      title={MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance}, 
      author={X. Wang and Siming Fu and Qihan Huang and Wanggui He and Hao Jiang},
      year={2024},
      eprint={2406.07209},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
    }
    

    IP-Adapter

    @article{ye2023ip-adapter,
      title={IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models},
      author={Ye, Hu and Zhang, Jun and Liu, Sibo and Han, Xiao and Yang, Wei},
      booktitle={arXiv preprint arxiv:2308.06721},
      year={2023}
    }