2025-03-01 08:46:43 +08:00
2025-02-27 19:18:48 +08:00
2025-02-27 19:27:40 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 13:46:25 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 19:17:18 +08:00
2025-02-27 19:17:18 +08:00
2025-03-01 08:46:43 +08:00
2025-02-28 14:03:50 +08:00

PhotoDoodle

PhotoDoodle it a method about 'Learning Artistic Image Editing from Few-Shot Pairwise Data',you can use it in comfyUI

1.Installation


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

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

2.requirements


pip install -r requirements.txt
  • If Vram <=24G pip install mmgp ,这个方法适配的显存是40G,所以4090及以下显卡都要按照mmpg,这样才能跑得快,4090模型加载菜单,可以选0,或者1或者2

3.checkpoints

  • 3.1 mode use flux dev single checkpoints(fp8 or fp16) or repo or unet+ae+comfyui T5XXX ,三种选择,使用flux dev的fp8或fp16单体模型 或者使用repo,或者使用flux unet+ae+comfy的T5双clip
├── ComfyUI/models/diffusion_models/
|     ├── flux1-kj-dev-fp8.safetensors  # if use fp8 unet  11G  unet+vae+clip方法不推荐,因为更容易爆显存
|     ├── flux1-dev-fp8.safetensors  # if use fp8 single 16G  comfy官方单体模型或者flux官方单体模型,推荐,开启mmgp不会爆显存,虽然慢
  • 3.2 more lora download from here
├── ComfyUI/models/loras/
|     ├── pretrain.safetensors  # 必须要
|     ├── skscloudsketch.safetensors  # 选你喜欢的lora

4 Example

5. Acknowledgments

  1. Thanks to Yuxuan Zhang and Hailong Guo for providing the code base.
  2. Thanks to Diffusers for the open-source project.

Citation

@misc{huang2025photodoodlelearningartisticimage,
      title={PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data}, 
      author={Shijie Huang and Yiren Song and Yuxuan Zhang and Hailong Guo and Xueyin Wang and Mike Zheng Shou and Jiaming Liu},
      year={2025},
      eprint={2502.14397},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.14397}, 
}
S
Description
No description provided
Readme MIT
15 MiB
Languages
Python 100%