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[PhotoDoodle](https://github.com/showlab/PhotoDoodle) it a method about 'Learning Artistic Image Editing from Few-Shot Pairwise Data'，you can use it in comfyUI
# Update
* if use repo default use nf4 ,fast,and only 12G VRAM ,and not use mmgp,repo模式默认开启nf4量化，得益于新版的diffuser ，可以在不开启mmgp的情况下，轻松使用
* add fp8 nf4 transformer and T5 quantinaze chocie，add seed,增加量化菜单，和T5量化选项，用于repo模式，增加seed。
# 1.Installation
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# 4 Example
* if use single files，vae must choice "none" #flux1-dev-fp8.safetensors 16G 单体16G模型，内置clip和vae那种，vae必须选择"none"，不开启mmgp，次要推荐使用
![](https://github.com/smthemex/ComfyUI_PhotoDoodle/blob/main/assets/example.png)
![](https://github.com/smthemex/ComfyUI_PhotoDoodle/blob/main/assets/example0320.png)
* if use repo 'black-forest-labs/FLUX.1-dev' or C:/youpath/black-forest-labs/FLUX.1-dev 如果使用repo可以用自动下载或本地,不开启mmgp，第一推荐使用
![](https://github.com/smthemex/ComfyUI_PhotoDoodle/blob/main/assets/example_0317.png)
* if use unet #11G 单体unet模型，没有内置clip和vae的，所以必须要连双clip和选vae，可以不开启mmgp，12G可能会OOM