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# PhotoDoodle
PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data，you can use it in comfyUI
[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
# 1.Installation
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```
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
* 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 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
* 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 不推荐，因为更容易爆显存
| ├── flux1-dev-fp8.safetensors # if use fp8 single 16G 推荐
| ├── 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
```
lora download from [here](https://huggingface.co/nicolaus-huang/PhotoDoodle/tree/main)
* 3.2 more lora download from [here](https://huggingface.co/nicolaus-huang/PhotoDoodle/tree/main)
```
├── ComfyUI/models/loras/
| ├── pretrain.safetensors # 必须要