LCM_Inpaint_Outpaint_Comfy

LCM_Inpaint_Outpaint_Comfy
★ 261

图像修复图像扩展潜在一致性模型(LCM)ComfyUI 节点
在 ComfyUI 中使用 LCM(Latent Consistency Model)进行图像的内填与外扩,保持潜在空间一致性与无缝衔接。
💡 在 ComfyUI 中对图像进行高质量的内填与外扩。
🍴 23 Forks💻 Python🔄 2024-11-18
📦
网盘下载
复制链接后前往夸克网盘下载
https://pan.quark.cn/s/51137d50651f
📦 requirements.txt
diffusers
tomesd
compel
icecream
Flask
📄 README

Important

Errors may occur on Windows due to paths being formatted for linux without accounting for Windows. Let me know if you face any error in the issues page.

LCM_Inpaint-Outpaint_Comfy

ComfyUI custom nodes for inpainting/outpainting using the new latent consistency model (LCM)

Mix Images

Inpaint

Outpaint

Prompt Weighting

Note: Requires CPU inference (select CPU in LCMLoader Node). (facing error that i dont know how to fix when using GPU)

Add ‘+’ for more effect and ‘-‘ for less effect. Adding more ‘+’ or ‘-‘ increases the effects.

FreeU

ReferenceOnly

Style Transfer

Image Variations

Promptless Outpainting

Image Blending

ControlNet/T2I Adapter

T2IAdapter thanks to Michael Poutre https://github.com/M1kep

Place model folders inside ‘ComfyUI/models/controlnet’

IP Adapter

Place model folders inside ‘ComfyUI/models/controlnet’

Canvas Inpaint/Outpaint/img2img

In your Terminal/cmd at the directory where your ComfyUI folder is:

cd ComfyUI/custom_nodes/LCM_Inpaint_Outpaint_Comfy/CanvasTool

python setup.py

How to Use:

Clone into custom_nodes folder inside your ComfyUI directory

“`

git clone https://github.com/taabata/LCM_Inpaint-Outpaint_Comfy

“`

Install requirements after changing directory to LCM_Inpaint-Outpaint_Comfy folder

cd LCM_Inpaint-Outpaint_Comfy
pip install -r requirements.txt

Download the model in diffusers format from https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7/tree/main and place it inside model/diffusers folder in your ComfyUI directory. (The name of the model folder should be “LCM_Dreamshaper_v7”)

Load the workflow by choosing the .json file for inpainting or outpainting.

Credits

nagolinc’s img2img script

Michael Poutre https://github.com/M1kep T2IAdapters