3.3 KiB
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