# 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