# 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

Name	Type	Description
device	COMBO	2 options: cpu, cuda
ip_adapter	COMBO	0 options:
ip_adapter_full_path	STRING	—

LCM_IPAdapter

Inputs (3)

Outputs (1)