• Stars
    star
    224
  • Rank 177,792 (Top 4 %)
  • Language
    Python
  • License
    MIT License
  • Created about 1 year ago
  • Updated 5 months ago

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Repository Details

Download this extension via the ComfyUI manager to establish a connection between ComfyUI and the Auto-Photoshop-SD plugin in Photoshop. https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

Comfy-Photoshop-SD

Download this extension via the ComfyUI Manager to establish a connection between ComfyUI and the Auto-Photoshop-SD plugin in Photoshop.

How to Install:

  1. Install Auto-Photoshop-SD v1.4.0 or a later version -> using either installation Method 1 (.ccx) or Method 2 (.zip) file. Important: skip any instruction related to Automatic1111
  1. Install ComfyUI-Manager inside of ComfyUI

    • a) Navigate to ComfyUI Folder
    • b) Copy the following command:
    git clone https://github.com/ltdrdata/ComfyUI-Manager.git
    

    Follow the steps here:

    install.comfyui-manager.mp4
  1. Install this project (Comfy-Photoshop-SD) from ComfUI-Manager
how.to.install.ComfyUI-Manager.mp4
  1. Similarly install (comfyui_controlnet_aux)[https://github.com/Fannovel16/comfyui_controlnet_aux] from ComfyUI-Manager to use controlnet

Load Custom ComfyUI Workflows in Photoshop

  1. Load Workflow: Open your workflow in ComfyUI. Make sure it's error-free.

  2. Convert to API: Save the workflow as an API in JSON format. Use 'Save (API Format)', not 'Save'. See an example.

image

export.api.from.workflow.mp4
  1. Move API File: Transfer the API JSON file to a folder of your choice, only include json files that are made using this guide. Here's an image for reference. image

  2. Load Workflow in Photoshop: Load your custom workflow within Photoshop. Here's an example.

load.custom.workflow.inside.photoshop.mp4

How to Use:

Txt2Img with Hires fix:

txt2img_hires_fix.mp4

Img2Img with Hires fix:

img2img_hires_fix.mp4

Pure Img2Img :

img2img_only.mp4

Pure Inpainting:

pure_inpainting.mp4

Outpainting with Controlnet:

outpaint_with_ctrlnet.mp4