The AIGrab application with Comfyui Workflow Adapter is a Python-based tool designed for image processing and manipulation. It provides a graphical user interface (GUI) for users to interact with and perform various image-related tasks. The application utilizes tkinter for the GUI, PIL for image handling, threading for concurrency, and websocket for communication with a server via Comfyui's workflow adapter.

(https://youtu.be/KU9LEyaDE34)

• Workflow: Select your favorite workflow from the dropdown menu.
• Image Capture: Captures image region selection from a screen device in real-time.
• Image Processing: Processes captured images using predefined workflows and user prompts fetched via Comfyui's workflow.
• GUI Interface: Provides an intuitive user interface with toolbar buttons, input fields, sliders, and canvas frames for image display.
• WebSocket Communication: Establishes communication with Comfyui's workflow adapter via WebSocket for fetching image data and processing instructions.
• Clipboard: Copy and paste processed images from the application to the clipboard.

1. Installation: Ensure Python and required libraries are installed.
2. Server Availability: Check if the server hosting Comfyui's workflow adapter is available for WebSocket communication.
3. Run Application: Execute the Python script to launch the AIGrab application.
4. Interact with GUI: Use the GUI interface to capture images, input prompts, adjust parameters, and view processed images.
5. Save Settings: Optionally save application settings for future sessions.
6. Exit Application: Close the application when done.

Open your terminal or command prompt and navigate to your project directory.

Use the following command to create a new Conda environment named aigrab and install the required packages:

conda create --name aigrab python=3.10 
conda activate aigrab
pip install -r requirenments.txt
python main.py

This project is licensed under the MIT License.

• Credits to the developers and contributors of the libraries used in this project.
• Special thanks to Comfyui for providing the workflow adapter and resources.

Feel free to adapt the README further to suit your preferences and requirements!