Embed images directly into your ComfyUI workflow JSON files, enhancing visual representation and branding within your projects. This tool allows users to incorporate custom graphics, making workflows more intuitive and visually appealing.
- Enables the embedding of images using Base64 encoding directly in workflow JSONs.
- Offers adjustable parameters like scale, opacity, background color, and border radius for image customization.
- Provides a convenient way to pin the node for persistent visibility while working on the canvas.
Context
This tool, known as ComfyUI Workflow Graphics, serves to integrate custom images into the ComfyUI environment, allowing users to enhance their workflow visuals. Its primary purpose is to facilitate branding and create visual guides, ultimately enriching the user experience while working with ComfyUI.
Key Features & Benefits
The tool allows users to embed images using Base64 encoding, which is a method of converting images into a text format that can be easily included in JSON files. Users can customize the appearance of these images through various parameters, such as scaling, adjusting opacity, and setting background colors, which are crucial for creating visually coherent workflows.
Advanced Functionalities
One of the unique aspects of this tool is its capability to pin the node, allowing users to keep the image visible while interacting with other elements on the canvas. Additionally, users can reload the graphics dynamically, ensuring that any changes made to the Base64 string are reflected in real-time without needing to refresh the entire workflow.
Practical Benefits
By integrating custom graphics directly into workflows, this tool streamlines the process of creating visually engaging projects, thereby improving overall workflow efficiency. It allows for better communication of ideas through visuals, aids in branding, and enhances the clarity of the workflow, making it easier for users to navigate and understand complex processes.
Credits/Acknowledgments
The tool is developed by the user "pixelworldai," and contributions can be supported through their Ko-fi page. The project is open-source, inviting collaboration and further development from the community.