ComfyUI Diffusion Color Grading is an extension designed for ComfyUI that enables users to perform color grading based on the range of latent tensor values. This tool enhances the visual quality of generated images by allowing precise adjustments to color and strength during the diffusion process.
- Offers nodes like Recenter and Normalization for tailored color adjustments.
- Allows global control over the color grading effect, giving users flexibility in their workflows.
- Includes an example workflow to illustrate practical usage within the ComfyUI environment.
Context
This extension serves to enhance the ComfyUI framework by integrating custom nodes that facilitate color grading. By manipulating latent tensor values, users can achieve a refined color output, improving the overall aesthetic of their generated art.
Key Features & Benefits
The primary features include the Recenter node, which adjusts the overall color balance, and the Normalization node, which ensures that the color grading is applied consistently throughout the image generation process. These features are crucial for artists looking to maintain control over the final visual output, allowing for adjustments that can significantly enhance the quality of the images produced.
Advanced Functionalities
The Recenter node provides a global effect, meaning it affects the entire image generation process. Users can fine-tune the strength and color parameters, enabling them to create specific looks or styles. Additionally, if users wish to deactivate the effect temporarily, they can easily do so by adding another Recenter node with a strength of 0.0.
Practical Benefits
This tool streamlines the workflow in ComfyUI by providing intuitive controls for color grading, which can lead to higher quality outputs and more efficient image generation processes. By allowing for real-time adjustments, artists can quickly iterate on their designs, ensuring that the final product meets their creative vision.
Credits/Acknowledgments
This extension is a collaborative effort between the original author and Timothy Alexis Vass. For further details, users can refer to the original extension documentation for the Automatic1111 WebUI.