Tiled Diffusion for ComfyUI is an advanced extension designed to enhance large image generation and upscaling while managing VRAM usage effectively. It employs state-of-the-art techniques such as Tiled Diffusion, MultiDiffusion, and Mixture of Diffusers to optimize performance and output quality.
- Supports various models including SD1.x, SD2.x, SDXL, and SD3, ensuring compatibility with a broad range of image generation tasks.
- Incorporates Tiled VAE, which allows for efficient image processing by splitting images into manageable tiles, significantly improving VRAM utilization.
- Features ControlNet support, enabling users to maintain greater control over image generation parameters and outcomes.
Context
This tool serves as an extension for ComfyUI, specifically aimed at facilitating the generation and upscaling of large images while minimizing VRAM consumption. By utilizing advanced diffusion techniques, it allows artists and developers to produce high-quality images without being constrained by hardware limitations.
Key Features & Benefits
The extension boasts several practical features such as support for multiple models and the Tiled VAE algorithm, which breaks images into tiles for processing. This tiling approach not only enhances performance but also allows for the generation of ultra-large images, making it a versatile tool for users who require high-resolution outputs.
Advanced Functionalities
Among its advanced functionalities, the Tiled Diffusion method allows users to adjust parameters like tile width, height, and overlap to optimize image generation based on their specific requirements. The inclusion of SpotDiffusion offers a novel approach to reduce seam visibility in images, providing an experimental yet promising method for achieving smoother results.
Practical Benefits
This extension significantly improves workflow efficiency by allowing for the generation of large images with limited VRAM, thus making it accessible for users with less powerful hardware. The ability to process images in tiles also enhances control over the final output, leading to better quality and reduced processing times.
Credits/Acknowledgments
The development of this extension is credited to original authors and contributors, with its implementation based on the works of MultiDiffusion and Mixture of Diffusers, which are shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Additional acknowledgments are given to the contributors of the SD-WebUI extension, from which many techniques have been adapted.