shiimizu/ComfyUI-TiledDiffusion
A ComfyUI extension enabling high-resolution AI image generation via tiled diffusion and optimized VAE processing.
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This extension implements tiled diffusion techniques to generate and upscale large images using diffusion models while managing VRAM constraints. It reproduces MultiDiffusion and Mixture of Diffusers methods, along with a tiled VAE algorithm for memory-efficient encoding and decoding. The tool supports SD 1.x, 2.x, SDXL, SD3, and FLUX models with ControlNet integration.
Frequently asked
- What is shiimizu/ComfyUI-TiledDiffusion?
- A ComfyUI extension enabling high-resolution AI image generation via tiled diffusion and optimized VAE processing.
- Is ComfyUI-TiledDiffusion open source?
- Yes — shiimizu/ComfyUI-TiledDiffusion is an open-source project tracked on heatdrop.
- What language is ComfyUI-TiledDiffusion written in?
- shiimizu/ComfyUI-TiledDiffusion is primarily written in Python.
- How popular is ComfyUI-TiledDiffusion?
- shiimizu/ComfyUI-TiledDiffusion has 536 stars on GitHub.
- Where can I find ComfyUI-TiledDiffusion?
- shiimizu/ComfyUI-TiledDiffusion is on GitHub at https://github.com/shiimizu/ComfyUI-TiledDiffusion.