pkuliyi2015/multidiffusion-upscaler-for-automatic1111
A Stable Diffusion WebUI extension for generating or upscaling high-resolution images using tiled diffusion methods with limited VRAM.
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Implements tiled diffusion techniques including Mixture of Diffusers, MultiDiffusion, and Demofusion alongside a custom Tiled VAE method to enable generating or upscaling images at 2K+ resolution on GPUs with as little as 6GB VRAM. Supports ControlNet integration, SDXL models, Regional Prompt Control for compositing multiple prompts across image regions, and StableSR for super-resolution upscaling.
Frequently asked
- What is pkuliyi2015/multidiffusion-upscaler-for-automatic1111?
- A Stable Diffusion WebUI extension for generating or upscaling high-resolution images using tiled diffusion methods with limited VRAM.
- Is multidiffusion-upscaler-for-automatic1111 open source?
- Yes — pkuliyi2015/multidiffusion-upscaler-for-automatic1111 is an open-source project tracked on heatdrop.
- What language is multidiffusion-upscaler-for-automatic1111 written in?
- pkuliyi2015/multidiffusion-upscaler-for-automatic1111 is primarily written in Python.
- How popular is multidiffusion-upscaler-for-automatic1111?
- pkuliyi2015/multidiffusion-upscaler-for-automatic1111 has 5k stars on GitHub.
- Where can I find multidiffusion-upscaler-for-automatic1111?
- pkuliyi2015/multidiffusion-upscaler-for-automatic1111 is on GitHub at https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111.