# multidiffusion-upscaler-for-automatic1111 **Repository Path**: stable_diffusion/multidiffusion-upscaler-for-automatic1111 ## Basic Information - **Project Name**: multidiffusion-upscaler-for-automatic1111 - **Description**: MultiDiffusion + Tiled VAE 以更低的显存生成更大的图像。 Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 - **GVP Project**: No ## Statistics - **Stars**: 14 - **Forks**: 2 - **Created**: 2023-03-12 - **Last Updated**: 2025-05-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Tiled Diffusion & VAE extension for sd-webui [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa] This extension is licensed under [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/), everyone is FREE of charge to access, use, modify and redistribute with the same license. **You cannot use versions after AOE 2023.3.28 for commercial sales (only refers to code of this repo, the derived artworks are NOT restricted).** 由于部分无良商家销售WebUI,捆绑本插件做卖点收取智商税,本仓库的许可证已修改为 [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/),任何人都可以自由获取、使用、修改、以相同协议重分发本插件。 **自许可证修改之日(AOE 2023.3.28)起,之后的版本禁止用于商业贩售 (不可贩售本仓库代码,但衍生的艺术创作内容物不受此限制)。** If you like the project, please give me a star! ⭐ [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/pkuliyi2015) **** The extension helps you to **generate or upscale large images (≥2K) with limited VRAM (≤6GB)** via the following techniques: - Reproduced SOTA Tiled Diffusion methods - [Mixture of Diffusers](https://github.com/albarji/mixture-of-diffusers) - [MultiDiffusion](https://multidiffusion.github.io) - [Demofusion](https://github.com/PRIS-CV/DemoFusion) - Our original Tiled VAE method - My original Tiled Noise Inversion method ### Features - Core - [x] [Tiled VAE](#tiled-vae) - [x] [Tiled Diffusion: txt2img generation for ultra-large image](#tiled-diff-txt2img) - [x] [Tiled Diffusion: img2img upscaling for image detail enhancement](#tiled-diff-img2img) - [x] [Regional Prompt Control](#region-prompt-control) - [x] [Tiled Noise Inversion](#tiled-noise-inversion) - Advanced - [x] [ControlNet support]() - [x] [StableSR support](https://github.com/pkuliyi2015/sd-webui-stablesr) - [x] [SDXL support](experimental) - [x] [Demofusion support]() 👉 在 [wiki](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/wiki) 页面查看详细的文档和样例,以及由 [@PotatoBananaApple](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/discussions/120) 制作的 [快速入门教程](https://civitai.com/models/34726) 👉 Find detailed documentation & examples at our [wiki](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/wiki), and quickstart [Tutorial](https://civitai.com/models/34726) by [@PotatoBananaApple](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111/discussions/120) 🎉 ### Examples ⚪ Txt2img: generating ultra-large images `prompt: masterpiece, best quality, highres, city skyline, night.` ![panorama](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/city_panorama.jpeg?raw=true) ⚪ Img2img: upcaling for detail enhancement | original | x4 upscale | | :-: | :-: | | ![lowres](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/lowres.jpg?raw=true) | ![highres](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/highres.jpeg?raw=true) | ⚪ Regional Prompt Control | region setting | output1 | output2 | | :-: | :-: | :-: | | ![MultiCharacterRegions](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/multicharacter.png?raw=true) | ![MultiCharacter](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/multicharacter.jpeg?raw=true) | ![MultiCharacter](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/multicharacter2.jpeg?raw=true) | | ![FullBodyRegions](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/fullbody_regions.png?raw=true) | ![FullBody](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/fullbody.jpeg?raw=true) | ![FullBody2](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/fullbody2.jpeg?raw=true) | ⚪ ControlNet support | original | with canny | | :-: | :-: | | ![Your Name](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/yourname_canny.jpeg?raw=true) | ![Your Name](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/yourname.jpeg?raw=true) | | 重绘 “清明上河图” | | :-: | :-: | | original | ![ancient city](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/ancient_city_origin_compressed.jpeg?raw=true) | | processed | ![ancient city](https://github.com/pkuliyi2015/multidiffusion-img-demo/blob/master/ancient_city_compressed.jpeg?raw=true) | ⚪ DemoFusion support | original | x3 upscale | | :-: | :-: | | ![demo-example](https://github.com/Jaylen-Lee/image-demo/blob/main/example.png?raw=true) | ![demo-result](https://github.com/Jaylen-Lee/image-demo/blob/main/3.png?raw=true) | ### License Great thanks to all the contributors! 🎉🎉🎉 This work is licensed under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa] [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg