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StableSR for Stable Diffusion WebUI - Ultra High-quality Image Upscaler
| Date | Stars |
|---|---|
| 2026-07-24 | 1092 |
| 2026-07-25 | 1092 |
| 2026-07-28 | 1092 |
| 2026-07-30 | 1092 |
| 2026-07-31 | 1092 |
| 2026-08-06 | 1092 |
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# StableSR for Stable Diffusion WebUI
Licensed under [S-Lab License 1.0](https://github.com/IceClear/StableSR/blob/main/LICENSE.txt)
English｜[中文](README_CN.md)
- StableSR is a competitive super-resolution method originally proposed by Jianyi Wang et al.
- This repository is a migration of the StableSR project to the Automatic1111 WebUI.
Relevant Links
> Click to view high-quality official examples!
- [Project Page](https://iceclear.github.io/projects/stablesr/)
- [Official Repository](https://github.com/IceClear/StableSR)
- [Paper on arXiv](https://arxiv.org/abs/2305.07015)
- [Paper on IJCV](https://link.springer.com/article/10.1007/s11263-024-02168-7)
> If you find this project useful, please give me & Jianyi Wang a star! ⭐
***
## Important Update
- 2023.07.01: We occasionally found that **proper negative prompts can significantly enhance the details of StableSR.**
- We use CFG Scale=7 with the following negative prompts: 3d, cartoon, anime, sketches, (worst quality:2), (low quality:2)
- Click [comparison1](https://imgsli.com/MTg5MjM1) to see the significant power of negative prompts.
- Postive prompts are not very useful, but it also helps. You can try (masterpiece:2), (best quality:2), (realistic:2),(very clear:2)
- With the above prompts, we are trying our best to approach close-source project GigaGAN's quality (while ours are still worse than their demo). Click [comparison2](https://imgsli.com/MTg5MzAx/) to see our current capability on 128x128->1024x1024 upscaling.
- 2023.06.30: We are happy to release a new SD 2.1 768 version of StableSR! (Thanks to Jianyi Wang)
- It produces similar amount of details, but with **significantly less artifacts** and **better color**.
- It supports the resolution of 768 * 768.
- To enjoy the new model:
- Use the SD 2.1 768 base model. It can be download from [HuggingFace](https://huggingface.co/stabilityai/stable-diffusion-2-1)
- The corresponding SR Module (~400MB): [Official Resource](https://huggingface.co/Iceclear/StableSR/blob/main/webui_768v_139.ckpt), [我的百度网盘-提取码8ju9](https://pan.baidu.com/s/17on7GA2RLvVzdDnBwA0N0g?pwd=8ju9)
- Now you can use a larger tile size in the Tiled Diffusion (96 * 96, the same as default settings), the speed can be slightly faster.
- Keep other things the same.
- Janyi Wang keeps trying to train more powerful SR modules suitable for AIGC images. These models will be tuned on SD2.1 768 or SDXL later.
***
## Features
1. **High-fidelity detailed image upscaling**:
- Being very detailed while keeping the face identity of your characters.
- Suitable for most images (Realistic or Anime, Photography or AIGC, SD 1.5 or Midjourney images...) [Official Examples](https://iceclear.github.io/projects/stablesr/)
2. **Less VRAM consumption**
- I remove the VRAM-expensive modules in the official implementation.
- The remaining model is much smaller than ControlNet Tile model and requires less VRAM.
- When combined with Tiled Diffusion & VAE, you can do 4k image super-resolution with limited VRAM (e.g., < 12 GB).
> Please be aware that sdp may lead to OOM for some unknown reasons. You may use xformers instead.
3. **Wavelet Color Fix**
- The official StableSR will significantly change the color of the generated image. The problem will be even more prominent when upscaling in tiles (Have been merged into official repo).
- I implement a powerful post-processing technique that effectively matches the color of the upscaled image to the original. See [Wavelet Color Fix Example](https://imgsli.com/MTgwNDg2/).
***
## Usage
### 1. Installation
⚪ Method 1: Official Market
- Open Automatic1111 WebUI -> Click Tab "Extensions" -> Click Tab "Available" -> Find "StableSR" -> Click "Install"
⚪ Method 2: URL Install
- Open Automatic1111 WebUI -> Click Tab "Extensions" -> Click Tab "Install from URL" -> type in https://github.com/pkuliyi2015/sd-webui-stablesr.git -> Click "Install"
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c21f0c99e03b773d, topic:stable-diffusion, topic:super-resolution, desc:stable diffusion