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AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111cite-ref-acm-oct-2023-3-0[3]) is an open source generative artificial intelligence program that allows users to generate images from a text prompt.cite-ref-theregister-4-0[4] It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions and features to customize its output.cite-ref-howtogeek-5-0[5]

• History

• Features

• Stable Diffusion WebUI Forge

• See also

• References

SD WebUI was released on GitHub on August 22, 2022, by AUTOMATIC1111,cite-ref-githubrelease-1-1[1] 1 month after the initial release of Stable Diffusion.cite-ref-stablediffusionrelease-6-0[6] At the time, Stable Diffusion could only be run via the command line.cite-ref-howtogeek-5-1[5] SD WebUI quickly rose in popularity and has been described as "the most popular tool for running diffusion models locally."cite-ref-theregister-4-1[4]cite-ref-zhu-7-0[7] A user study of six StableDiffusion users showed that all participants had used SD WebUI at least once.cite-ref-acm-oct-2023-3-1[3] The study showed that users ascribe SD WebUI's popularity to its ease of installation and support for open source tools.cite-ref-acm-oct-2023-3-2[3] SD WebUI is one of the most popular user interfaces for Stable Diffusion, together with ComfyUI.cite-ref-hu-2024-8-0[8] In February 2024, a book was published by ja:Gijutsu Hyoronsha on using Stable Diffusion with SD WebUI in Japanese.cite-ref-9-0[9]cite-ref-gihyo-jp-10-0[10] As of July 2024, the project had 136,000 stars on GitHub.cite-ref-gihubrepo-11-0[11]

SD WebUI uses Gradio for its user interface.cite-ref-koreascience-12-0[12]cite-ref-iasdr-13-0[13]cite-ref-pcguidegradio-14-0[14] Each parameter in the Stable Diffusion program is exposed via a UI interface within SD WebUI. SD WebUI contains additional parameters not included in Stable Diffusion itself, such as support for Low-rank adaptations, ControlNet and custom variational autoencoders.cite-ref-koreascience-12-1[12]cite-ref-iasdr-13-1[13]cite-ref-pcguide-15-0[15] SD WebUI supports prompt weighting, image-to-image based generation, inpainting, outpainting and image scaling.cite-ref-phoenix-taylor-16-0[16] It supports over 20 samplers including DDIM, Euler, Euler a, DPM++ 2M Karras, and UniPC.cite-ref-phoenix-taylor-16-1[16]cite-ref-zhang-jiang-17-0[17] It is also used for its various optimizations over the base Stable Diffusion.cite-ref-howtogeek-5-2[5]

Stable Diffusion WebUI Forge (Forge) is a notable fork of SD WebUI started by Lvmin Zhang, who is also the creator of ControlNet and Fooocus.cite-ref-pc-watch-14-february-2024-18-0[18]cite-ref-ascii-february-26-2024-19-0[19] The initial goal of Forge was to improve the performance and features of SD WebUI with the intention to upstream changes back to SD WebUI.cite-ref-pc-watch-14-february-2024-18-1[18]cite-ref-ascii-february-26-2024-19-1[19] One of Forge's optimizations allowed users with low VRAM to generate images faster on some versions of Stable Diffusion.cite-ref-pc-watch-14-february-2024-18-2[18] It improved generation speed for users with 8GB and 6GB VRAM by 30-45% and 60-75%, respectively.cite-ref-pc-watch-14-february-2024-18-3[18]cite-ref-ascii-february-26-2024-19-2[19] Forge also includes extra features such as support for more samplers than standard SD WebUI.cite-ref-geeky-gadgets-14-february-2024-20-0[20] Some of Forge's optimizations were borrowed from ComfyUI, and others were developed by the Forge team.cite-ref-ascii-february-26-2024-19-3[19] In August 2024, Forge added support for the Flux diffusion model developed by Black Forest Labs, which is not yet supported by SD WebUI.cite-ref-ascii-august-18-2024-21-0[21]

• ComfyUI

cite-note-githubrelease-11. citerefautomatic11112022AUTOMATIC1111 (Aug 22, 2022). "Initial commit". github.{{cite web}}: CS1 maint: numeric names: authors list (link)

cite-note-githublicense-21. citerefautomatic11112023AUTOMATIC1111 (Jan 15, 2023). "add license file". github. Retrieved 11 July 2024.{{cite web}}: CS1 maint: numeric names: authors list (link)

cite-note-acm-oct-2023-33. ↑ citerefbradewangsousaoore2023Brade, Stephen; Wang, Bryan; Sousa, Mauricio; Oore, Sageev; Grossman, Tovi (29 October 2023). "Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models". Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery. pp. 1–14. arXiv:2304.09337. doi:10.1145/3586183.3606725. ISBN 979-8-4007-0132-0.

cite-note-theregister-44. ↑ citerefmann2024Mann, Tobias (29 Jun 2024). "A friendly guide to local AI image gen with Stable Diffusion and Automatic1111". The Register.

cite-note-howtogeek-55. ↑ citereflewis2022Lewis, Nick (16 September 2022). "How to Run Stable Diffusion Locally With a GUI on Windows". How-To Geek. Retrieved 11 July 2024.

cite-note-stablediffusionrelease-66. ↑ "Announcing SDXL 1.0". Stability AI. July 26, 2023.

cite-note-zhu-77. ↑ citerefzhu2024Zhu, Andrew (2024). Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion. Packt Publishing. ISBN 978-1835084311. Stable Diffusion WebUI from AUTO MATIC1111: This might be the most popular web-based application currently that allows users to generate images and text using Stable Diffusion. It provides a GUI interface that makes it easy to experiment with different settings and parameters

cite-note-hu-2024-88. ↑ citerefhuxuduzeng2024Hu, Qihan; Xu, Zhenghui; Du, Peng; Zeng, Hao; Ma, Tongqing; Zhao, Youbing; Xie, Hao; Zhang, Peng; Liu, Shuting; Zang, Tongnian; Wang, Xuemei (2024). "CanFuUI: A Canvas-Centric Web User Interface for Iterative Image Generation with Diffusion Models and ControlNet". AI-generated Content. Communications in Computer and Information Science. Vol. 1946. Springer Nature Singapore. pp. 128–138. doi:10.1007/978-981-99-7587-7_11. ISBN 978-981-99-7586-0. Currently, the most popular user interfaces for Stable Diffusion are Stable Diffusion WebUI and ComfyUI.

cite-note-99. ↑ citeref-2024大崎, 顕; 水口, 瑛介 (23 March 2024). はじめてでもここまでできる Stable Diffusion画像生成［本格］活用ガイド (in Japanese). ja:技術評論社. ISBN 978-4-297-14083-0.

cite-note-gihyo-jp-1010. ↑ citeref-2024あわしろいくや (12 June 2024). "第817回 参考書を片手にUbuntuでもStable Diffusion WebUIを動作させ、画像を生成する". gihyo.jp (in Japanese). ja:技術評論社.

cite-note-gihubrepo-1111. ↑ citerefautomatic11112022AUTOMATIC1111 (August 2022). "Stable Diffusion Web UI". github.{{cite web}}: CS1 maint: numeric names: authors list (link)

cite-note-koreascience-1212. ↑ citerefwangchung2023Wang, Chenghao; Chung, Jeanhun (30 June 2023). "Research on AI Painting Generation Technology Based on the [Stable Diffusion]". International Journal of Advanced Smart Convergence. 12 (2): 90–95. doi:10.7236/IJASC.2023.12.2.90. Stable Diffusion Web UI is a browser interface based on the Gradio library,

cite-note-iasdr-1313. ↑ citerefkimkokwonlee2023Kim, Seonuk; Ko, Taeyoung; Kwon, Yousang; Lee, Kyungho (9 October 2023). "Designing interfaces for text-to-image prompt engineering using stable diffusion models: a human-AI interaction approach". IASDR Conference Series. doi:10.21606/iasdr.2023.448. ISBN 978-1-912294-59-6.

cite-note-pcguidegradio-1414. ↑ citerefhook2024Hook, Steve (10 January 2024). "Stable Diffusion WebUI - Run SDXL locally with the AUTOMATIC1111 GUI". PC Guide.

cite-note-pcguide-1515. ↑ citerefpocock2023Pocock, Kevin (16 August 2023). "Stable Diffusion: How to Use VAE". PC Guide. Retrieved 11 July 2024.

cite-note-phoenix-taylor-1616. ↑ citerefphoenixtaylor2024Phoenix, James; Taylor, Mike (2024). "AUTOMATIC1111 Web User Interface". Prompt engineering for generative AI: future-proof inputs for reliable AI outputs at scale (First ed.). Beijing Boston: O'Reilly. ISBN 978-1098153434.

cite-note-zhang-jiang-1717. ↑ citerefzhangjiang2023Zhang, Jing; Jiang, Yan (June 2023). "Style Transfer Technology of Batik Pattern Based on Deep Learning". Journal of Fiber Bioengineering and Informatics. 16 (1): 57–67. doi:10.3993/jfbim02171.

cite-note-pc-watch-14-february-2024-1818. ↑ citeref-2024西川 和久 (14 February 2024). "【西川和久の不定期コラム】 VRAMが少ないGPUで画像生成AIを諦めていた人に。「Stable Diffusion WebUI Forge」登場！". PC Watch (in Japanese).

cite-note-ascii-february-26-2024-1919. ↑ citeref-2024新清士 (February 26, 2024). "画像生成AI、安いPCでも高速に 衝撃の「Stable Diffusion WebUI Forge」 (1/4)". ASCII.jp (in Japanese).

cite-note-geeky-gadgets-14-february-2024-2020. ↑ citerefhorsey2024Horsey, Julian (14 February 2024). "Stable Diffusion WebUI Forge up to 75% faster than Automatic 1111 and ComfyUI". Geeky Gadgets.

cite-note-ascii-august-18-2024-2121. ↑ citeref-2024田口和裕 (August 18, 2024). "話題の画像生成AI「FLUX.1」をStable Diffusion用の「WebUI Forge」で動かす（高速化も試してみました） (1/6)". ASCII.jp (in Japanese).