| AUTOMATIC1111 Stable Diffusion Web UI | |
|---|---|
 | |
| Original author | AUTOMATIC1111 |
| Developers | AUTOMATIC1111 and community |
| Initial release | Augustย 22, 2022[1] |
| Written in | Python |
| License | AGPL-3.0[2] |
| Repository | github |
AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111[3]) is an open source generative artificial intelligence program that allows users to generate images from a text prompt.[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.[5]
History
editSD WebUI was released on GitHub on August 22, 2022, by AUTOMATIC1111,[1] 1 month after the initial release of Stable Diffusion.[6] At the time, Stable Diffusion could only be run via the command line.[5] SD WebUI quickly rose in popularity and has been described as "the most popular tool for running diffusion models locally."[4][7] SD WebUI is one of the most popular user interfaces for Stable Diffusion, together with ComfyUI.[8] In February 2024, a book was published by ja:Gijutsu Hyoronsha on using Stable Diffusion with SD WebUI in Japanese.[9][10] As of July 2024, the project had 136,000 stars on GitHub.[11]
Features
editSD WebUI uses Gradio for its user interface.[12][13][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.[12][13][15] SD WebUI supports prompt weighting, image-to-image based generation, inpainting, outpainting and image scaling.[16] It supports over 20 samplers including DDIM, Euler, Euler a, DPM++ 2M Karras, and UniPC.[16][17] It is also used for its various optimizations over the base Stable Diffusion.[5]
Stable Diffusion WebUI Forge
editStable Diffusion WebUI Forge (Forge) is a notable fork of SD WebUI started by Lvmin Zhang, who is also the creator of ControlNet and Fooocus.[18][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.[18][19] One of Forge's optimizations allowed users with low VRAM to generate images faster on some versions of Stable Diffusion.[18] It improved generation speed for users with 8GB and 6GB VRAM by 30-45% and 60-75%, respectively.[18][19] Forge also includes extra features such as support for more samplers than standard SD WebUI.[20] Some of Forge's optimizations were borrowed from ComfyUI, and others were developed by the Forge team.[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.[21]
See also
edit
References
edit- ^ a b AUTOMATIC1111 (Aug 22, 2022). "Initial commit". github.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ AUTOMATIC1111 (Jan 15, 2023). "add license file". github. Retrieved 11 July 2024.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ Brade, 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.ย 1โ14. arXiv:2304.09337. doi:10.1145/3586183.3606725. ISBNย 979-8-4007-0132-0.
- ^ a b Mann, Tobias (29 Jun 2024). "A friendly guide to local AI image gen with Stable Diffusion and Automatic1111". The Register.
- ^ a b c Lewis, Nick (16 September 2022). "How to Run Stable Diffusion Locally With a GUI on Windows". How-To Geek. Retrieved 11 July 2024.
- ^ "Announcing SDXL 1.0". Stability AI. July 26, 2023.
- ^ Zhu, Andrew (2024). Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion. Packt Publishing. ISBNย 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
- ^ Hu, 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.ย 1946. Springer Nature Singapore. pp.ย 128โ138. doi:10.1007/978-981-99-7587-7_11. ISBNย 978-981-99-7586-0.
Currently, the most popular user interfaces for Stable Diffusion are Stable Diffusion WebUI and ComfyUI.
- ^ ๅคงๅด, ้ก; ๆฐดๅฃ, ็ไป (23 March 2024). ใฏใใใฆใงใใใใพใงใงใใ Stable Diffusion็ปๅ็ๆ๏ผปๆฌๆ ผ๏ผฝๆดป็จใฌใคใ (in Japanese). ja:ๆ่ก่ฉ่ซ็คพ. ISBNย 978-4-297-14083-0.
- ^ ใใใใใใใ (12 June 2024). "็ฌฌ817ๅ ๅ่ๆธใ็ๆใซUbuntuใงใStable Diffusion WebUIใๅไฝใใใ็ปๅใ็ๆใใ". gihyo.jp (in Japanese). ja:ๆ่ก่ฉ่ซ็คพ.
- ^ AUTOMATIC1111 (August 2022). "Stable Diffusion Web UI". github.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ a b Wang, 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): 90โ95. doi:10.7236/IJASC.2023.12.2.90.
Stable Diffusion Web UI is a browser interface based on the Gradio library,
- ^ a b Kim, 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. ISBNย 978-1-912294-59-6.
- ^ Hook, Steve (10 January 2024). "Stable Diffusion WebUI - Run SDXL locally with the AUTOMATIC1111 GUI". PC Guide.
- ^ Pocock, Kevin (16 August 2023). "Stable Diffusion: How to Use VAE". PC Guide. Retrieved 11 July 2024.
- ^ a b Phoenix, James; Taylor, Mike (2024). "AUTOMATIC1111 Web User Interface". Prompt engineering for generative AI: future-proof inputs for reliable AI outputs at scale (Firstย ed.). Beijing Boston: O'Reilly. ISBNย 978-1098153434.
- ^ Zhang, Jing; Jiang, Yan (June 2023). "Style Transfer Technology of Batik Pattern Based on Deep Learning". Journal of Fiber Bioengineering and Informatics. 16 (1): 57โ67. doi:10.3993/jfbim02171.
- ^ a b c d ่ฅฟๅท ๅไน (14 February 2024). "ใ่ฅฟๅทๅไน ใฎไธๅฎๆใณใฉใ ใ VRAMใๅฐใชใGPUใง็ปๅ็ๆAIใ่ซฆใใฆใใไบบใซใใStable Diffusion WebUI Forgeใ็ปๅ ด๏ผ". PC Watch (in Japanese).
- ^ a b c d ๆฐๆธ ๅฃซ (February 26, 2024). "็ปๅ็ๆAIใๅฎใPCใงใ้ซ้ใซ ่กๆใฎใStable Diffusion WebUI Forgeใ (1/4)". ASCII.jp (in Japanese).
- ^ Horsey, Julian (14 February 2024). "Stable Diffusion WebUI Forge up to 75% faster than Automatic 1111 and ComfyUI". Geeky Gadgets.
- ^ ็ฐๅฃๅ่ฃ (August 18, 2024). "่ฉฑ้กใฎ็ปๅ็ๆAIใFLUX.1ใใStable Diffusion็จใฎใWebUI Forgeใใงๅใใ๏ผ้ซ้ๅใ่ฉฆใใฆใฟใพใใ๏ผ (1/6)". ASCII.jp (in Japanese).
