Stable Diffusion: Difference between revisions

(Created page with "thumb|Figure 1. Stable Diffusion developer adoption. Source: A16S and GitHub. Stable Diffusion is a text-to-image latent diffusion model developed by Stability AI, allowing users to generate art in seconds based on their natural language inputs, known as prompts. <ref name="”1”"> Stability AI. Stable Diffusion launch announcement. Stability AI. https://stability.ai/blog/stable-diffusion-a...")
 
 
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[[File:1. Stable Diffusion developer adoption.png|thumb|Figure 1. Stable Diffusion developer adoption. Source: A16S and GitHub.]]
[[File:1. Stable Diffusion developer adoption.png|thumb|Figure 1. Stable Diffusion developer adoption. Source: A16S and GitHub.]]
 
[[Stable Diffusion]] is a [[text-to-image]] [[latent diffusion model]] developed by [[Stability AI]], allowing users to [[AI art|generate art]] in seconds based on their natural language inputs, known as [[prompt]]s. <ref name="”1”"> Stability AI. Stable Diffusion launch announcement. Stability AI. https://stability.ai/blog/stable-diffusion-announcement</ref> <ref name="”2”"> Stable Diffusion GitHub. Stable Diffusion. GitHub. https://github.com/CompVis/stable-diffusion#stable-diffusion-v1</ref> This model, released to the public with an open-source license, can also perform tasks like inpainting, outpainting, and image translation. <ref name="”3”"> Raj, G (2022). What is Stable Diffusion? A complete guide on how to run, copyright, use cases. Decentralized Creator. https://decentralizedcreator.com/what-is-stable-diffusion-a-complete-guide-on-how-to-run-copyright-use-cases/</ref> <ref name="”4”"> Borji, A (2022). Generated faces in the wild: Quantitative comparison of Stable Diffusion, Midjourneyu and DALL-E 2. arXiv:2210.00586v1</ref> Furthermore, it can run on consumer GPUs. <ref name="”5”"> Hachman, M (2022). The new killer app: Creating AI art will absolutely crush your PC. PC World. https://www.pcworld.com/article/916785/creating-ai-art-local-pc-stable-diffusion.html</ref>
Stable Diffusion is a [[text-to-image]] [[latent diffusion model]] developed by [[Stability AI]], allowing users to [[AI art|generate art]] in seconds based on their natural language inputs, known as [[prompt]]s. <ref name="”1”"> Stability AI. Stable Diffusion launch announcement. Stability AI. https://stability.ai/blog/stable-diffusion-announcement</ref> <ref name="”2”"> Stable Diffusion GitHub. Stable Diffusion. GitHub. https://github.com/CompVis/stable-diffusion#stable-diffusion-v1</ref> This model, released to the public with an open-source license, can also perform tasks like inpainting, outpainting, and image translation. <ref name="”3”"> Raj, G (2022). What is Stable Diffusion? A complete guide on how to run, copyright, use cases. Decentralized Creator. https://decentralizedcreator.com/what-is-stable-diffusion-a-complete-guide-on-how-to-run-copyright-use-cases/</ref> <ref name="”4”"> Borji, A (2022). Generated faces in the wild: Quantitative comparison of Stable Diffusion, Midjourneyu and DALL-E 2. arXiv:2210.00586v1</ref> Furthermore, it can run on consumer GPUs. <ref name="”5”"> Hachman, M (2022). The new killer app: Creating AI art will absolutely crush your PC. PC World. https://www.pcworld.com/article/916785/creating-ai-art-local-pc-stable-diffusion.html</ref>


Stable Diffusion is available in different formats: a public demo on [[HuggingFace]], slower and often breaks, a software beta named [[DreamStudio]], which is easier to use, faster but the user is charged after a certain number of [[image generation]]s, and a full-fat version of the model that everyone can download for unlimited art generation. <ref name="”5”"></ref> <ref name="”6”"> Vincent, J (2022). Anyone can use this [[AI art generator]] — that’s the risk. The Verge. https://www.theverge.com/2022/9/15/23340673/ai-image-generation-stable-diffusion-explained-ethics-copyright-data</ref> Third-party developers have contributed to make the software easier to download and use, such as in case of the version for macOS with a simple one-click installer. <ref name="”6”"></ref>
Stable Diffusion is available in different formats: a public demo on [[HuggingFace]], slower and often breaks, a software beta named [[DreamStudio]], which is easier to use, faster but the user is charged after a certain number of [[image generation]]s, and a full-fat version of the model that everyone can download for unlimited art generation. <ref name="”5”"></ref> <ref name="”6”"> Vincent, J (2022). Anyone can use this [[AI art generator]] — that’s the risk. The Verge. https://www.theverge.com/2022/9/15/23340673/ai-image-generation-stable-diffusion-explained-ethics-copyright-data</ref> Third-party developers have contributed to make the software easier to download and use, such as in case of the version for macOS with a simple one-click installer. <ref name="”6”"></ref>
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===Local Machine===
===Local Machine===


As an open-source model, it can be run on Windows, Mac, or Linux computers for free. To run on these operating systems, UnstableFusion—a graphical interface for desktops—is required. Diffusion Bee can also be used but only on Mac computers. <ref name="”1”"></ref> A full tutorial on how to install Stable Diffusion locally can be found [https://www.howtogeek.com/832491/how-to-run-stable-diffusion-locally-with-a-gui-on-windows/ here].
As an open-source model, it can be run on Windows, Mac, or Linux computers for free. To run on these operating systems, UnstableFusion—a graphical interface for desktops—is required. Diffusion Bee can also be used but only on Mac computers. <ref name="”1”"></ref> A full tutorial on how to install Stable Diffusion locally can be found [https://www.howtogeek.com/832491/how-to-run-stable-diffusion-locally-with-a-gui-on-windows/ here]. To install the WEB UI version specifically on a windows 10 machine try [https://soartificial.com/how-to-install-and-run-stable-diffusion-on-a-windows-pc/ here]


==DiffusionDB==
==DiffusionDB==