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Stable Diffusion icon

Stable Diffusion

 20 likes

Stable Diffusion utilizes open-source deep learning and latent diffusion to generate images from text. It supports inpainting, outpainting, image-to-image translation, and operates effectively with a minimum 4GB VRAM, making AI image generation accessible to consumer hardware since its 2022 launch.

Stable Diffusion screenshot 1

License model

  • FreemiumOpen Source

Application type

Platforms

  • Online
  • Self-Hosted
5 / 5 Avg rating (1)
20 likes
1comment

Features

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  1.  Text to Image Generation
  2.  No Coding Required
  3.  Image to Image Generation
  4.  AI-Powered

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Stable Diffusion information

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AI Tools & ServicesPhotos & Graphics

GitHub repository

  •  25,060 Stars
  •  2,780 Forks
  •  302 Open Issues
  •   Updated Sep 4, 2024 
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Our users have written 1 comments and reviews about Stable Diffusion, and it has gotten 20 likes

Stable Diffusion was added to AlternativeTo by Mauricio B. Holguin on Jul 26, 2023 and this page was last updated Nov 4, 2024. Stable Diffusion is sometimes referred to as Stable Diffusion XL, SDXL, SD, StableDiffusion, Latent Diffusion, Stability AI, Stability.AI, StabilityAI.

Comments and Reviews

   
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Kevin Thomas
CommentOct 27, 2023

When Stability.ai launched Clipdrop, all the tools were free. Today, Stable Difusion XL (text to image) and Stable Doodle have become payware, and to use them you have to upgrade to the Pro version. So it's no longer free but freemium. Stability.ai also has another online site for image creation (dreamstudio.ai), but it too is freemium, so I'm asking Paul, the site administrator, to put "freemium" and not "free".

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What is Stable Diffusion?

Stable Diffusion, a product of Stability AI, is a text-to-image model that uses deep learning and diffusion techniques. Launched in 2022, it's a part of the rising artificial intelligence technology. It's a latent diffusion model, a type of deep generative artificial neural network.

Its main function is to create images from text descriptions. It also performs tasks like inpainting, outpainting, and generating image-to-image translations using a text prompt. The software's code and model weights are public, so it can operate on most consumer hardware. It needs a GPU with at least 4 GB VRAM to work effectively.

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