Stability AI Stable Diffusion AI technology Top Builders

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Stable Diffusion

Latent diffusion models (LDMs) are a type of image generation technique that work by iteratively "de-noising" data in a latent representation space, and then decoding the representation into a full image. This is in contrast to other popular image synthesis methods such as generative adversarial networks (GANs) and the auto-regressive technique used by DALL-E. The Stable Diffusion model is created by a collaboration between engineers and researchers from CompVis, Stability AI, and LAION and released under a Creative ML OpenRAIL-M license, wich means that it can be used for commercial and non-commercial purposes.

The release of this file is the culmination of many hours of collective effort to compress the visual information of humanity into a few gigabytes. Furthermore, the model also supports image-to-image style transfer, as well as upscaling and generating an images from a simple sketch. Included is also an AI-based Safty Classifier, which understands concepts and other factors in generations to remove outputs that may not be desired by the model user.

Relese dateAugust 22, 2022
Research Paper
TypeDeep learning text to image model

Stable diffusion Tutorials

Knowledge Base

Find out how it is working!

  • Research Paper The Stable Diffusion paper describes the model and its training process in detail.
  • Stable Diffusion Demo You can play around with Stable Diffusion on Hugging Face
  • GitHub Repository Visit the Stable Diffusion v2 repository on GitHub
  • dreamstudio Online stable diffusion interface with a lot of optional configurations


There are plenty of Stable Diffusion models, which are taiolred to deliver various art styles, animation styles and more. We encourage you to experiment with many of them and choose the one which you like the most. Here are some of the finest ones:


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