AI generates high-quality images 30 times faster in a single step

news.mit.edu

AI generates high-quality images 30 times faster in a single step

news.mit.edu

ylai@lemmy.ml to

Stable Diffusion@lemmy.mlEnglish · 1 year ago

A new distribution matching distillation (DMD) technique merges GAN principles with diffusion models, achieving 30x faster high-quality image generation in a single computational step and enhancing tools like Stable Diffusion and DALL-E.

You must log in or register to comment.

Chat

Stable Diffusion@lemmy.ml

stablediffusion@lemmy.ml

Create a post

You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !stablediffusion@lemmy.ml

Welcome to the Stable Diffusion community, dedicated to the exploration and discussion of the open source deep learning model known as Stable Diffusion.

Introduced in 2022, Stable Diffusion uses a latent diffusion model to generate detailed images based on text descriptions and can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by text prompts. The model was developed by the startup Stability AI, in collaboration with a number of academic researchers and non-profit organizations, marking a significant shift from previous proprietary models that were accessible only via cloud services.

Visibility: Public

This community can be federated to other instances and be posted/commented in by their users.

21 users / day
21 users / week
21 users / month
21 users / 6 months
0 local subscribers
1.57K subscribers
48 Posts
0 Comments
Modlog

mods:
buda@lemmy.ml