A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

Google Research's Retrieve-for-Train uses RL once to train a 53.9M-parameter diffusion retriever, delivering 12× to 20× ...

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...

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Diffusion models are a category of generative AI that excels at creating images, audio, video and other types of data by using a two-step process: forward diffusion and reverse diffusion. The first ...

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...

Stability AI’s 2022 release of Stable Diffusion significantly impacted the image-generating landscape, becoming the basis for many video and image generators. Now, the company is releasing a ...

Uno combines lightweight diffusion adapters with autoregressive models to achieve up to 2.5x faster LLM inference without quality loss, ...

Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink to spread through water. Ask DALL·E 2, an image generation system created by OpenAI, ...

With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to generate a series of absurd, breathtaking, and ...