OpenAI is taking a new approach to generating media that it says is 50 times faster than the models commonly used today. Called sCM, the approach is a “consistency model,” a variation on the diffusion method used by many leading systems. OpenAI claims its new model is ideal for training for large scale datasets and generating video, audio and images that are of “comparable sample quality to leading diffusion models.” Such models often require hundreds of steps, creating challenges when it comes to real-time applications. OpenAI aims to change this with a faster system that requires less power. Continue reading OpenAI: sCM Generates Media 50x Faster Than Other Models

Generative video models seem to be debuting daily. Pyramid Flow, among the latest, aims for realism, producing dynamic video sequences that have temporal consistency and rich detail while being open source and free. The model can create clips of up to 10 seconds using both text and image prompts. It offers a cinematic look, supporting 1280×768 pixel resolution clips at 24 fps. Developed by a consortium of researchers from Peking University, Beijing University and Kuaishou Technology, Pyramid Flow harnesses a new technique that starts with low-resolution video, outputting at full-res only at the end of the process. Continue reading Pyramid Flow Introduces a New Approach to Generative Video

Researchers from the Massachusetts Institute of Technology and Adobe have unveiled a new AI acceleration tool that makes generative apps like DALL-E 3 and Stable Diffusion up to 30x faster by reducing the process to a single step. The new approach, called distribution matching distillation, or DMD, maintains or enhances image quality while greatly streamlining the process. Theoretically, the technique “marries the principles of generative adversarial networks (GANs) with those of diffusion models,” consolidating “the hundred steps of iterative refinement required by current diffusion models” into one step, MIT PhD student and project lead Tianwei Yin says. Continue reading New Tech from MIT, Adobe Advances Generative AI Imaging