Runway Gen-1 | search
Click here to view Runway Gen-1 news from 60+ newspapers.
Bookmark or Share- Selected papers | Runway ResearchTo maintain training efficiency, we initially train a single model, which is then split into specialized models that are trained for the specific stages of the iterative generation process.
- High-Resolution Image Synthesis with Latent Diffusion ModelsOur latent diffusion models (LDMs) achieve highly competitive performance on various tasks, including unconditional image generation, inpainting, and super-resolution, while significantly reducing computational requirements compared to pixel-based DMs.
- The research origins of Stable Diffusion - RunwayPatrick Esser is a Principal Research Scientist at Runway, leading applied research efforts including the core model behind Stable Diffusion, otherwise known as High-Resolution Image Synthesis with Latent Diffusion Models.
- Runway Acceleration ProgramThe Runway Acceleration Program is a full-time, paid position that starts with a 3-month intensive venture dedicated to fostering engineers, propelling them into accomplished machine learning engineer roles within our organization.
- All Publications - RunwayMLGen-1: Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser, Jonathan Granskog, Johnathan Chiu, Parmida Atighehchian, Anastasis Germanidis Runway
More
