Introducing Waypoint-1: Real-time interactive video diffusion from Overworld

Introducing Waypoint-1: Real-time interactive video diffusion from Overworld

Hugging Face Blog 5 min read

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Back to Articles Waypoint-1: Real-time Interactive Video Diffusion from Overworld Published January 20, 2026 Update on GitHub Upvote 38 +32 Andrew Lapp lapp0 Follow guest Louis Castricato LouisCastricato Follow guest Scott Fox ScottieFox Follow guest Shahbuland Matiana shahbuland Follow guest David Rossi xAesthetics Follow guest Waypoint-1 Weights on the Hub Waypoint-1-Small Waypoint-1-Medium (Coming Soon!) Try Out The Model Overworld Stream: https://overworld.stream What is Waypoint-1? Waypoint-1 is Overworld’s real-time-interactive video diffusion model, controllable and prompted via text, mouse, and keyboard. You can give the model some frames, run the model, and have it create a world you can step into and interact with. The backbone of the model is a frame-causal rectified flow transformer trained on 10,000 hours of diverse video game footage paired with control inputs and text captions. Waypoint-1 is a latent model, meaning that it is trained on compressed frames. The standard among existing world models has become taking pre-trained video models and fine-tuning them with brief and simplified control inputs. In contrast, Waypoint-1 is trained from the get-go with a focus on interactive experiences. With other models, controls are simple: you can move and rotate the camera once every few frames, with severe latency issues. With Waypoint-1 you are not limited at all as far as controls are concerned. You can move the camera freely with the mouse, and input any key on th...

Originally published on February 15, 2026. Curated by AI News.

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