VAST open-sources EdenLive: real-time generative rendering where a game engine keeps world state and a 5B/14B video model paints the frames, 24+ FPS at 720P on one RTX 5090 (self-reported)

Why it matters

【Key points】

VAST's Eden world-model team (the company behind Tripo 3D) open-sourced EdenLive on the evening of October 18 (Beijing time), a "real-time generative rendering" system. It splits an interactive world in two: a normal program or game engine (or code written by a coding agent) runs the rules, movement, collisions and world state and outputs a rough reference video; EdenLive then renders that stream, guided by a target first frame and a text prompt, into detailed or restyled video in real time.

VAST reports 24+ FPS at 720P on a single RTX 5090, with minute-long generation. The release includes 5B and 14B weights (fine-tuned from Wan2.2-TI2V-5B and Wan2.1-I2V-14B, each in bidirectional and few-step chunk-autoregressive modes), real-time streaming inference over WebRTC, a game-prototype-turbo skill that turns a prompt into a rough playable game, and a prompt-to-game frontend. Control enters through a post-trained DINOv3 vision encoder.

【Verifiable】

GitHub (code Apache 2.0): https://github.com/VAST-AI-Research/EdenLive

Weights: https://huggingface.co/VAST-AI/EdenLive

Project page: https://vast-eden.ai/?p=edenlive

Tech report: https://assets.vast-eden.ai/assets/edenlive/EdenLive-tech-report.pdf

【Our read】

1. "Program owns state, model owns pixels" is a pragmatic route to controllable, playable world models: game logic can't be broken by hallucination. It contrasts with end-to-end world models like Genie or Odyssey.

2. The 24 FPS / RTX 5090 figures are self-reported; the repo's verified setup lists 80 GB NVIDIA GPUs, so consumer-GPU results await community replication.

3. Code is Apache 2.0, but the Hugging Face weights carry a "mixed" license; check before commercial use.