dreamzero0/dreamzero

Health v2 · maintenance only

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2593 stars · 226 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DreamZero is NVIDIA's World Action Model (WAM) that jointly predicts future video and actions from a pretrained video diffusion backbone, enabling zero-shot robot policies with real-time closed-loop control. The repository provides pretrained checkpoints, distributed WebSocket inference servers, simulation and real-robot evaluation harnesses, and LoRA/full fine-tuning code for adapting to new robot embodiments.

Use cases

• run zero-shot robot policies on unseen tasks
• serve a video diffusion policy over websocket for real-time robot control
• fine-tune a world action model on a new robot embodiment with minutes of data
• evaluate robot policies in DROID simulation and RoboArena
• post-train DreamZero-AgiBot on play data for pick-and-place
• generate and save rollout videos from a robot policy

When to choose

• you need state-of-the-art zero-shot or few-shot robot manipulation policies
• you want to adapt a generalist policy to a custom robot with minimal demonstration data
• you need real-time (7Hz) closed-loop control from a large video diffusion model on GB200/H100 GPUs
• you are researching world models, VLA/WAM policies, or cross-embodiment transfer

When to avoid

• you lack high-end NVIDIA GPUs (GB200/H100) for inference or training
• you need a lightweight plug-and-play robotics library rather than a research codebase
• your task is outside robot manipulation or you have no robot/simulation setup
• you need production-supported software with long-term stability guarantees

Facets

framework · maturity active

machine-learning deep-learning llm-inference video-processing robotics simulation robotics machine-learning deep-learning artificial-intelligence autonomous-vehicles simulation python world-action-model video-diffusion robot-policy vla zero-shot-policy fine-tuning websocket-inference-server cross-embodiment-transfer nvidia linux gpu docker

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