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Streaming Code World Model

Research code that streams video generation chunk by chunk from a rough 3D proxy, built on Code World Model.

Available in EU3D & WorldsVideo GenerationModel

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Streaming Code World Model at a glance

What is Streaming Code World Model?
Streaming Code World Model is a model. Research code that streams video generation chunk by chunk from a rough 3D proxy, built on Code World Model.
Does Streaming Code World Model work in the EU?
Available in the EU. Code and checkpoints are publicly downloadable from GitHub and Hugging Face with no regional restriction mentioned; the license was not stated, so downstream terms (CWM, MiniMax-H3) should be checked. Last verified 14 Nov 2026.
How much does Streaming Code World Model cost?
Open source. Code and LoRA checkpoints are free to download; requires H200-class GPU hardware.
Where was Streaming Code World Model shown?
In 1 creator video by AI Search. Most recently by AI Search on 18 Oct 2026, at 31:07 in “Quantum breakthrough, Gemini 4 Argon, MOSS Image, KLING 4, OpenAI spy, Muse Wonder: AI NEWS”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Streaming Code World Model is a research implementation that turns a streaming version of Code World Model (CWM) into a causal video generator. Each 0.71 s chunk is generated from the start image, the proxy (a coarse 3D scene rendering) so far, and earlier chunks, with no access to future frames. It uses a sliding 6-chunk attention span with KV cache reuse via RoPE rotation.

Training uses diffusion forcing with a noisy history to slow long-horizon drift, followed by 4-step DMD self-forcing distillation. The README reports a 4-step model rendering a chunk in 5.1 s on one NVIDIA H200 at 1344×768, about 9× faster than 35-step sampling, with lower pixel MSE on four held-out CARLA clips. It is not yet real time. The training data are 342 CARLA clips (3.7 h).

Checkpoints are LoRAs for the released MiniMax-H3 model, hosted on Hugging Face, with sampling and training scripts in the repository. Inference needs an H200-class GPU (123 GB peak in bf16, 108 GB with FP8); 80 GB GPUs are not supported yet. The Slurm scripts assume 8-GPU nodes. The repository license was not stated in the material provided.

Key features
  • Causal chunk-by-chunk streaming video generation from a coarse 3D proxy
  • 4-step DMD self-forcing distillation, 5.1 s per 0.71 s chunk on one H200
  • Diffusion forcing with noisy history to reduce long-horizon drift
  • Sliding 6-chunk attention span with RoPE-based KV cache reuse
  • Optional FP8 and FlashAttention-3; training and sampling scripts released
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