| --- |
| tags: |
| - video-generation |
| - world-model |
| - lora |
| --- |
| |
| # Streaming Code World Model |
|
|
| LoRA checkpoints for [Streaming Code World Model](https://github.com/TingtingLiao/streaming-code-world-model): causal, |
| chunk-by-chunk video generation from a live proxy, on top of the released |
| [Code World Model](https://github.com/buaacyw/code-world-model) (MiniMax-H3 Ref2VA + CWM LoRA). Both files are LoRAs |
| for the released MiniMax-H3 model; install the CWM release first (see the GitHub README). |
|
|
| | file | model | sampling | CARLA MSE ↓ | s / chunk (H200) | |
| |:---|:---|:---|---:|---:| |
| | `streaming_df.safetensors` | streaming diffusion forcing | `--steps 35` | 2231 | 47.9 | |
| | `streaming_dmd_4step.safetensors` | 4-step DMD, the streaming model as teacher | `--steps 4 --rule x0 --shift 5 --kv-reuse` | 1660 | 5.1 | |
|
|
| ```bash |
| hf download Luffuly/streaming-code-world-model --local-dir ckpt |
| EVAL_ARGS="--steps 4 --rule x0 --shift 5 --kv-reuse" \ |
| sbatch scripts/eval/eval.sbatch ckpt/streaming_dmd_4step.safetensors out/ clip_0048 |
| ``` |
|
|
| Inference runs on one NVIDIA H200 (141 GB); peak memory 123 GB (bf16), 108 GB (`--fp8`). |
|
|
