| # WaveForcing-T2V-1.3B-5step-Preview |
|
|
| Preview release of the **WaveForcing** 1.3B text-to-video model (5 denoising steps). |
| Trained from Wan2.1-T2V-1.3B with Rolling-Forcing + DMD distillation. This is the |
| raw generator_ema checkpoint (FP32, FSDP layout) converted to a flat |
| `model.safetensors` (BF16, 825 tensors) for preview purposes. |
| |
| ## VBench scores |
| |
| | Metric | Rolling Forcing | Rolling Forcing (causal inference) | Wave Forcing | |
| |---|---|---|---| |
| | Temporal Flickering | 0.976686 | 0.970226 | 0.976579 | |
| | Subject Consistency | 0.971557 | 0.966446 | 0.980122 | |
| | Background Consistency | 0.961879 | 0.958950 | 0.966289 | |
| | Motion Smoothness | 0.987435 | 0.983091 | 0.984803 | |
| | Aesthetic Quality | 0.532904 | 0.528120 | 0.530068 | |
| | Imaging Quality | 0.707718 | 0.673502 | 0.711773 | |
| | Quality Drift | 0.01525 | 0.02915 | 0.00016 | |
| |
| Wave Forcing improves subject/background consistency and quality drift over the |
| Rolling-Forcing baselines. |
| |
| ## Generation throughput (8 GPUs, 399 latent frames / 100 s video) |
| |
| | Topology | Single-GPU baseline | Fastest config | Steady fps (p50) | E2E fps | Speedup | |
| |---|---|---|---|---|---| |
| | 4+3 (4-step) | 15.0 fps (106.5 s) | 1.3B sage causal paged | 125.7 | 117.7 | 7.9× | |
| | 5+2 (5-step) | 11.9 fps (134.4 s) | 1.3B bf16 causal paged | 86.5 | 84.2 | 7.1× | |
| |
| Notes: |
| |
| - E2E fps = 1596 pixel frames / wall time (diffusion + VAE decode, video saved). |
| Steady fps = 12×1000 / p50 tick, steady-state window. |
| - Single-GPU baseline: full Rolling-Forcing generation (diffusion + VAE) on one GPU. |
| - On 5+2, sage/sagefp8 attention reaches ~127 fps steady state, but the 2-stage VAE |
| is a structural bottleneck, capping E2E at ~54 fps; bf16 causal paged is the best |
| E2E config there. |
| - Real generation runs (BF16 causal overlap, 399 frames): 83.0 fps E2E on 4+3, |
| 81.9 fps E2E on 5+2. |
| |
