Video models · StepFun
Step-Video T2V (30B)
- Backbone
- 30.0B
- Native output
- 992×544, 204 frames
- Default steps
- 50
- License
- mit
- Released
- 2025-02
How to run it
Original weights · Hugging Face
Full-precision files from StepFun, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.
huggingface.co/stepfun-ai/stepvideo-t2v (opens in a new tab)
Official repo · GitHub
Reference code, inference scripts and docs from StepFun. The weights themselves download from Hugging Face.
github.com/stepfun-ai/Step-Video-T2V (opens in a new tab)
git clone https://github.com/stepfun-ai/Step-Video-T2VMemory needed
Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.
| Precision | Everything on GPU | Text encoder offloaded | Sequential offload | Download |
|---|---|---|---|---|
FP16 | 78.2 GB | 75.5 GB | 35.5 GB | Original weights (opens in a new tab) |
FP8 | 46.8 GB | 45.5 GB | 25.0 GB | Original weights (opens in a new tab) |
Components
- Backbone: 30B
- VAE: 0.5B
- Step-LLM: 1B
- Hunyuan CLIP: 0.35B
Best hardware for Step-Video T2V (30B)
The least expensive GPU in our catalog that runs it without offloading is the Intel Arc Pro B70 (launch price $949) at FP8.
| Quality | Hardware | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA RTX PRO 6000 Blackwell |
FP16 | 78.2 GB / 96.0 GB | 37.9 min | Slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA GH200 Grace Hopper (96 GB GPU) |
FP16 | 78.2 GB / 96.0 GB | 36.0 min | Slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H100 NVL |
FP16 | 78.2 GB / 94.0 GB | 39.0 min | Slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA RTX PRO 6000 Blackwell Server Edition |
FP16 | 78.2 GB / 96.0 GB | 39.0 min | Slow |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H100 80GB SXM |
FP8 | 46.8 GB / 80.0 GB | 32.4 min | Slow |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H800 80GB SXM |
FP8 | 46.8 GB / 80.0 GB | 32.4 min | Slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H200 141GB SXM |
FP16 | 78.2 GB / 141 GB | 36.0 min | Slow |
| 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H200 NVL |
FP16 | 78.2 GB / 141 GB | 39.0 min | Slow |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA H100 80GB PCIe |
FP8 | 46.8 GB / 80.0 GB | 39.6 min | Slow |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 74/100 (quality, fit, speed and memory use) sets the ranking. | NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition |
FP8 | 46.8 GB / 96.0 GB | 37.5 min | Slow |
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.









