stepfun-ai/Step-Video-T2V

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3187 stars · 340 forks observed · 2026-08-28

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

Step-Video-T2V is an open-source text-to-video generation model from StepFun, released with inference code and pretrained weights (including a Turbo variant). It generates videos from text prompts using a deep generative model.

Use cases

• generate videos from text prompts
• run a text-to-video diffusion model locally
• download open-source video generation model weights
• build an image-to-video pipeline
• experiment with state-of-the-art video synthesis models

When to choose

• you need a self-hosted text-to-video model with open weights
• you want an MIT-licensed video generation model to fine-tune or extend
• you need fast inference via the Turbo variant

When to avoid

• you lack a high-VRAM GPU for inference
• you need a hosted API rather than running models yourself
• you need video editing rather than generation

Facets

library · maturity active

video-processing machine-learning deep-learning llm-inference artificial-intelligence deep-learning image-processing python text-to-video video-generation diffusion-model generative-ai model-weights video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="stepfun-ai/Step-Video-T2V")