tianweiy/CausVid

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1426 stars · 88 forks observed · 2026-08-28

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

CausVid is a research codebase implementing a fast autoregressive video diffusion model distilled from a bidirectional diffusion transformer, enabling few-step text-to-video generation. It supports streaming generation at ~9.4 FPS on a single GPU, plus zero-shot video-to-video translation, image-to-video, and dynamic prompting.

Use cases

• generate videos from text prompts in a few steps
• stream high-quality video generation in real time on a single GPU
• translate video to video with a diffusion model
• generate video from a single image
• change prompts dynamically during streaming video generation
• distill a 50-step video diffusion model into a 4-step generator

When to choose

• you need fast, few-step text-to-video generation rather than slow multi-step diffusion
• you want streaming/autoregressive video synthesis with low latency
• you are researching video diffusion distillation or causal attention in diffusion transformers

When to avoid

• you need a polished production-ready video generation product rather than research code
• you lack a CUDA GPU or cannot download the Wan2.1 base model checkpoints
• you need a stable API since the repo is a work in progress with frequent updates

Facets

library · maturity active

machine-learning deep-learning video-processing llm-inference deep-learning artificial-intelligence computer-vision python video-diffusion text-to-video distillation autoregressive diffusion-transformer streaming-generation research-code video gpu linux

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markdown · JSON · MCP: product_card(name="tianweiy/CausVid")