SandAI-org/MAGI-1

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3772 stars · 240 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MAGI-1 is an open-source autoregressive video generation model from Sand.ai, released with Apache-2.0 licensed code and weights. It generates video via chunk-by-chunk autoregressive diffusion, supporting text-to-video, image-to-video, and streaming/continuation generation.

Use cases

• generate videos from a text prompt
• animate a still image into video
• extend or continue an existing video clip
• run a video generation model on my own GPUs
• research autoregressive video diffusion architectures
• build an AI video creation app

When to choose

• you need open weights for video generation you can self-host and fine-tune
• you want streaming or autoregressive video continuation rather than one-shot generation
• you have sufficient GPU resources and want full control over the model

When to avoid

• you only need a hosted API without managing GPUs - use the Sand.ai platform instead
• you lack high-end GPU hardware, as inference is resource-intensive
• you need audio-video joint generation - that is the newer MAGI-2/GAGA line

Facets

library · maturity active

machine-learning deep-learning video-processing llm-inference deep-learning artificial-intelligence image-processing python video-generation autoregressive-model diffusion-models text-to-video moe open-weights video gpu linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SandAI-org/MAGI-1")