Saiyan-World/goku

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2906 stars · 308 forks observed · 2026-09-27

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

Goku is a family of flow-based (rectified flow Transformer) foundation models for joint image and video generation, released by HKU and ByteDance. The repository provides model code, weights, and inference pipelines for text-to-video, image-to-video, and text-to-image generation.

Use cases

• generate videos from text prompts
• animate a still image into a video
• generate high-quality images from text descriptions
• research rectified flow transformer models for visual generation
• benchmark video generation models on VBench or MovieGenBench

When to choose

• you need state-of-the-art open text-to-video or image-to-video generation
• you are researching flow-based generative models and want strong baselines
• you have GPU resources for running large generative models locally

When to avoid

• you need a lightweight or CPU-only image/video generator
• you require a permissive license for commercial use (no license is specified)
• you only need simple video editing rather than generative synthesis

Facets

library · maturity active

machine-learning deep-learning video-processing image-processing llm-inference deep-learning image-processing artificial-intelligence python text-to-video image-to-video text-to-image rectified-flow diffusion-transformer cvpr2025 foundation-model generative-ai video gpu linux

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