PKU-YuanGroup/Helios

Health v2 · maintenance only

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2076 stars · 166 forks observed · 2026-08-28

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

Helios is a 14B autoregressive diffusion model for real-time, minute-scale video generation supporting text-to-video, image-to-video, and video-to-video tasks. It achieves 19.5 FPS on a single H100 GPU without conventional anti-drifting heuristics or standard acceleration techniques.

Use cases

• generate long videos in real time from a text prompt
• turn a single image into a minute-long video
• real-time interactive video generation on a single GPU
• video-to-video restyling with a diffusion model
• build an interactive world model that streams frames
• research on long-video coherence without anti-drifting tricks

When to choose

• you need high-quality minute-scale video generation at real-time frame rates
• you want a single 14B model handling T2V, I2V, and V2V
• you have an H100 GPU or Ascend NPU and want efficient large-model inference
• you are researching autoregressive diffusion video models

When to avoid

• you only need lightweight or CPU-based video generation
• you lack a high-end GPU (H100-class) for real-time performance
• you need a turnkey end-user video app rather than a model and codebase

Facets

library · maturity active

video-processing machine-learning deep-learning llm-inference deep-learning artificial-intelligence gpu-computing python diffusion-models text-to-video image-to-video video-to-video real-time-generation world-model autoregressive video-generation video gpu linux

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