jy0205/Pyramid-Flow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3208 stars · 304 forks observed · 2026-08-28

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

Pyramid Flow is the official PyTorch implementation of a training-efficient autoregressive video generation model based on pyramidal flow matching, capable of generating 10-second 768p 24fps videos from text or images. It includes inference code with multi-GPU and CPU-offloading support, plus training code for the VAE and DiT finetuning.

Use cases

• generate videos from text prompts
• image-to-video generation
• generate 10 second 768p videos on limited GPU memory
• finetune a video diffusion model on custom data
• train a video VAE
• run video generation across multiple GPUs

When to choose

• you need open-source text-to-video or image-to-video generation with permissive MIT licensing
• you have limited GPU memory thanks to CPU offloading support
• you want to finetune or retrain video generation components yourself

When to avoid

• you need production-grade video generation with commercial support
• you have no GPU available
• you need real-time video generation

Facets

library · maturity active

machine-learning deep-learning video-processing image-processing llm-inference deep-learning image-processing artificial-intelligence python video-generation flow-matching diffusion-models text-to-video image-to-video autoregressive research-code iclr-2025 video gpu linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jy0205/Pyramid-Flow")