Video Generation Python Packages

sageattention

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

st-attn

A unified inference and post-training framework for accelerated video generation.

vsa

A unified inference and post-training framework for accelerated video generation.

vllm-omni

A framework for efficient model inference with omni-modality models

cd-fvd

[CVPR 2024] On the Content Bias in Fréchet Video Distance

videopython

Video generation and processing library.

imagine-mcp

Image and video understanding + generation for AI agents -- across Gemini, OpenAI, and Grok.

fastvideo-kernel

A unified inference and post-training framework for accelerated video generation.

mcp-veo

MCP server for Google Veo video generation via Ace Data Cloud.

mcp-sora

MCP server for OpenAI Sora video generation via Ace Data Cloud.

mcp-luma

MCP server for Luma AI video generation via Ace Data Cloud.

mcp-seedance

MCP server for ByteDance Seedance video generation via Ace Data Cloud.

magvit2-pytorch

Implementation of MagViT2 Tokenizer in Pytorch

mcp-hailuo

MCP server for Hailuo (MiniMax) AI video generation via AceDataCloud API

mcp-wan

MCP server for Wan AI video generation via AceDataCloud API

mcp-kling

MCP server for Kling AI video generation via AceDataCloud API

aquiles-image

A high-performance, memory-efficient inference server for diffusion models, compatible with the OpenAI client

vbench

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

genblaze-core

Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.

fastvideo

A unified inference and post-training framework for accelerated video generation.

dgenerate

dgenerate is a scriptable command line tool (and library) for generating images and animation sequences using stable diffusion and related techniques, with an accompanying GUI scripting environment.

video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

metaai-sdk

FastAPI wrapper for Meta AI with chat, image generation & video generation. Easy deployment with cookie-based auth. 🚀

genblaze-s3

Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.