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FastVideo
FastVideo is a unified post-training and real-time inference framework for accelerated video generation.
FastVideo is a unified post-training and real-time inference framework designed for accelerated video generation and editing. It supports bidirectional and autoregressive models, full finetuning, LoRA finetuning, and multiple hardware platforms including Linux, Windows, and MacOS. The platform incorporates advanced optimizations like Video Sparse Attention, Distribution Matching Distillation, and sequence parallelism for distributed inference. It features Dreamverse for realtime video generation and streaming, deployable on local GPUs, self-hosted servers, Docker, or Modal. The framework is built for developers and researchers working on state-of-the-art open video DiTs and vision models.
FastVideo at a glance
- Best for: Software engineer
- Runs on: Linux, Windows, macOS, API, CLI, self-hosted, open source
- Pricing: Free
- Released: October 2024
- Category: AI video tool
- Website: github.com/hao-ai-lab/FastVideo
Key features
- End-to-end post-training support
- Full finetuning and LoRA finetuning
- Data preprocessing pipeline
- Distribution Matching Distillation
- Sparse attention and distillation
- Sequence parallelism for inference
- Python API and CLI support
- Realtime video generation
Use it for
- Finetuning open video DiTs
- Generating accelerated videos
- Running real-time video streaming
- Distilling diffusion models
Alternatives to FastVideo
- FreeVideo — Runs MiniMax H3 locally on consumer GPUs with as little as 8 GB of VRAM.
- TurboDiffusion — Accelerates video diffusion generation by up to 200 times on single GPUs.
- Bernini — Combines a semantic planner and DiT renderer for video generation and editing tasks.
- Wan — Provides native 30-second video generation and pixel-perfect consistency.
- FlashVSR Plus — Enables spatially untiled 4K video super-resolution on a single GPU.
- Claude Real Video — Analyzes videos locally to make visual content readable by any LLM.
- H3.c — Runs native MiniMax-H3 video and audio generation locally on Apple Silicon.
- OneStreamer — It jointly learns to record evidence and respond through proactive generation.
- Self Gradient Forcing Plus — It enables continuous video generation for up to 24 hours from 5-second training windows.
- Pegasus 1.6 by TwelveLabs — Converts raw egocentric video into robot-ready training datasets.
- ATAS — Maintains persistent spatial and event memory across shots.
- TwelveLabs — It indexes video content for natural language search without manual metadata tags.
All FastVideo alternatives