Framepack AI Features
Fixed-Length Context Compression
Framepack compresses all input frames into fixed-length context 'notes', preventing memory usage from scaling with video length and dramatically reducing VRAM requirements.
Minimal Hardware Requirements
Generate high-quality videos up to 60-120 seconds at 30fps with only 6GB of VRAM. Compatible with RTX 30XX, 40XX, and 50XX series NVIDIA GPUs.
Efficient Generation
Generate frames at approximately 2.5 seconds per frame on RTX 4090 desktop GPUs, with optimization reducing this to 1.5 seconds per frame using teacache.
Strong Anti-Drift Capabilities
Progressive compression and differential handling of frames by importance mitigates the 'drift' phenomenon, ensuring consistent quality throughout long videos.
Multiple Attention Mechanisms
Support for PyTorch attention, xformers, flash-attn, and sage-attention provides flexible optimization options for different hardware setups.
Open-Source and Free
Developed by ControlNet creator Lvmin Zhang and Stanford professor Maneesh Agrawala, Framepack is freely available on GitHub with an active community and rich ecosystem.
What People Are Saying
Check out these tweets from our community about Framepack AI.
Framepack AI FAQs
What is Framepack AI?
Framepack AI is a specialized neural network structure designed for AI video generation using 'next frame prediction' technology. It can progressively generate high-quality videos by compressing input context information to a fixed length, making the computational load independent of video length and significantly reducing memory and computational resource requirements.
What are Framepack AI's hardware requirements?
Framepack AI requires an NVIDIA RTX 30XX, 40XX, or 50XX series GPU with at least 6GB of VRAM. It supports FP16 and BF16 data formats and is compatible with both Windows and Linux operating systems.
How long can videos generated by Framepack AI be?
Framepack AI can generate high-quality videos up to 60-120 seconds long at 30fps, depending on your hardware configuration and the optimization techniques used.
What makes Framepack AI unique?
Framepack AI's main innovation is its fixed-length context compression, which evaluates the importance of input frames and compresses them into fixed-length context 'notes'. This prevents the linear growth of context length with video time that traditional video generation models face, significantly reducing VRAM requirements and computational costs.
Is Framepack AI open-source?
Yes, Framepack AI is fully open-source. Developed by ControlNet creator Lvmin Zhang and Stanford University professor Maneesh Agrawala, the project code and models are publicly available on GitHub, with an active community and rich ecosystem.