FramePack Enabling Fast Video Generation on Consumer GPUs

What is FramePack?

FramePack introduces a groundbreaking video diffusion technology designed to make high-quality video generation accessible on standard consumer hardware. Its core innovation allows users to run sophisticated video creation processes locally, requiring only a GPU with 6GB of VRAM. This significantly lowers the barrier to entry for AI-driven video production, eliminating the need for expensive cloud processing or high-end GPU rentals.

The technology leverages efficient frame context packing and maintains a constant-length input, enabling next-frame prediction with remarkable temporal consistency. FramePack incorporates anti-drifting technology through bi-directional sampling, ensuring that video quality remains stable even over longer sequences. It supports multimodal inputs, accepting both text prompts and initial images to guide the generation process, offering flexibility for various creative workflows directly on the user's device.

Features

Low VRAM Requirements: Operates on consumer GPUs with just 6GB of VRAM.
Local Execution: Generates videos directly on user hardware, ensuring privacy and no cloud dependency.
Anti-Drifting Technology: Employs bi-directional sampling to maintain consistency in long video sequences.
Frame Context Packing: Efficiently compresses frame information for processing on standard hardware.
Next-Frame Prediction: Generates video sequences frame by frame.
Optimized Performance: Achieves ~1.5 seconds per frame generation on high-end GPUs (with Teacache).
Open Source Access: Provides a fully open-source implementation for community contribution and customization.
Multimodal Input: Supports both text prompts and image inputs for video guidance.

Use Cases

Creating short fashion videos.
Developing product showcase videos.
Generating sequences for travel documentaries.
Producing food exploration content.
Animating sports highlights.
Making creative advertisements.
Visualizing daily life moments.
Generating nature scenery videos.
Prototyping video concepts quickly.
Creating animations for independent projects.
Assisting VFX specialists with concept generation.
Facilitating AI video generation research on standard lab equipment.

FAQs

What are the system requirements for FramePack?

FramePack requires an NVIDIA GPU with at least 6GB VRAM (e.g., RTX 3060), CUDA support, PyTorch 2.6+, and runs on Windows or Linux. An RTX 30 or 40 series GPU with 8GB+ VRAM is recommended for better performance.
How fast can FramePack generate videos?

On high-end GPUs like the RTX 4090 with Teacache optimization, FramePack generates frames at about 1.5 seconds per frame. Generation is 4-8 times slower on laptops with 6GB VRAM.
What is 'frame context packing' in FramePack?

Frame context packing is FramePack's technique to efficiently compress information from previous frames into a constant-length format, enabling consistent video generation without escalating memory needs.
How does FramePack address 'drifting' in video generation?

FramePack uses bi-directional sampling, which references initial frames throughout the generation process to maintain consistent subject identity and scene composition, thus preventing quality degradation over long sequences.