Generate long, high-quality videos effortlessly on consumer GPUs with FramePack’s innovative frame compression and anti-drift technology. Experience real-time frame-by-frame video creation that feels as seamless as image diffusion.
Generates videos progressively by predicting each subsequent frame with high accuracy.
Compresses input context to maintain consistent workload regardless of video length, enabling long videos without extra resource cost.
Runs efficiently on consumer-grade GPUs with as little as 6GB VRAM, including laptop RTX 30XX and 40XX series.
Capable of generating videos up to 120 seconds (3600 frames at 30fps) without quality degradation.
Uses bidirectional context to prevent visual quality loss and frame drift over time.
See each second of your video as it generates, allowing immediate feedback and adjustments.
Supports large batch sizes similar to image diffusion models, improving training efficiency and output quality.
Available for Windows and Linux with easy installation and cloud options for users with limited hardware.
Generation speeds of 1.5 to 2.5 seconds per frame on high-end GPUs, with scalable performance on lower-end devices.
Developed by renowned AI researcher lllyasviel, with active GitHub repository and community tutorials.
Everything you need to know about our Image to Prompt technology
FramePack is an AI-powered next-frame prediction neural network designed to generate long, high-quality videos progressively by compressing input frame context to maintain consistent performance.
FramePack requires an Nvidia RTX 30XX, 40XX, or 50XX series GPU with at least 6GB of VRAM. It supports both Windows and Linux operating systems.
FramePack can generate videos up to 120 seconds long at 30 frames per second, totaling 3600 frames, without increasing VRAM usage or slowing down generation.
FramePack uses anti-drift sampling and a frame compression mechanism that allocates more resources to frames closer to the prediction target, preventing quality degradation and forgetting in long videos.
Yes, FramePack provides real-time frame-by-frame previews during generation, allowing you to monitor progress and make adjustments if needed.
Yes, FramePack is optimized to run on laptops with RTX 30XX series GPUs and requires only 6GB VRAM, making high-quality video generation accessible on consumer hardware.
Yes, there are cloud deployment options such as RunPod and Massed Compute for users who want scalable GPU resources or have limited local hardware.
Comprehensive tutorials and installation guides are available on GitHub and YouTube, including step-by-step instructions for Windows local installs and cloud setups.
Yes, FramePack’s official implementation and desktop software are open source and maintained on GitHub by the developer lllyasviel.
FramePack’s unique frame compression and anti-drift techniques allow it to generate long, stable videos efficiently on low VRAM hardware, with real-time previews and consistent quality unmatched by many competitors.