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Video generation

Framepack

Video diffusion tech for consumer GPUs.

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Video diffusion AI video generation Frame context packing
More categories (7)
Low VRAM Consumer GPU Next-frame prediction Anti-drifting open-source Local video generation Image-to-video
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Verdict

A quick read before you dig into the full page.

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Video diffusion tech for consumer GPUs
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Video diffusion tech for consumer GPUs

Overview

FramePack is a groundbreaking video diffusion technology that enables high-quality video generation on consumer GPUs with just 6GB VRAM. By efficiently packing frame context and using constant-length input, it makes next-frame prediction accessible to users with limited VRAM. It runs locally and maintains consistent quality over long video sequences with its bi-directional sampling approach.

Framepack screenshot

Access & connections

Where you can use Framepack.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Low VRAM Requirements
  • Anti-Drifting Technology
  • Local Execution
  • Frame Context Packing
  • Bi-Directional Sampling
  • Optimized Performance
  • Open Source Access
  • Multimodal Input

FAQ 9

What is FramePack?
FramePack is a groundbreaking video diffusion technology that enables high-quality video generation on consumer GPUs with just 6GB VRAM. By efficiently packing frame context and using constant-length input, it makes next-frame prediction accessible to users with limited VRAM. It runs locally and maintains consistent quality over long video sequences with its bi-directional sampling approach.
How to use FramePack?
To use FramePack, install it via GitHub, define an initial frame (either an image or generated from a text prompt), create motion prompts describing the desired movement, and then generate and review the video frame by frame.
What exactly is FramePack and how does it work?
FramePack is an open-source video diffusion technology that enables next-frame prediction on consumer GPUs. It works by efficiently packing frame context information and using a constant-length input format, allowing it to generate high-quality videos frame-by-frame even on hardware with limited VRAM.
What are the system requirements for FramePack?
FramePack requires a NVIDIA GPU with at least 6GB VRAM (like RTX 3060), CUDA support, PyTorch 2.6+, and runs on Windows or Linux. For optimal performance, an RTX 30 or 40 series GPU with 8GB+ VRAM is recommended.
How fast can FramePack generate videos?
On high-end GPUs like the RTX 4090, FramePack can generate frames at approximately 1.5 seconds per frame with Teacache optimization. On laptops with 6GB VRAM, generation is 4-8x slower but still usable for prototyping.
Is FramePack free to use?
FramePack offers a free open-source version with full functionality. Premium tiers provide additional features, priority support, and extended capabilities for professional users and teams.
What is 'frame context packing' in FramePack?
Frame context packing is FramePack's core innovation that efficiently compresses information from previous frames into a constant-length format. This allows the model to maintain temporal consistency without requiring increasing memory as the video lengthens.
How does FramePack compare to other video generation tools?
Unlike cloud-based solutions, FramePack runs entirely locally on your hardware. While some cloud services may offer faster generation, FramePack provides superior privacy, no usage limits, and the ability to generate longer sequences with consistent quality.
What is 'drifting' in video generation and how does FramePack solve it?
Drifting refers to the gradual degradation of video quality and consistency over long sequences. FramePack addresses this with bi-directional sampling that maintains reference to initial frames, ensuring consistent subject identity and scene composition throughout the video.
Framepack
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