FramePack LogoFramePack
2025
πŸŽ‰ FramePack Now Available

FramePack β€” Enabling Fast Video Generation on Consumer GPUs

FramePack is a groundbreaking video diffusion technology that enables high-quality video generation on consumer GPUs with just 6GB VRAM. Experience the future of AI video creation with our revolutionary frame context packing approach.

from 99+ happy users

Featured Showcase

Explore stunning video examples generated by FramePack, hover or click to view dynamic effects

Fashion Short Video

Fashion Short Video

Hover to view video

Product Showcase

Product Showcase

Hover to view video

Travel Documentary

Travel Documentary

Hover to view video

Food Exploration

Food Exploration

Hover to view video

Sports Moments

Sports Moments

Hover to view video

Creative Ads

Creative Ads

Hover to view video

Daily Life

Daily Life

Hover to view video

Nature Scenery

Nature Scenery

Hover to view video

Revolutionizing Video Diffusion

FramePack Platform
placeholder hero

What is FramePack?

FramePack is a groundbreaking video diffusion technology that enables next-frame prediction on consumer GPUs. By efficiently packing frame context and using constant-length input, it makes high-quality video generation accessible to users with just 6GB VRAM.

  • Low VRAM Requirements
    Generate high-quality videos on consumer GPUs with just 6GB of VRAM - perfect for laptops and mid-range systems
  • Anti-Drifting Technology
    Maintain consistent quality over long video sequences with our bi-directional sampling approach
  • Local Execution
    Generate videos directly on your hardware with no need for cloud processing or expensive GPU rentals
FramePack Benefits

Why Choose FramePack

Experience the future of AI video generation with FramePack, bringing professional-quality video creation capabilities to consumer hardware.

Run on laptops and desktops with 6GB+ VRAM, democratizing video generation technology

Accessible Hardware Requirements
Next-Frame Prediction
Open Source Implementation

How FramePack Works

FramePack provides an intuitive workflow for generating high-quality video content:

FramePack Key Features

Discover how FramePack revolutionizes video generation with AI assistance.

Frame Context Packing

Efficiently compress and utilize frame context information to enable processing on consumer hardware

Local Video Generation

Generate videos directly on your device without sending data to external servers

Bi-Directional Sampling

Maintain consistency across long video sequences with our anti-drifting technology

Optimized Performance

Generate frames at approximately 1.5 seconds per frame on high-end GPUs with Teacache optimization

Open Source Access

Fully open-source implementation that allows for customization and community contributions

Multimodal Input

Support for both text prompts and image inputs to guide your video generation

Stats

FramePack Adoption

FramePack is quickly becoming the preferred video generation solution for creators worldwide.

Active Users

150K+

Creators using FramePack daily

Video Quality Rating

98.5%

Satisfaction with generated video quality

Hardware Accessibility

6GB

Minimum VRAM required for operation

Testimonial

What Creators Say About FramePack

Hear from creators using FramePack for their video generation projects.

Emily Johnson

Independent Animator

FramePack has transformed how I create animations. Being able to generate high-quality video on my laptop means I can work from anywhere, and the results are impressive enough for client presentations.

Michael Rodriguez

VFX Specialist

As someone who works with multiple creative teams, FramePack has been a game-changer. It provides a fast, efficient way to prototype video concepts without waiting for render farms, saving us countless hours in production.

Sarah Chen

AI Researcher

This tool has transformed how we approach video generation research. FramePack's innovative frame context packing allows us to experiment with longer sequences on standard lab equipment, dramatically accelerating our research cycle.
FAQ

FramePack Frequently Asked Questions

Have another question about FramePack? Contact our support team.

1

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.

2

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.

3

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.

4

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.

5

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.

6

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.

7

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.