# Framepack AI: The Revolutionary AI Video Generation Model
Framepack AI is a breakthrough neural network structure for AI video generation. It employs innovative "next frame prediction" technology combined with a unique fixed-length context compression mechanism, enabling users to generate high-quality, high-framerate (30fps) videos up to 120 seconds long with very low hardware barriers (requiring only consumer-grade NVIDIA GPUs with 6GB of VRAM).
## What Makes Framepack AI Unique?
The core innovation of Framepack AI lies in its **fixed-length context compression** technology. In traditional video generation models, context length grows linearly with video duration, leading to a sharp increase in VRAM and computational resource demand. Framepack AI effectively solves this challenge by intelligently evaluating the importance of input frames and compressing this information into fixed-length context 'notes'. This significantly reduces the demand for VRAM and computational resources, making it possible to generate long videos on consumer hardware.
## Key Features
* **Fixed-Length Context Compression**:
Intelligently compresses all input frames into fixed-length context information, preventing memory usage from scaling with video length and dramatically reducing VRAM requirements.
* **Minimal Hardware Requirements**:
Requires an NVIDIA RTX 30XX, 40XX, or 50XX series GPU with at least 6GB of VRAM. Compatible with both Windows and Linux operating systems, supporting FP16 and BF16 data formats.
* **Efficient Generation**:
Generates frames at approximately 2.5 seconds per frame on RTX 4090 desktop GPUs, with optimization (like teacache) reducing this to 1.5 seconds per frame.
* **Strong Anti-Drift Capabilities**:
Progressive compression and differential handling of frames by importance mitigates the 'drift' phenomenon common in long video generation, ensuring consistent quality throughout.
* **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 University professor Maneesh Agrawala. Framepack AI is a fully open-source project with its code and models publicly available on GitHub, backed by an active community and rich ecosystem.
## Getting Started with Framepack AI
You can download Framepack AI from its official GitHub repository. It can be used as a standalone application or integrated with platforms like ComfyUI. The community, such as RunningHub, has also created a Framepack plugin for zero-threshold usage.
Framepack AI is dedicated to advancing AI video generation technology. Join us in exploring the future of video creation!
# Framepack AI: The Revolutionary AI Video Generation Model
Framepack AI is a breakthrough neural network structure for AI video generation. It employs innovative "next frame prediction" technology combined with a unique fixed-length context compression mechanism, enabling users to generate high-quality, high-framerate (30fps) videos up to 120 seconds long with very low hardware barriers (requiring only consumer-grade NVIDIA GPUs with 6GB of VRAM).
## What Makes Framepack AI Unique?
The core innovation of Framepack AI lies in its **fixed-length context compression** technology. In traditional video generation models, context length grows linearly with video duration, leading to a sharp increase in VRAM and computational resource demand. Framepack AI effectively solves this challenge by intelligently evaluating the importance of input frames and compressing this information into fixed-length context 'notes'. This significantly reduces the demand for VRAM and computational resou...
Formerly known as NextAuth. It's is an open-source authentication library originally built for NextJS. Auth.js is free to use and comes with over 80 integrations for various third-party identity providers such as Google, Facebook, Auth0, Apple etc.
You can use it with your own database if you choose to. It works with MySQL, Postgres, MSSQL and MongoDB.
Auth.js is compatible with Next.js, SvelteKit and SolidStart as of March 2024.
Formerly known as NextAuth. It's is an open-source authentication library originally built for NextJS. Auth.js is free to use and comes with over 80 integrations for various third-party identity providers such as Google, Facebook, Auth0, Apple etc.
You can use it with your own database if you choose to. It works with MySQL, Postgres, MSSQL and MongoDB.
Auth.js is compatible with Next.js, SvelteKit and SolidStart as of March 2024.
Framepack AI is specifically designed for AI video generation, utilizing advanced neural network technology to create high-quality videos with minimal hardware requirements. It excels in generating long videos efficiently, making it ideal for developers focused on video content creation. In contrast, Auth.js is an authentication library aimed at simplifying user authentication processes across various platforms. Therefore, if your primary goal is video generation, Framepack AI is the better choice, while Auth.js is more suitable for authentication needs.
Yes, Framepack AI and Auth.js can be used together in a project. Framepack AI focuses on video generation, while Auth.js provides authentication solutions. Developers can integrate both to create applications that require user authentication and video content generation, leveraging the strengths of each tool.
Auth.js offers more flexibility in terms of integration, as it supports over 80 third-party identity providers and can be used with various databases like MySQL, Postgres, MSSQL, and MongoDB. It is compatible with multiple frameworks, including Next.js, SvelteKit, and SolidStart. Framepack AI, while open-source and flexible for video generation, is more specialized and does not have the same level of integration options as Auth.js.
Framepack AI is a revolutionary AI video generation model that utilizes a unique 'next frame prediction' technology along with fixed-length context compression. This allows users to create high-quality videos at 30 frames per second (fps) for up to 120 seconds, all while requiring only consumer-grade NVIDIA GPUs with 6GB of VRAM.
Key features of Framepack AI include fixed-length context compression to reduce VRAM requirements, minimal hardware requirements (NVIDIA RTX 30XX, 40XX, or 50XX series GPUs), efficient frame generation at approximately 2.5 seconds per frame, strong anti-drift capabilities for consistent video quality, support for multiple attention mechanisms, and being open-source and free.
Framepack AI requires an NVIDIA RTX 30XX, 40XX, or 50XX series GPU with at least 6GB of VRAM. It is compatible with both Windows and Linux operating systems and supports FP16 and BF16 data formats.
Framepack AI generates frames efficiently at approximately 2.5 seconds per frame on RTX 4090 desktop GPUs. With optimizations like teacache, this can be reduced to 1.5 seconds per frame, making the video generation process faster and more efficient.
Framepack AI was developed by Lvmin Zhang, the creator of ControlNet, and Maneesh Agrawala, a professor at Stanford University. It is a fully open-source project with its code and models available on GitHub.
You can download Framepack AI from its official GitHub repository. It can be used as a standalone application or integrated with platforms like ComfyUI. Additionally, the community has created a Framepack plugin for easy usage.
Auth.js, formerly known as NextAuth, is an open-source authentication library originally built for NextJS. It is free to use and offers over 80 integrations for various third-party identity providers such as Google, Facebook, Auth0, and Apple. Auth.js can also be used with your own database, supporting MySQL, Postgres, MSSQL, and MongoDB.
As of March 2024, Auth.js is compatible with Next.js, SvelteKit, and SolidStart.
Yes, you can use Auth.js with your own database. It supports MySQL, Postgres, MSSQL, and MongoDB.
Auth.js offers a variety of features including over 80 integrations with third-party identity providers like Google, Facebook, Auth0, and Apple. It is also compatible with multiple platforms such as Next.js, SvelteKit, and SolidStart, and supports various databases including MySQL, Postgres, MSSQL, and MongoDB.
