To install Frame Pack, you have two options:

1. One-Click Installer (for Patreon Supporters):

   • Download the one-click installer file from your Patreon post.
   • Extract the file to a new folder on your computer.
   • Double-click the installer file, and it will guide you through the installation process.
   • Follow the on-screen instructions, including installing the CUDA Toolkit 12.6.
   • Once the installation is complete, run the update.bat file to update Frame Pack to the latest version.
   • Finally, run the run.bat file to start the Frame Pack web UI.

2. Manual Installation:

   • Go to the Frame Pack GitHub repository and download the archive.
   • Extract the downloaded archive.
   • Open a command prompt and run nvcc --version to determine your CUDA version.
   • Download the appropriate Sage Attention 2 file for your CUDA version and Python 3.10.
   • Copy the downloaded files to the system_python folder.
   • Open a command prompt in the system_python folder and run the following commands:
     • pip install triton
     • pip install <sage_attention_2_file_name>
   • Extract the downloaded Python 3.10.11 include lips.zip file in the system_python folder.
   • Run the update.bat file to update Frame Pack to the latest version.
   • Finally, run the run.bat file to start the Frame Pack web UI.

Once the installation is complete, the Frame Pack web UI will open automatically in your browser, ready to be used.

Frame Pack is a web-based user interface that leverages the Hyan image-to-video model to generate up to 2 minutes of video from a single image, all while requiring only 6 GB of VRAM. This impressive feat of optimization makes it accessible to users with modest GPU hardware.

The web UI is straightforward and intuitive to use. Simply upload an image, write a short prompt, and adjust a few parameters such as video length, VRAM usage, and compression. The generation process starts with the final frame and works backward, allowing you to see the progress in real-time.

One of the standout features of Frame Pack is its ability to generate videos with a significant amount of movement and animation, even from a static image. It can introduce motion and dynamics while preserving the integrity of the original image. Additionally, Frame Pack can generate movement in elements that were not present in the source image, further showcasing its impressive capabilities.

The web UI's simplicity and low VRAM requirements make it accessible to a wide range of users, even those without powerful GPUs. For those without a dedicated GPU, the option to rent a GPU on a platform like RunPod provides a convenient way to utilize Frame Pack's features without the need for local hardware.

Overall, Frame Pack is a remarkable tool that demonstrates the advancements in image-to-video generation, offering users the ability to create high-quality, dynamic videos from a single image, all while requiring minimal GPU resources.

Frame Pack is a web UI that uses the Hyan image-to-video model to generate up to 2 minutes of video from a single image, with incredible details, and requiring only 6 GB of VRAM. This makes it an impressive tool that can be run locally on your computer, without the need for a powerful GPU.

The installation process is straightforward, with both a one-click installer for Patreon supporters and a manual installation method. Once installed, the web UI is easy to use, allowing you to upload an image, write a short prompt, and customize various parameters such as video length, steps, and compression.

The generation process starts from the end frame and works backward, allowing you to see the full generation as it happens. While Frame Pack may not be the fastest video generation model, it delivers impressive quality while using a minimal amount of VRAM.

Even if you don't have a powerful GPU, you can still use Frame Pack by renting a GPU on a website like RunPod, which provides a simple one-click installation process for Patreon supporters. This allows you to enjoy the benefits of Frame Pack without the need for a high-end local machine.

Overall, Frame Pack is a remarkable tool that demonstrates the impressive capabilities of modern AI, allowing users to generate high-quality videos from a single image using only 6 GB of VRAM. Its ease of use and flexibility make it an excellent choice for those interested in exploring the world of image-to-video generation.

If you don't have a powerful GPU or if you don't have a GPU at all, you can still use Frame Pack by renting a GPU for a few cents an hour on a website like RunPod and run it as if this was running on your local computer.

First, click on the link in the description down below and create a RunPod account. Then, click on "Pods" and "Deploy a Pod". Choose a GPU with at least 24GB of VRAM, such as a 1490. Click on "Change template" and select the "RunPod PyTorch 2.1" template.

Next, click on "Edit template" and change the container disk and volume disk from 20GB to 80GB for both. Click "Set overrides" and then "Deploy on demand". Wait until the pod is initialized, and once it's done, click on "Connect" and then the terminal icon.

If you're one of the creator's Patreon supporters, this step will be very easy for you. Take the installer provided and drag and drop it right into the terminal. Then, copy and paste the two command lines from the Patreon post and press enter. This will automatically download Frame Pack inside RunPod, and you don't need to do anything else.

Once everything is done, you should see a public URL that, when clicked, will open the web UI ready to be used as if it was running on your local computer. Simple as that!

Frame Pack is an impressive web UI that can generate up to 2 minutes of videos from a single image using only 6 GB of VRAM. It utilizes the Hyan image-to-video model, which has been optimized to run on low-VRAM GPUs. The web UI is straightforward and easy to use, allowing users to upload an image, write a prompt, and customize various parameters to generate high-quality videos.

One of the standout features of Frame Pack is its ability to generate videos with a lot of movement and animation, even for images that don't initially contain much movement. The videos can also maintain the integrity of the original image while introducing subtle changes and animations.

The installation process is relatively simple, with both a one-click installer for Patreon supporters and a manual installation process detailed in the provided instructions. For users without a powerful GPU, Frame Pack can be run on a rented GPU through a service like RunPod, making it accessible to a wider audience.

Overall, Frame Pack is a remarkable tool that demonstrates the impressive capabilities of modern AI technology, allowing users to create dynamic videos from a single image with minimal VRAM requirements. Its ease of use and impressive results make it a valuable addition to the growing field of image-to-video generation.