Step-by-Step Guide: Install Stable Video Diffusion

Table of Contents

1. Introduction
2. Downloading the Image to Video Tool
3. Installing the Image to Video Tool
   1. Downloading the Safe Tensor Files
   2. Cloning the Generative Models Repository
   3. Modifying the Streamlit Configuration File
   4. Moving the Video Sampling Python File
   5. Creating the Checkpoints Folder
   6. Modifying the Requirements File
   7. Downloading the Weights
4. Setting Up Anaconda
   1. Changing the Directory
   2. Creating a New Virtual Environment
   3. Activating the Virtual Environment
5. Installing Dependencies
   1. Installing Triton for Windows
   2. Installing Dependencies from Requirements Files
   3. Installing Additional Dependencies
6. Running the Image to Video Tool
   1. Using Streamlit
   2. Adjusting Video Generation Parameters
   3. Generating the Video
7. Troubleshooting and Tips
8. Conclusion

Installing the Image to Video Tool

In this tutorial, we will walk You through the step-by-step process of installing the Image to Video tool developed by Stable Defusion. This tool leverages generative models to convert images into animated videos. With a few simple modifications and setup, you'll be able to Create stunning videos using your own images.

Introduction

The Image to Video tool recently released by Stable Defusion offers users the ability to generate videos using generative models. This powerful tool can be installed on your machine, allowing you to transform static images into captivating videos. In this tutorial, we will guide you through the installation process and provide useful tips along the way.

Downloading the Image to Video Tool

Before we begin the installation process, you will need to download the necessary files. Stable Defusion provides two safe tensor files that are required for the tool to function properly. These files can be downloaded from their Website. Additionally, there are separate files available for the SVD XT version, which you can also explore. Once you have downloaded these files, we can proceed with the installation.

Installing the Image to Video Tool

To install the Image to Video tool, follow the steps outlined below:

1. Downloading the Safe Tensor Files: Start by downloading the safe tensor files provided by Stable Defusion. These files are essential for the tool's operation.

2. Cloning the Generative Models Repository: Navigate to your user directory and open Git Bash. Use the git clone command to clone the generative models repository. This will install the tool in your user directory under the name "Generative Models."

3. Modifying the Streamlit Configuration File: Locate the streamlit_corh.py file within the "scripts" > "demo" > "streamlit" directory. Open the file and change the low_vram_mode setting to true. This modification is crucial if your machine has limited VRAM.

4. Moving the Video Sampling Python File: Copy the video sampling Python file from the "demo" directory and paste it into the main directory of the tool. This step is necessary for proper functioning.

5. Creating the Checkpoints Folder: If there is no "checkpoints" folder in the main directory, create a new folder with this name. Move the safe tensor files you downloaded earlier into this folder.

6. Modifying the Requirements File: Open the pt2.txt and pt13.txt files and delete any references to "Triton." Save the modified files.

7. Downloading the Weights: Ensure that you have already downloaded the weights, as instructed in the previous section. These weights are necessary for the tool to generate accurate results.

Now that you have completed the installation process, we can proceed to set up Anaconda and install the required dependencies.