Create Stunning Animated Videos with DEFORUM on Google Colab!

Table of Contents

1. Introduction
2. What is Stable Diffusion?
3. The Dum Extension
4. Running Stable Diffusion on Google Colab
5. Environment Setup
6. Path Setup
7. Model Setup
8. Settings for Video Generation
9. Writing the Prompt Code
10. Generating the Video
11. Conclusion

Introduction

Welcome to "For Collector"! In this video, we will explore the world of image generation using Stable Diffusion. Stable Diffusion is an open-source AI program that allows us to Create stunning AI videos. However, to run this program on our computers, we need a powerful setup. Luckily, we can use Google Colab, a free cloud service, to generate AI videos without any downloads. In this tutorial, I will guide You step-by-step on how to use Stable Diffusion on Google Colab and create your own AI videos. So, let's get started!

What is Stable Diffusion?

Stable Diffusion is an open-source AI program designed for image generation. It utilizes the power of deep neural networks to create realistic and high-quality images. Within Stable Diffusion, there is an extension called Dum, which focuses on video generation. With Stable Diffusion and Dum, you have the tools to bring your creative ideas to life.

The Dum Extension

Dum is an open-source extension for Stable Diffusion that specializes in video generation. By combining the power of Stable Diffusion with Dum, you can create mesmerizing AI videos with ease. Whether you want to create animated art, visual effects, or storytelling videos, Dum has got you covered.

Running Stable Diffusion on Google Colab

To run Stable Diffusion on your computer, you need a powerful setup with a decent Nvidia graphics card and generous video RAM (VRAM). However, if you don't have the necessary hardware, you can still use Stable Diffusion through Google Colab, a free cloud service provided by Google. Google Colab eliminates the need for downloads and allows you to generate AI videos directly on the web.

Environment Setup

The first step is to set up the environment in Google Colab. You will need to access the Google Colab notebook page, where you can begin your AI video generation Journey. Follow the steps below to get started:

1. Click on "File" in the top menu.
2. Select "Save a Copy in Drive" from the dropdown menu.
3. A duplicate tab will open, providing you with a private and secure session. It will be labeled as "Copy of Theorum." You have the option to rename it if you prefer.

Path Setup

Next, it's time to set up the path for your AI video generation. This step requires you to connect and allow access to your Google Drive, where temporary data will be stored, and your final video will be uploaded. Follow the steps below to set up the path:

1. Click on "Runtime" in the top menu.
2. Select "Change Runtime Type" from the dropdown menu.
3. Make sure "T4 GPU" is selected as the hardware accelerator.
4. Click "Save" to Apply the changes.

Model Setup

Now let's dive into the model setup. Models are pre-trained machine learning datasets used to train AI. Stable Diffusion comes with several pre-loaded checkpoints or safe tensors. Two popular options are "Proten" and "Version 1.5 Pruned Checkpoints." Both options offer excellent results. Choose one of them and proceed with the steps below:

1. Click "Run" to begin the model setup process.
2. Please note that this step may take a few minutes to complete. Be patient and wait for the green check mark to appear, indicating successful execution.

Settings for Video Generation

In this step, you get to specify the details of how you want your AI video to look. Let's explore the different settings available:

1. Animation Section:

   • Select "2D mode" for your video.
   • Change the "Max Frame" value to determine the length of your video. For example, setting it to 100 frames with 10 frames per Second will result in a 10-second video. Adjust this value Based on your preferences.
   • Choose "Replicate" for the Border setting to avoid artifacts on the edges of the video.
   • Optionally, experiment with the Zoom setting to control the camera's zooming behavior. A zoom value greater than 1.0 allows zooming in, while a value less than 1.0 allows zooming out.

2. Translation X and Y:

   • These settings allow you to shift the scene left/right (X) or up/down (Y). Set these values according to your desired scene composition. For no camera shifting or translation, keep both values as zero.

3. Rotation:

   • The rotation settings are used in 3D mode, which we will ignore for now.

No other settings need to be changed at this stage. Once you have configured your video settings, proceed to the next step.

Writing the Prompt Code

The prompt code consists of written instructions that tell the AI what you want to see in your video. It provides guidance for the AI to generate frames based on your desired content. Follow the format below to structure your prompt code:

1. For initial frame zero, specify the starting image you want. For example, mention a White House engraving.
2. For subsequent frames, specify transitions or changes you want to see. For example, switching to the capital building at frame number 20.
3. You can also add a negative prompt section to specify what you don't want to see in your video.

Carefully craft your prompt code by paying Attention to colons, quotations, and commas. Missing any of these elements may result in error. In this tutorial, we will focus on creating engraving-style images of old banknotes as a prompt example.

Generating the Video

Now it's time to generate the video based on your prompt code. Follow the steps below:

1. Make sure you have entered the desired prompt code.
2. Set the video size to match your image size, or keep it as a square video (512 x 512) if you don't plan to upload an initial image for your video.
3. Choose the desired sampler algorithm for image quality creation. We recommend using "dpm2."
4. Adjust the steps and Scale values based on your preferences. Keeping them within the suggested range (50-100 steps, 7-14 scale) ensures that your video generation closely follows your Prompts.
5. For the "seed Behavior" setting, choose "iterative using initial image" to include your initial image in the video generation process.
6. Set the strength value between 0.65 to 0.80 to ensure the video starts off resembling the image you provided.
7. Click on the folder icon in the left sidebar to access your Google Drive files.
8. Drag and drop your initial image into the folder.
9. Click on the three dots next to the image to copy its path.
10. Paste the image path in the appropriate field.
11. Click on "Add Noise" and adjust the noise level if desired.
12. Finally, click on "Go" to start generating your video.

The process of generating the video might take some time, depending on various factors such as your internet speed and video complexity. Be patient and let the AI work its magic. Once the video is created, you can watch it frame by frame or download it in MP4 format.

Conclusion

Congratulations! You have successfully learned how to use Stable Diffusion on Google Colab to generate AI videos. By following these steps, you can unleash your creativity and bring your ideas to life. Experiment with different prompts and settings to create unique and captivating videos. Don't forget to end your session by selecting "Disconnect and Delete Runtime." Remember not to overuse Google Colab to avoid future access restrictions. If you encounter any technical issues, please understand that I may not be able to provide extensive help as I am not an expert. Your feedback is valuable, so please leave a message to let me know how easy or difficult the instructions were for you. If you find this tutorial helpful, feel free to share it with others and spread the love for AI. Peace out!

Highlights

• Explore the world of image generation with Stable Diffusion
• Utilize the power of Stable Diffusion and Dum Extension for AI video generation
• Run Stable Diffusion on Google Colab for a hassle-free experience
• Configure the environment, path, and model settings for video generation
• Customize video settings, prompts, and other parameters to create unique videos
• Generate AI videos that closely follow your creative vision
• Watch the video frame by frame or download it in MP4 format
• End your session responsibly to avoid access restrictions
• Share your feedback and experiences to improve the tutorial
• Spread the love for AI and creativity

Frequently Asked Questions (FAQ)

Q: What is Stable Diffusion?

A: Stable Diffusion is an open-source AI program that focuses on image generation. It uses deep neural networks to create realistic and high-quality images.

Q: What is the Dum extension?

A: Dum is an extension for Stable Diffusion that specializes in video generation. It allows you to create AI videos with ease by combining the power of Stable Diffusion with video-specific features.

Q: Do I need a powerful computer to run Stable Diffusion?

A: Yes, running Stable Diffusion on your computer requires a decent Nvidia graphics card and generous video RAM (VRAM). However, you can use Google Colab, a free cloud service, to generate AI videos without the need for a powerful setup.

Q: How can I run Stable Diffusion on Google Colab?

A: To run Stable Diffusion on Google Colab, you need to set up the environment, path, and model settings. Once everything is configured, you can specify your video settings, prompts, and other parameters to generate the desired AI video. Follow the tutorial for step-by-step instructions.

Q: Can I customize the prompts for my AI video?

A: Absolutely! The prompts allow you to specify what you want to see in your video. You can describe the initial frame, transitions, and other details to guide the AI in generating the frames. There is also an option to specify what you don't want to see in the video.

Q: How long does it take to generate an AI video?

A: The time taken to generate an AI video can vary depending on various factors, including your internet speed and the complexity of the video. It is normal for the video generation process to take several minutes or more. Be patient and let the AI work its magic.

Q: Can I download the AI video after it is generated?

A: Yes, once the AI video is generated, you have the option to download it in MP4 format. You can also watch the video frame by frame to appreciate the details and the creative vision brought to life by Stable Diffusion.

Q: How should I end my session on Google Colab?

A: It is important to end your Google Colab session responsibly to avoid access restrictions in the future. Select "Disconnect and Delete Runtime" to properly conclude your session.

Q: Can I share my feedback and experiences with you?

A: Absolutely! Your feedback and experiences are valuable in improving the tutorial and addressing any issues or concerns. Leave a message to share your thoughts, difficulties, or success stories. Your feedback helps us to better support and guide others who follow the tutorial.

Q: How can I help spread the love for AI?

A: If you find this tutorial helpful and informative, feel free to share it with others. You can spread the love for AI by recommending this tutorial to your friends, colleagues, or anyone who might be interested in exploring the world of AI video generation. Let's inspire and empower creativity through AI technology. Peace out!