How to Create Consistent AI Video

Creating realistic, flicker-free AI video can be challenging, but with a few clever hacks, it’s entirely possible. In this blog post, we’ll break down two methods shared by Tokyojab, an expert in AI video creation.

Here’s what you’ll learn:

What temporal consistency is and why it matters in AI video creation
How to use the grid method to ensure smooth and realistic video results
Tokyojab’s hack for using Stable Diffusion’s ControlNet to avoid flickering
Tools and techniques to get started with AI video production

Whether you’re new to AI filmmaking or already familiar with tools like Stable Diffusion and Ebsynth, this step-by-step guide will help you achieve temporal consistency in your AI videos.

Introduction to AI Video Creation

AI video creation has come a long way, and the ability to generate consistent, flicker-free videos is key to making your work look professional. One of the most important concepts to understand in this process is temporal consistency, which ensures that the same elements (like facial features or movements) stay consistent across frames, preventing the jittery or “flickering” effect that often plagues AI-generated videos.

In this guide, we’ll look at two main hacks for achieving this, both of which were developed by Tokyojab, a highly creative expert in the AI video space. These hacks will help you use Stable Diffusion and Ebsynth more effectively to create realistic, high-quality videos that don’t suffer from flickering issues.

What is Temporal Consistency?

Temporal consistency is the concept of ensuring that elements in AI-generated videos remain stable across different frames. Without it, videos tend to look jittery or inconsistent, which breaks the immersion and realism of the content. Achieving this consistency is one of the biggest challenges in AI video creation, but it’s essential for anyone looking to produce professional-looking videos.

In this guide, we’ll explore how to use the grid method and ControlNet in Stable Diffusion to maintain temporal consistency and create smooth, lifelike videos.

Step 1: Preparing Your Video Frames

Before diving into the advanced techniques, it’s important to prepare your video frames. You’ll need to start by selecting a video and exporting all its frames in a 512×512 square format. This can be done with free tools like ezgif.com or editing software like DaVinci Resolve.

For this tutorial, Tokyojab used a video transformation method, changing a person of color into a white woman to test the consistency of AI generation. Another example Tokyojab used is turning his own video into a Sylvester Stallone version to see how well the AI can replicate facial expressions and movements.

Once you’ve selected and exported the frames, make sure to organize them and select four keyframes to work with. These keyframes should include important moments in the video where something significant happens, like a head turn or facial movement.

Step 2: The Grid Method – Tokyojab’s First Hack

Tokyojab’s first hack for achieving flicker-free videos is called the Grid Method. This method involves creating a grid of keyframes that are processed simultaneously in the same latent space within Stable Diffusion.

To create the grid, you’ll need a tool like the Sprite Sheet Packer website, where you can upload your four keyframes and create a 1024×1024 grid. Once this grid is processed, Stable Diffusion will treat all the keyframes as part of the same image, ensuring that the frames remain consistent and preventing flickering.

Why the Grid Method Works: By loading multiple frames at once, the AI treats the entire sequence as one image, which forces the system to generate consistent results across the keyframes. This technique is particularly effective for videos with complex movements or changes in perspective.

Step 3: Using Stable Diffusion’s ControlNet for Flicker-Free AI Video

The second hack Tokyojab uses to enhance temporal consistency is leveraging ControlNet within Stable Diffusion. Instead of using the standard image-to-image method, Tokyojab loads the grid into the text-to-image tab of Stable Diffusion, using ControlNet to manage the consistency of each generated frame.

Here’s a simple breakdown of how to set up ControlNet for AI video:

Enable ControlNet: Go to the text-to-image tab, click “enable,” and select the appropriate settings like Lineart or Lineart Realistic to guide the output.
Set the Image Size: Choose the resolution (1024×1024) and use a sampling method like Euler A with around 66 sampling steps for high-quality frames.
Use Prompting: Input specific prompts, such as “closed mouth” or “realistic lighting,” to control the consistency of facial features and lighting across frames.

With this technique, you’ll ensure that your AI-generated video frames not only stay consistent but also maintain the sharpness and realism that AI filmmaking requires.

Step 4: Finalizing the Video in Ebsynth

Once you’ve processed the keyframes in Stable Diffusion, it’s time to bring everything together using Ebsynth. This tool allows you to apply the processed keyframes to the entire video sequence, ensuring that the AI-generated elements remain consistent throughout.

Here’s a quick guide to using Ebsynth:

Upload your original frames into the video tab of Ebsynth.
Drag the keyframes into the corresponding keyframe folder.
Adjust the mapping and flicker settings to refine the final output.
Click “Run All” to process the video.

Ebsynth will create a smooth, flicker-free video that blends your keyframes seamlessly with the original footage.

Conclusion and Next Steps

By following these steps, you’ll be able to create consistent, high-quality AI videos that avoid common issues like flickering. Using tools like Stable Diffusion, ControlNet, and Ebsynth, along with Tokyojab’s clever hacks, you can achieve professional results even if you’re new to AI video creation.

For more advanced techniques, including how to use bigger grids and multiple keyframes for longer videos, stay tuned for the next tutorial!

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