Easy AI animation in Stable Diffusion with AnimateDiff.

Vladimir Chopine [GeekatPlay]
30 Oct 202312:47

TLDRIn this video, the host guides viewers through creating animations using Stable Diffusion with AnimateDiff, a tool that enhances the process of generating longer, more detailed animations. The tutorial begins with the installation of necessary software and extensions, including FFmpeg, Visual Studio Code, and Shinkansen, as well as the AnimateDiff and ControlNet extensions for Stable Diffusion. The host demonstrates how to animate a static image by extending the animation and using motion modules, and then integrates ControlNet to animate a video clip. The video concludes with a discussion on how to stylize the animations using various plugins and techniques, emphasizing the importance of experimentation to achieve unique and interesting results. The host encourages viewers to subscribe and share the video for further support.


  • ๐Ÿ˜€ Install necessary software for the project, including FFmpeg, Visual Studio Code, and ShInorder.
  • ๐ŸŽจ For animation, use extensions like AnimateDiff and ControlNet in the Stable Diffusion application.
  • ๐Ÿ‘พ Test the animation by creating a small, realistic slimy alien portrait.
  • ๐Ÿ” Use motion modules to extend and animate the image, aiming for a looping animation effect.
  • ๐Ÿ”„ Implement 'closed loop' for smoother, continuous animation sequences.
  • ๐Ÿ“น ControlNet can be used to control the animation by uploading images or video frames.
  • ๐Ÿ‘ง For video, extract frames using ShInorder and assemble them into an animation sequence.
  • ๐ŸŽฌ Use ControlNet with 'pixel perfect' and 'open pose' settings to detect and animate a person.
  • ๐Ÿ“Š Increase the number of frames and use video as a guide to create longer animations.
  • ๐ŸŽจ Apply additional stylizations and textual inversions to enhance the animation.
  • ๐Ÿ”— Links to software and extensions will be provided in the video description for further exploration.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is creating animations using Stable Diffusion with the help of extensions like AnimateDiff and ControlNet.

  • Which free application is recommended for downloading to assist with video segmentation?

    -The free application recommended for downloading is FFmpeg, which helps with taking video on segments and putting them together.

  • What is Microsoft Visual Studio Code and why is it recommended for this project?

    -Microsoft Visual Studio Code is a free environment that provides tools to work with many applications. It is recommended due to its utility in working with various applications, not necessarily needed for this specific project but useful for others.

  • What is the purpose of the application called 'sh' and how does it relate to FFmpeg?

    -The application 'sh' is used on top of FFmpeg to help take video apart and put it together, serving as a utility for video editing tasks.

  • What is Tapaz AI Video and how does it differ from other applications mentioned?

    -Tapaz AI Video is a paid application that allows users to add frames and upscale videos. It works better than some UPS scalers within Stable Diffusion and is used for enhancing video quality.

  • Which extensions need to be installed in Stable Diffusion for this project?

    -The extensions that need to be installed in Stable Diffusion for this project are AnimateDiff and ControlNet.

  • What is the purpose of the 'AnimateDiff' extension in the context of this video?

    -The 'AnimateDiff' extension is used to create animations within Stable Diffusion, allowing for the generation of looping animations from still images.

  • What is ControlNet and how does it integrate with Stable Diffusion?

    -ControlNet is an extension that integrates with Stable Diffusion to enable the creation of animations by controlling the motion and details of the subjects in the animation.

  • How can one find and install additional motion modules in Stable Diffusion?

    -Additional motion modules can be found and installed in Stable Diffusion by using the 'CTI' extension, which allows users to search and filter for motion modules after installation.

  • What is the significance of the 'closed loop' setting in AnimateDiff?

    -The 'closed loop' setting in AnimateDiff ensures that the animation will loop seamlessly, creating a continuous animation effect without breaks.

  • How can the length of animations be extended beyond the initial limit of 24 frames?

    -The length of animations can be extended by using a video as a guide, which allows the animation to be driven by the video's frames, thus overcoming the initial 24-frame limit.



๐ŸŽจ Introduction to Animation with Stable Diffusion Extensions

The video starts with an introduction to working on animations in Stable Diffusion, a tool for creating AI-generated images. The presenter recommends installing several applications and extensions to assist with the project: FFmpeg for video segmentation, Visual Studio Code for coding, and Shotcut for video editing. They also mention Tapaz AI Video for video upscaling. The focus then shifts to installing necessary extensions for Stable Diffusion, specifically 'anime diff' and 'control net', and checking for updates. The video demonstrates creating a test image of a slimy alien and setting up the initial parameters for animation.


๐Ÿš€ Animating with Anime Diff and Control Net Extensions

The second paragraph delves into the process of animating using the 'anime diff' extension, which allows for the creation of looping animations. The presenter explains how to enable the extension, set the number of frames, and choose the format for the output. They demonstrate this by creating an animation of a slimy alien. The video then explores the integration of 'control net' with a short video clip of a girl taking fruits out of a bag. The presenter guides through extracting a single frame for animation, using Shotcut and FFmpeg to split the video into frames, and then using 'control net' to animate the image based on the extracted frame. The paragraph concludes with generating an animation that incorporates motion from the control net.


๐ŸŒŸ Enhancing Animations with Video Guidance and Stylizations

In the final paragraph, the presenter discusses enhancing animations by guiding them with video. They create a video from the extracted frames and use it to drive the animation, overcoming the limitation of a fixed number of frames. The video is then compressed and saved as an MP4 file. The presenter also talks about applying textual inversions and stylizations to the animation, such as 'negative' and 'bad hands', to add unique effects. They demonstrate how to apply these effects and generate a final animation that includes these stylizations. The video concludes with a call to action for viewers to subscribe, share, and support the channel, emphasizing the value of the information provided.



๐Ÿ’กStable Diffusion

Stable Diffusion is an artificial intelligence model that generates images from textual descriptions. In the context of the video, it is used to create animations with the help of extensions like AnimateDiff and ControlNet. The video demonstrates how to install and utilize these extensions to enhance the animation capabilities of Stable Diffusion.


AnimateDiff is an extension for the Stable Diffusion model that enables the creation of animations. The video explains how to install this extension and use it to animate images, such as generating a looping animation of a slimy alien. AnimateDiff is crucial for the video's theme of creating AI-generated animations.


ControlNet is another extension mentioned in the video that works in conjunction with AnimateDiff. It is used to control the animation by providing a sequence of images or video, which guides the motion in the animation. The script describes using ControlNet to animate a character based on a video clip of a girl taking fruits out of a bag.


FFmpeg is a free software that handles multimedia data, often used for video editing tasks such as transcoding, cutting, and concatenating videos. The video script suggests downloading FFmpeg as it is useful for taking video segments and putting them together, which is essential for the animation process discussed.

๐Ÿ’กVisual Studio Code

Visual Studio Code, often abbreviated as VS Code, is a free source-code editor made by Microsoft. It supports a wide range of programming languages and is recommended in the video for its utility in working with various applications, including those that might be used alongside Stable Diffusion.


Shinorder is a free application that complements FFmpeg by helping to take videos apart and put them back together. The script mentions using Shinorder to create an animation sequence from a video clip, which is a key step in preparing material for animation in Stable Diffusion.

๐Ÿ’กTapaz AI Video

Tapaz AI Video is a paid application that the video creator uses for video processing tasks such as adding frames and upscaling. It is highlighted as a tool that works better than some upscaling solutions within Stable Diffusion, indicating its value in enhancing video quality for animations.


In the context of the video, a checkpoint refers to a specific version or state of the AnimateDiff extension. The script mentions using a 'delate version two checkpoint,' which is likely a particular configuration or version of the AnimateDiff tool used for creating animations.

๐Ÿ’กGMP++ 2M

GMP++ 2M is a method mentioned in the script for assembling the animation. It is part of the settings used within Stable Diffusion to generate the animation frames. The video suggests setting the sampling rate to 35, which could affect the quality and smoothness of the animation.

๐Ÿ’กTextual Inversions

Textual Inversions is a technique or feature within Stable Diffusion that allows for the modification of the generated images or animations. The video creator uses this feature to add stylistic elements like 'bad hands' and 'color box mix' to the animation, demonstrating how it can be used to create unique and interesting effects.


Introduction to creating animations in Stable Diffusion using AnimateDiff.

Recommendation to install FFmpeg for video segment handling.

Suggestion to download Visual Studio Code for coding and development.

Introduction of Shinorder, a utility for video editing.

Tapaz AI video application for frame addition and upscaling.

Instructions on installing AnimateDiff and ControlNet extensions in Stable Diffusion.

Explanation of using checkpoints and assembling methods for animation.

Creating a test image of a slimy alien with Stable Diffusion.

Using motion modules to animate the test image.

Details on installing and using the CTI extension for motion modules.

Demonstration of generating a looping animation with AnimateDiff.

Combining AnimateDiff with ControlNet for more dynamic animations.

Process of extracting frames from a video using Shinorder.

Using ControlNet with a single image and open pose for animation.

Switching to batch mode in ControlNet for more complex animations.

Creating a video from frames and using it to drive animations.

Adding stylizations and textual inversions to animations.

Final demonstration of the animated video with added effects.

Encouragement to experiment with AnimateDiff for unique animations.