Stable Diffusion Animation Create Youtube Shorts Dance AI Video (Tutorial Guide)

Future Thinker @Benji
12 Oct 202308:02

TLDRIn this tutorial, the creator shares insights on producing YouTube Shorts Dance videos using AI, specifically the Channel's virtual Covergirl, Nancy. The guide walks through the stable diffusion and face swap techniques, addressing queries and misconceptions. It highlights the ease of using the 'Move to Move' extension for animation creation without extensive preparation, and introduces the 'Movie Editor' feature for scene alterations. The tutorial also discusses the use of the face swap extension and provides tips on achieving better results with different settings. The video concludes with a demonstration of the final product, encouraging viewers to explore the potential of AI in creating realistic animation clips.


  • 🎬 The tutorial demonstrates creating YouTube Shorts dance videos using AI techniques with a virtual character, Nancy.
  • 🤖 The process involves utilizing stable diffusions and face swap techniques to generate animations.
  • 💻 The 'Move to Move' extension is highlighted as an easy method for creating animations without extensive preparation.
  • 🔍 Users can drag and drop short videos, add prompts, and generate animations with the extension.
  • 🖼️ The face swap extension based on the ROT model is used, which is uncensored and has NSFW enabled.
  • 🚀 The SD Web Reactor extension provides a smooth experience and doesn't require additional model files to be downloaded.
  • 🎞️ The 'Movie Editor' feature within the 'Move to Move' tab allows for specific frame selection and scene modification.
  • 🔑 The keyframe features enable users to play around with the key image to create unique AI animations.
  • 🌟 The tutorial addresses issues with version 1.6 and demonstrates that it works as intended.
  • 📊 The results showcase different denoising strengths and noise multipliers to achieve a desired video quality.
  • 📈 The tutorial aims to inspire viewers to create realistic animation video clips for platforms like YouTube Shorts.

Q & A

  • What is the main focus of the tutorial?

    -The tutorial focuses on creating YouTube Shorts Dance videos using AI, specifically with the AI Covergirl Nancy, and leveraging stable diffusions and root face swap techniques.

  • How is the AI character Nancy created for the videos?

    -Nancy is entirely virtual, created using AI technology, and does not have a real-life or TikTok identity.

  • What is the issue some people have with move to move extension and version 1.6?

    -Some individuals have claimed that the move to move extension does not work with version 1.6, but the tutorial aims to demonstrate that it does indeed work.

  • What is the easiest way to create animations using stable diffusions as mentioned in the tutorial?

    -The easiest way to create animations using stable diffusions is by using the move to move extension, which doesn't require extensive preparation.

  • Why is the face swap extension mentioned in the tutorial?

    -The face swap extension is used to swap faces in videos based on the rot model, and it is uncensored and NSFW enabled, which some users might prefer.

  • What is the role of the Movie Editor feature in the move to move extension?

    -The Movie Editor feature allows users to select a specific frame, add it to the move to move settings, and write a text prompt for that frame, enabling scene changes from the original video.

  • How does the move to move extension differ from other tools like deorum or stable diffusion e synth utility?

    -The move to move extension is more convenient as it allows users to create unique AI animations by typing a text prompt on a selected keyframe number, without needing to extract all image frames from a video clip and doing image to image for each key frame.

  • What are the system requirements to run the face swap and move to move extensions?

    -To run the extensions, users must disable the SD web UI RP extension and restart the Automatic 1111 software, as both extensions cannot run simultaneously without causing a system crash.

  • How does the tutorial handle videos with multiple people for the face swap?

    -The face swap extension allows specifying the target people in the video clip, and it can handle about three people.

  • What are the steps to create a new video for face swap and move to move animation?

    -The steps include selecting a new video, testing with different denoising strength and noise multipliers, and using the command prompt to generate the animations.

  • What are the results of using the realistic Vision checkpoint models with lower denoising strength?

    -Using the realistic Vision checkpoint models with lower denoising strength significantly improves the quality of the animations, reducing noise and flickering for a more polished result.

  • What is the final outcome of the tutorial?

    -The final outcome is a tutorial on using the stable diffusion extension to generate animations without the need for other AI tools, resulting in realistic animation video clips similar to YouTube short videos.



🎥 Creating AI Dance Videos with Stable Diffusions

The speaker introduces the process of creating YouTube Shorts dance videos using AI, specifically mentioning the use of stable diffusions and root face swap techniques. They address the audience's curiosity about the creation of these videos and clarify that the AI covergirl, Nancy, is entirely virtual. The tutorial aims to demonstrate the functionality of the 'move to move' extension, which has been questioned by some users. The speaker also discusses the installation and use of the SD web reactor extension, emphasizing its ease of use and the importance of disabling other extensions to avoid system crashes. They delve into the 'move to move' tab's features, such as the Movie Editor, which allows for scene changes and customization through text prompts. The tutorial concludes with a demonstration of the face swap and animation process using different denoising strengths and noise multipliers.


📈 Testing Stable Diffusion for Realistic Animations

The speaker continues the tutorial by testing the stable diffusion extension for generating animations, focusing on achieving a realistic look similar to YouTube short videos. They discuss the use of different checkpoint models and adjusting denoising strength to improve the quality of the animations. The results of the face swap and animation are shown, highlighting the reduction of noise and flickering through various settings. The tutorial concludes with a successful demonstration of creating a realistic animation video clip, and the speaker encourages viewers to subscribe to the channel for more content. They express hope that the audience is inspired to create their own animations and wish them well until the next video.



💡YouTube Shorts

YouTube Shorts is a feature on the YouTube platform that allows creators to upload short-form videos. In the context of this video, the creator is utilizing YouTube Shorts to share dance videos that are generated using AI technology, which is a significant aspect of the video's content.

💡AI Covergirl

An AI Covergirl refers to a virtual or digitally created model that is used as a representative or 'cover girl' for a brand or channel. In this video, the AI Covergirl named Nancy is central to the creation of the dance videos, emphasizing the role of artificial intelligence in the process.

💡Stable Diffusions

Stable Diffusions are a type of AI model used for generating images or animations from textual descriptions. The video tutorial focuses on using this technology to create dance animations, showcasing its capabilities in the field of digital content creation.

💡Root Face Swap

Root Face Swap is a technique that involves swapping faces in images or videos with a different face, typically using AI algorithms. The script mentions using this technique with the AI model, highlighting its use in creating realistic and customized animations.

💡Move to Move

Move to Move is a feature within the AI animation software that allows users to create animations by simply dragging and dropping short videos and adding prompts. It is presented as an easy method for generating animations without extensive preparation, which is a key part of the video's tutorial.

💡Movie Editor

The Movie Editor is an updated feature of the Move to Move tool that enables users to select specific frames from a video and modify them with text prompts. This tool is significant in the video as it allows for the creation of unique scenes and animations, differentiating the final product from other methods.

💡Text Prompts

Text prompts are descriptive phrases or sentences that guide the AI in generating specific images or animations. They are crucial in the creation process described in the video, as they direct the AI to produce the desired outcome, such as a woman dancing in a particular setting.


A keyframe is a frame in an animation that defines a starting or ending state of a transition. The video discusses the use of keyframes in the animation process, allowing for detailed control over the animation's progression and the ability to manipulate specific moments within the video.

💡Denoising Strength

Denoising Strength is a parameter in AI-generated images or animations that controls the level of detail and clarity in the final output. The video demonstrates adjusting this parameter to achieve different styles, from cartoony to realistic, in the generated dance videos.

💡Noise Multiplier

Noise Multiplier is a setting that affects the amount of noise or graininess in the generated AI animations. The script describes testing various noise multipliers to reduce flickering and achieve a smoother final video, which is an important aspect of creating high-quality animations.

💡Realistic Vision

Realistic Vision refers to a checkpoint model used in AI animation that aims to produce outputs with a more realistic appearance. The video mentions using this model with a lower denoising strength to improve the quality and realism of the generated dance videos.


Creating YouTube shorts Dance videos using AI Covergirl Nancy.

Utilizing stable diffusions and root face swap techniques.

Move to Move is an easy way to create animations with stable diffusions.

No extensive preparation required, just drag and drop short videos, add prompts, and generate animations.

Using the uncensored and NSFW enabled face swap extension based on the rot model.

SD web reactor extension provides a smooth experience without needing to download additional model files.

Both the SD web UI and RP extension cannot run simultaneously to avoid system crashes.

New feature in Move to Move called Movie Editor allows selecting specific frames and adding text prompts to change scenes.

Clip interrogate key frame and deep buru key frame features for manipulating key frames.

Convenience of Move to Move over absin utility, which requires extracting and processing each image frame.

Custom model download required the first time for the face swap.

Settings available for specifying target people in a video clip for the face swap feature.

Testing different denoising strength and noise multipliers for the face swap and move to move animation.

Results show significant improvement with realistic Vision checkpoint models and lower denoising strength.

Tutorial demonstrates generating animations without using other AI tools.

Achieving a YouTube short video style with the AI animations.

Reducing noise and flickering in the animations with specific settings.

Final result showcases a smooth AI animation similar to posted YouTube short videos.