AnimateDiff Tutorial: Turn Videos to A.I Animation | ComfyUI

25 Jan 202411:25

TLDRThis video tutorial showcases the significant advancements in AI animation quality and consistency over the past two years. It guides viewers through setting up their tools, specifically Comfy UI, and shares settings for transforming videos using AI. The video emphasizes the importance of installing necessary models and nodes, adjusting key settings like weight and noise, and the use of prompts for desired outputs. It also encourages experimentation with settings to achieve the best results and offers resources for further exploration.


  • πŸš€ AI and animation quality have significantly improved in the last two years.
  • πŸ“š To begin, install Comfy UI and follow the guide in the video description.
  • πŸ”— Download and install the Comfy UI Manager from the provided link.
  • πŸ“‚ Extract the archive and navigate through the folders to set up the custom nodes.
  • πŸ”„ Update Comfy UI to the latest version if you already have it installed.
  • πŸŽ₯ Use the Civit AI guide for starting video animation work.
  • πŸ“ Download essential files like the IP adapter batch and fold it into the Comfy UI interface.
  • 🏠 Install the main AI model that defines the style of your output.
  • πŸ” Select and download additional models like the SDXL VAE module and IP adapter plus model.
  • 🌟 Customize settings in Comfy UI, including selecting the AI model, adjusting weights and noise, and setting up the control net nodes.
  • πŸ“ˆ Experiment with different settings and prompts to achieve the desired output for your videos.
  • 🎞️ Access the generated animations in the output folder of Comfy UI.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about improving the quality and consistency of AI animations and providing a step-by-step guide on how to set up tools for video animation using comfy UI and various AI models.

  • What is the first step in preparing for AI video animation according to the video?

    -The first step is to install comfy UI by following the guide provided in the video description, which includes downloading the software, extracting the archive, and opening the application.

  • How does one install the comfy UI manager?

    -To install the comfy UI manager, navigate to the 'Custom Nodes' folder, open the command prompt window by typing CMD and hitting enter, then paste the provided command from the description box and hit enter.

  • What is the purpose of the IP adapter batch file downloaded in the guide?

    -The IP adapter batch file is a JSON file that contains the base workflow for video animation. It is dragged and dropped onto the comfy UI interface to load the workflow into the system.

  • What are the essential files that need to be downloaded for the AI animation process?

    -The essential files include the main AI model, the sdxl vae module, the IP adapter plus model, the image encoder, the control net model, and the hot shot motion model.

  • How does one fix missing custom nodes errors in the comfy UI?

    -To fix missing custom nodes errors, open the comfy UI manager, click on 'Install Missing Custom Nodes', and install the required extensions one by one. After installation, restart comfy UI.

  • What is the significance of the weight and noise settings in the IP adapter node?

    -The weight and noise settings in the IP adapter node significantly affect the output of the animation. Adjusting these values allows for fine-tuning the transformation of the input video to achieve the desired style and quality.

  • How does the control net strength setting influence the animation?

    -The control net strength setting determines how closely the animation should follow the original structure of the input video. A higher strength value means the output will adhere more closely to the original video's structure.

  • What are the two input boxes for prompts in the video combine node used for?

    -The two input boxes for prompts are used to guide the AI in generating the animation. The green box is for positive prompts, describing the desired final output, while the other box is for negative prompts, describing elements or styles to avoid in the output.

  • What happens after all inputs and settings are configured in the comfy UI?

    -Once all inputs and settings are done, the user can click on 'Q prompt' to start processing. The comfy UI will go through the nodes one by one, with the K sampler node taking the longest. After processing, a preview of the output will be displayed in the video combined node.

  • Where can users find the final upscaled videos after processing?

    -Users can find the final upscaled videos in the output folder of the comfy UI interface, where individual frames and pre-upscaled outputs are also stored in different folders.



πŸš€ Introduction to AI Animation Tools

This paragraph introduces the significant improvements in AI and animation quality over the past two years. The video aims to demonstrate the simplest method to prepare your tools and share settings for transforming videos using AI animation methods. It emphasizes the importance of subscribing to the channel for updates on new tools and their usage. The first step involves installing Comy UI, with a link provided in the description for a complete guide. The guide instructs viewers to download and install Comy UI, extract the archive, and install the Comy UI manager through the command prompt. It also advises updating to the latest version if Comy UI was previously installed.


πŸ“š Downloading Essential Files and Models

This section details the process of downloading essential files and AI models necessary for video animation. It instructs viewers to download the IP adapter batch file, main AI models, SDXL VAE module, IP adapter plus model, image encoder, and control net model. Each file is to be saved in specific folders within the Comy UI directory. The paragraph also explains how to load the base workflow, troubleshoot missing nodes, and install required extensions. It emphasizes the importance of selecting the correct models and saving them in the appropriate directories to ensure smooth functioning of the animation process.


🎨 Customizing Settings and Workflow

The paragraph outlines the steps to customize settings and configure the workflow in Comy UI for video transformation. It begins with loading the video file for transformation and adjusting the 'select every nth frame' setting to manage processing time. The dimensions of the output video are chosen, with an option to upscale the resolution for improved quality. The AI model for stylization is selected, and additional models like the SDXL VAE and image encoder are loaded. Important settings such as weight, noise, control net strength, and K sampler are discussed, along with their impact on the output quality. The paragraph also covers the use of prompts to guide the AI in achieving the desired animation style and the importance of experimenting with different settings to achieve the best results.

πŸŽ₯ Viewing and Exporting the Transformed Video

This part of the script discusses the final stages of video transformation, including the preview of the processed video at a lower resolution before upscaling. It explains the process of upscaling the video and the ability to monitor progress. Once the upscaling is complete, a preview of the final upscaled output is provided. The paragraph encourages viewers to experiment with settings to achieve the desired output and provides information on accessing the generated animations. It also mentions the availability of more examples and workflows on the creator's Patreon page for subscribed users, concluding with an invitation to stay creative and a sign-off for the next video.



πŸ’‘AI Animation

AI Animation refers to the use of artificial intelligence to create animated content. In the context of the video, it highlights the significant improvements in the quality and consistency of animations generated by AI over the past two years. The video aims to demonstrate how AI can be utilized to transform videos into various styles and formats, showcasing the potential of AI in the animation industry.

πŸ’‘Comfy UI

Comfy UI is a user interface for certain AI animation tools, which is used to manage and customize the settings for video animation. In the video, the presenter guides viewers on how to install and use Comfy UI, including its manager and custom nodes, to set up their animation workflow. It serves as the primary tool for users to interact with and control the AI animation process.

πŸ’‘Custom Nodes

Custom Nodes are additional components that can be installed in Comfy UI to extend its functionality and enable the use of specific features or models in the AI animation process. These nodes are essential for executing complex tasks and achieving desired outcomes in the animations. The video emphasizes the importance of installing missing custom nodes to ensure the AI animation workflow is complete and functional.

πŸ’‘AI Models

AI Models in the context of the video refer to the pre-trained neural networks that define the style and appearance of the output animations. Different models can produce varied visual effects, and the video encourages viewers to download and use specific AI models like Protovision XL to stylize their animations according to their preferences.

πŸ’‘IP Adapter

IP Adapter is a term used in the video to describe a specific type of module or tool within the AI animation workflow that helps to adapt and process the input video according to the chosen AI model. It is a crucial component that facilitates the transformation of the original video into the desired animated style.

πŸ’‘Control Net

Control Net is a concept related to AI animation that involves using a model to maintain the structure and key elements of the original video while applying the stylization from the chosen AI model. It helps to ensure that the animated output retains the essence of the original content, providing a balance between creativity and fidelity to the source material.


Prompting in the context of AI animation refers to the input of specific instructions or descriptions that guide the AI in generating the desired output. These prompts can include positive descriptions of the desired outcome or negative prompts to exclude certain elements or styles. Prompting is a critical step in the creative process, as it directly influences the final appearance of the animation.


Upscaling in the video refers to the process of increasing the resolution of the processed animation to enhance its quality. This is an important step in the post-processing phase of AI animation, as it can significantly improve the visual appeal and clarity of the final output.

πŸ’‘K Sampler

The K Sampler is a node in the AI animation workflow that is responsible for generating variations of the animation based on the input settings and models. It plays a crucial role in the creative process by introducing randomness and diversity into the output, allowing for the exploration of different animation possibilities.

πŸ’‘Video Combine Node

The Video Combine Node is a component in the AI animation workflow that is used to compile and export the final animation. It is where the processed video frames are combined and upscaling is applied before the output is saved. This node represents the final stage of the animation process, where the user can review and export the completed work.


AI and animation quality have greatly improved in the last two years.

The video will demonstrate the easiest way to prepare tools for AI animation.

Settings will be shared to transform videos using AI animations.

AI animation methods are expected to continue improving.

Instructions on installing Comfy UI and the Comfy UI Manager are provided.

A guide on Civit AI is recommended for beginners.

The IP adapter batch and fold file is a JSON file used to load the base workflow.

Downloading and installing essential AI models and modules is necessary for the animation process.

The video provides a step-by-step guide on how to set up the AI animation workflow.

The importance of selecting the right AI model for stylizing the output is emphasized.

Settings such as weight and noise significantly affect the output.

The control net model determines how closely the animation follows the original video structure.

The K sampler node is crucial for the quality of outputs.

CFG value determines how closely the output follows the prompt.

Prompting is a critical input for defining the final output.

Export settings can be customized, including frame rate and video format.

Generated animations can be accessed and further customized in the Comfy UI output folder.

Experimentation with settings is encouraged to achieve desired outputs.