Animate IPadapter V2 / Plus with AnimateDiff, IMG2VID

Neuron
3 May 202406:55

TLDRIn this tutorial, the presenter demonstrates how to integrate Animate Diff into the IP Adapter V2/Plus to create an animated video. The process begins with setting up a basic IP Adapter workflow using two source images—a young girl and a robot. The images are combined to form a base for the animation. The Animate Diff Evolved package is then introduced between the checkpoint loader and the IP Adapter, providing additional control over the animation. The presenter adjusts the K sampler values and chooses the DDM pp2 M SD GPU and exponential scheduler to output a video. The final result is an animated video that blends the styles of the two images with a slowly moving fog in the background, showcasing a simple way to convert images to video using Animate Diff. The video concludes with a note to find more information in the description below.

Takeaways

  • 🎬 The video demonstrates how to integrate AnimateDiff into IP Adapter V2 or Plus for creating animations.
  • 📜 The process begins with a basic IP adapter workflow using two source images and a simple animation implementation.
  • 🤖 A checkpoint loader is used to load a standard checkpoint, with the IP Adapter Advanced node connected to the model port.
  • 🖼️ Two source images are used: a young girl and a robot, which are combined to create a base for the animation.
  • 🔗 The images are prepared for Clip Vision and loaded into the K sampler with a positive and negative prompt.
  • 🧩 AnimateDiff is integrated between the checkpoint loader and the IP adapter to add animation effects.
  • 🔄 The AnimateDiff evolved package is used for more control over the animation process.
  • 📊 The K sampler values are adjusted, with steps set to 25 and CFG to five, for the animation.
  • 🎥 A video combine node from the VHS package is used to output the animation as a video.
  • 🔢 The batch size in the empty latent image node is increased to 16 for better results.
  • 🌟 The final result is a mix of both image styles with a slow-moving fog in the background and slight movement.
  • 链接 The video provides links in the description for downloading necessary custom nodes, models, and the installation guide for IP Adapter.

Q & A

  • What is the main topic of the video?

    -The video demonstrates how to integrate Animate Diff into the IP Adapter Version 2 or Plus to create a basic workflow with two source images and a simple animation implementation.

  • What is the purpose of Animate Diff in this workflow?

    -Animate Diff is used to create an animation by integrating it into the IP Adapter workflow, allowing for a mix of image styles and a slow moving effect in the background.

  • Which version of the IP Adapter model is used in the video?

    -The video uses the IP Adapter Plus model for the demonstration.

  • What are the two source images used in the example?

    -The two source images used are a young girl and a robot, which are combined to create a base for the animation.

  • How does the video describe the animation result?

    -The result is described as a nice mix of both images with a slightly dreamy effect and a slowly moving fog in the background.

  • What is the role of the 'empty latent image' in the workflow?

    -The 'empty latent image' is used to increase the batch size, which is important for outputting a video in this workflow.

  • What is the purpose of the 'video combine node' from the VHS package?

    -The 'video combine node' is used to output the final video instead of a single image, allowing for the creation of an animated sequence.

  • What are the K sampler values changed to in the video?

    -The K sampler values are changed to steps of 25 and CFG to five.

  • What is the 'DDM pp2 M SD' mentioned in the video?

    -The 'DDM pp2 M SD' is the GPU and schedule chosen for the K sampler, indicating the settings for the sampling process.

  • How does the video suggest to prepare the image for Clip Vision?

    -The video suggests using the 'load prep image for Clip Vision node' and placing it into the image part of the workflow.

  • What is the significance of the 'beta schedule' in the Animate Diff package?

    -The 'beta schedule' is set to 'square root linear' in the Animate Diff package to control the animation process more effectively.

  • Where can viewers find more information about the custom nodes and models used in the video?

    -Viewers can find more information about the custom nodes and models, as well as the installation of IP Adapter, in the video description and through the provided links.

Outlines

00:00

🎨 Introduction to Integrating Animate Diff with IP Adapter Workflow

The video begins with the host's intention to demonstrate the integration of the Animate Diff tool into an IP Adapter version 2 or plus workflow. The focus is on creating a basic workflow using two source images to generate a simple animation featuring a robot girl and a dystopian backdrop. The host guides viewers through setting up a checkpoint loader, connecting the model, and using prompt notes for both positive and negative examples. The IP Adapter model and Clip Vision are introduced, and the process of loading and combining two images to create a base for the animation is explained. The host also covers preparing an image for Clip Vision and setting up the K sampler before concluding the standard IP Adapter workflow.

05:03

📹 Adding Animate Diff for Video Output

Building upon the basic IP Adapter workflow, the host illustrates how to incorporate the Animate Diff evolved package for more control over the animation process. The integration starts by placing the Animate Diff between the checkpoint loader and the IP Adapter. The model output is connected to the IP Adapter, with specific settings chosen for the version 3 Model and beta schedule. The K sampler values are adjusted, and the host opts for the DDM pp2 M SD GPU and an exponential schedule due to the video output requirement. The video combine node from the VHS package is utilized, and the batch size in the empty latent image note is increased to 16 for better results. The final output is an animated mix of both image styles with a slowly moving fog in the background, achieving the desired animation effect. The host concludes by encouraging viewers to find more information in the video description and bids farewell.

Mindmap

Keywords

💡Animate Diff

Animate Diff is a software tool or package used for creating animations from images. In the video, it is integrated into the IP adapter workflow to animate a mix of two images, resulting in a video with a moving robot girl and dystopian backdrop. It is used to add dynamic elements to the otherwise static images, bringing them to life through slight movements.

💡IP Adapter

IP Adapter is a node in a workflow used for image processing and style transfer. The video demonstrates how to use the IP Adapter version 2 or Plus to create a basic workflow with two source images. It plays a crucial role in transferring styles from the source images and mixing them to form the base for the animation.

💡Checkpoint Loader

A Checkpoint Loader is a standard node used in the workflow to load pre-trained models. In the context of the video, it is used to load the IP Adapter model, which is essential for the image processing part of the workflow.

💡Clip Vision

Clip Vision is a tool used in the video for preparing images for further processing. It is mentioned as 'H Clip Vision' in the script, which is used to prepare the image for the animation process after the style transfer from the IP Adapter.

💡Image Style Transfer

Image Style Transfer is a technique where the style of one image is applied to another while retaining the content of the original image. In the video, the IP Adapter is used to transfer the styles of two source images and mix them together to create a base for the animation.

💡K-Sampler

K-Sampler is a component in the workflow that determines how the latent space (the underlying representation of the data) is sampled during the image generation process. In the video, the K-Sampler values are adjusted to control the quality and characteristics of the output animation.

💡DDM pp2 M SD GPU

DDM pp2 M SD GPU refers to a specific type of sampler used in the animation process. It is chosen in the video to control the sampling strategy for generating the frames of the animation on a GPU (Graphics Processing Unit), which is important for efficient video output.

💡Video Combine Node

The Video Combine Node is a component from the VHS package used to combine individual frames or elements into a video format. In the video, it is used to output the final animation as a video file, rather than saving individual images.

💡Batch Size

Batch Size refers to the number of samples processed at one time in a given operation. In the context of the video, increasing the batch size in the empty latent image node allows for more frames to be processed simultaneously, which is essential for creating a smooth animation.

💡CFG (Control Flow Graph)

CFG stands for Control Flow Graph, which is a representation of the sequence of operations or steps in a workflow. In the video, the CFG value is set to five, which influences the number of iterations or steps taken during the animation generation process.

💡Beta Schedule

Beta Schedule refers to a specific parameter or setting that controls the rate or schedule at which certain adjustments are made during the animation process. In the video, the beta schedule is set to 'square root linear anima', which affects how the animation evolves over time.

Highlights

Integrating Animate Diff into IP Adapter version 2 or Plus for creating a basic workflow with two source images and a simple animation implementation.

Demonstration of a simple slightly moving robot girl and dystopian backdrop animation.

Creating a basic IP adapter workflow and integrating Animate Diff nodes.

Custom nodes and models for the workflow can be found in the description below.

Installation of IP Adapter can be found in the creator's videos with a link provided in the description.

Using a standard checkpoint loader and IP adapter advanced node for the workflow setup.

Loading the IP adapter model (plus model chosen) and Clip Vision for the animation process.

Using two images to transfer styles and mix them together for the base of the animation.

Creating a batch from the source images for Clip Vision.

Preparing images for Clip Vision using the Prep Image for Clip Vision node.

Using a beautiful robot girl standing in a dystopian cityscape as a positive prompt.

Adding a watermark and adjusting latent image values for the animation.

Integrating Animate Diff between the checkpoint loader and the IP adapter.

Using the Animate Diff evolved package for more control over the animation.

Adjusting K sampler values and choosing the DDM pp2 M SD GPU and exponential schedule for video output.

Increasing the batch size in the empty latent image note for better animation results.

Resulting in an animation that is a mix of both image styles with a slow moving fog in the background.

Animate Diff integration as a method for image to video conversion.

Additional resources and links are provided in the description for further assistance.

Create Unique Logos for Your Business

Generate professional logos and brand kits in minutes.

Create Unique Logos for Your BusinessGenerate Now