Animate IPadapter V2 / Plus with AnimateDiff, IMG2VID
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
🎨 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.
📹 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
💡IP Adapter
💡Checkpoint Loader
💡Clip Vision
💡Image Style Transfer
💡K-Sampler
💡DDM pp2 M SD GPU
💡Video Combine Node
💡Batch Size
💡CFG (Control Flow Graph)
💡Beta Schedule
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.
