AnimateDiff + Instant Lora: ultimate method for video animations ComfyUI (img2img, vid2vid, txt2vid)

Koala Nation
24 Oct 202311:03

TLDRThis tutorial showcases how to create stunning animations using ComfyUI with custom nodes and models manager, combined with the powerful Anime Diff and Instant Lora methods. It provides a step-by-step guide on setting up the workflow, installing necessary nodes and models, and using them to generate high-quality animations. The process involves downloading poses, using the same model as in the Lora image, and installing additional models for Anime Diff and IP adapter. The tutorial demonstrates how to refine the animation with face detailer and post-processing for even better results, ultimately enabling users to transform the original Runner into a new character with endless creative possibilities.

Takeaways

  • 😀 The tutorial demonstrates how to create animations using ComfyUI with custom nodes and models.
  • 🎨 To use Instant Lora, you need the IPA adapter nodes and models, which can be installed via ComfyUI Manager.
  • 🔍 For animation, the script recommends using Anime Diff Evolve, which is installed through the ComfyUI Manager.
  • 📂 Download poses and place them in the input folder of ComfyUI, which will be loaded later in the workflow.
  • 🖼️ Save your Instant Lora image in the input folder and ensure it uses the same model as the one used in the Lora image.
  • 🔄 Install all the necessary requirements for Anime Diff and Instant Lora, including additional models for Anime Diff.
  • 🛠️ Install custom nodes for the workflow, including advanced control net nodes, video helper suite, and various packs for additional tools.
  • 🔄 Download the required models for the animation, such as the control net model and the Anime Diff model.
  • 🎭 Start by using a template with open pose from the Anime Diff GitHub and adjust the workflow as needed.
  • 🤖 Use the Instant Lora method by loading your reference image and connecting it to the IP adapter and other necessary nodes.
  • 🎥 To improve the animation, use the face detailer and convert the batch of images to a list for processing.
  • 📹 Finally, process all the poses and convert the runner to a new character using Anime Diff and the Instant Lora method.

Q & A

  • What is the main topic of the video tutorial?

    -The main topic of the video tutorial is how to create video animations using AnimateDiff and Instant Lora with ComfyUI, which involves img2img, vid2vid, and txt2vid techniques.

  • What are the prerequisites for using the Instant Lora method mentioned in the video?

    -For the Instant Lora method, you need the IPA adapter nodes and models, which can be easily obtained using the ComfyUI manager.

  • What is ComfyUI and what is its role in the tutorial?

    -ComfyUI is a user interface that simplifies the process of working with Stable Diffusion models and custom nodes. In the tutorial, it is used to manage models, install requirements for AnimateDiff and Instant Lora, and to set up the workflow for creating animations.

  • How does AnimateDiff enhance video animations?

    -AnimateDiff allows for the creation of animations within Stable Diffusion, providing a way to generate smooth transitions and dynamic effects in video animations.

  • What are the additional models required for AnimateDiff to function properly?

    -AnimateDiff requires additional models such as the open pose model for running poses and different models for the animation itself, like the stabilized High model mentioned in the tutorial.

  • What is the purpose of the control net in the workflow?

    -The control net is used to generate poses, depth maps, line art, or other control methods which are essential for creating the animations in the workflow.

  • How does the video guide the user to install the necessary components for the workflow?

    -The video instructs the user to use the ComfyUI manager to search for and install AnimateDiff, the IPA adapter nodes, and other custom nodes required for the workflow. It also guides the user to download and install the necessary models.

  • What is the Instant Lora method and how does it differ from traditional Lora methods?

    -The Instant Lora method allows users to have a Lora (a type of model enhancement) without any training, which differs from traditional methods that require training the model.

  • How can one improve the general definition of the animation using the workflow?

    -The tutorial suggests connecting the output of the animated fifth loader to the input of the FREU node, and then to the case sampler to improve the general definition of the animation.

  • What steps are taken to ensure the animation's face details are improved?

    -To enhance face details, the tutorial recommends using the face detailer node and converting the batch of images to a list of images using the image batch to image list node.

  • How does the video guide the user to finalize the animation and convert it into a video format?

    -The video instructs the user to use the video combine node, change the name of the generated video, adjust the frame rate, and test to ensure the face detailer works, ultimately leading to the final processed animation.

Outlines

00:00

🎨 Animation Creation with Comfy UI and Stable Diffusion

This paragraph introduces the process of creating animations using Comfy UI with custom nodes and models manager, the Instant Laura method, and the Anime Diff tool. It outlines the requirements for the animation, including the necessary software and models, and provides a step-by-step guide on how to prepare the workspace, install the required nodes and models, and set up the initial workflow for animation. The paragraph emphasizes the combination of the Instant Laura method and Anime Diff for endless creative possibilities and provides a link to download poses and the model in the description.

05:01

🚀 Workflow Testing and Animation Enhancement

The second paragraph details the workflow for testing the animation setup and enhancing the animation quality. It guides users through starting with a template from the Anime Diff GitHub, checking the correct directories for image and model loading, and adjusting the workflow for a short test. The paragraph also covers the use of different nodes to improve the animation, such as the FREU node for general definition and the context options node for motion effects. It continues with the application of the Instant Laura method, the use of the IP adapter, and the Clip Vision model. The process of generating an animation with improved face details using the Face Detailer tool and the steps to convert the batch of images to a list for further processing are also included.

10:02

🌟 Finalizing the Animation and Exploring Creative Possibilities

The final paragraph describes the completion of the animation process by processing all poses and converting the original Runner character into a new character using the Anime Diff and Instant Laura methods. It encourages users to use their imagination to explore the potential of these tools. The paragraph also suggests post-processing the video for fine-tuning and achieving better results. The video script concludes with an invitation to check the description for more information and a promise to see the viewers soon.

Mindmap

Keywords

💡AnimateDiff

AnimateDiff is a tool that allows the creation of animations using stable diffusion models. It is mentioned in the context of enhancing the capabilities of stable diffusion for generating animated content. In the video, it is used to create animations from still images, which is a core part of the tutorial's theme.

💡Instant Lora

Instant Lora refers to a method that enables the use of a Lora model without any training. It is highlighted as a way to achieve stunning results quickly. The video emphasizes how this method, when combined with AnimateDiff, opens up endless possibilities for video animation creation.

💡ComfyUI

ComfyUI is a user interface that simplifies the process of working with complex AI models and tools. It is mentioned as a requirement for the tutorial, indicating its importance in managing custom nodes and models for the animation workflow. ComfyUI is central to the video's demonstration of how to execute the animation process.

💡Custom Nodes and Models Manager

This refers to a feature within ComfyUI that allows users to manage and install custom nodes and models. It is an essential component for setting up the environment needed for the animation techniques discussed in the video. The manager is used to install AnimateDiff and other necessary nodes and models.

💡IPA Adapter Nodes

IPA stands for Image Processing Adapter, and the IPA Adapter Nodes are used to adapt images for processing within the animation workflow. They are part of the technical setup required for the Instant Lora method and are mentioned as a necessity for the video's animation process.

💡Anime Diff Evolve

Anime Diff Evolve is a specific model used within the AnimateDiff tool to create animations. It is one of the models that need to be installed for the animation process, and it is chosen for its effectiveness in producing the desired video animation results as demonstrated in the video.

💡Control Net Open Pose

Control Net Open Pose is a method used to generate poses for characters in an animation. It is mentioned as an option for creating poses that can be used within the animation workflow. The script suggests using poses from a link or creating custom poses using this method.

💡null

💡Geminix Mix Model

The Geminix Mix Model is a specific AI model used in the video for generating images. It is important because it is the model that the video's animation is based on. The video instructs the viewer to use the same model as used in the Laura image for consistency.

💡Face Detailer

Face Detailer is a tool used to enhance the quality of faces in generated images. It is used in the video to improve the facial details of the animation, making the characters more realistic. The script describes how to connect and use Face Detailer within the animation workflow.

💡Video Combine

Video Combine is a node or tool that is used to combine individual images into a video format. It is part of the final step in the animation process, where the generated images are compiled into a video with a specific frame rate as shown in the video.

💡Frame Interpolation

Frame interpolation is a technique used to increase the frame rate of a video by inserting new frames between existing ones. It is mentioned in the context of returning to the original frame rate after extracting poses every two frames. This technique helps in creating smoother animations.

Highlights

AnimateDiff and Instant Lora can be used together to create stunning video animations with ComfyUI.

ComfyUI with custom nodes and models manager is required for this tutorial.

For Instant Lora, you need the IPA adapter nodes and models, which can be easily installed using ComfyUI manager.

Anime Diff Evolve is necessary for creating animations with stable diffusion.

Download poses from the provided link and place them in the input folder of ComfyUI.

Use the same model as used in the Lora image to ensure consistency.

Install all the requirements for AnimateDiff and Instant Lora using the manager.

Additional models for AnimateDiff need to be downloaded manually.

Install custom nodes for the workflow, including advanced control net nodes and video helper suite.

Install IP adapter model depending on the model you use for your video.

Install the clip Vision model for SD 1.5.

Restart ComfyUI and refresh the workspace after all installations are complete.

Use the template with open pose from AnimateDiff GitHub for the initial workflow setup.

Check that the load image upload node is pointing to the correct directory.

Use the same VAE as the checkpoint loader and connect it directly to the decoder.

Run a first prompt to check if everything works, including poses, models, and sampler.

Improve the general definition of the animation by connecting nodes appropriately.

Use the instant Lora method by adding a load image node and connecting it to the IP adapter.

Generate a new animation with 16 frames for better results.

Use face detailer to improve face details and convert the batch of images to a list of images.

Process all the poses by setting the image load cap to zero and run the prompt.

Post-process the video to fine-tune and achieve even more amazing results.