AnimateDiff + Instant Lora: ultimate method for video animations ComfyUI (img2img, vid2vid, txt2vid)
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
🎨 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.
🚀 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.
🌟 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
💡Instant Lora
💡ComfyUI
💡Custom Nodes and Models Manager
💡IPA Adapter Nodes
💡Anime Diff Evolve
💡Control Net Open Pose
💡null
💡Geminix Mix Model
💡Face Detailer
💡Video Combine
💡Frame Interpolation
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.