AnimateDiff + Instant Lora: ultimate method for video animations ComfyUI (img2img, vid2vid, txt2vid)
TLDRThis tutorial showcases how to create stunning video animations using ComfyUI with custom nodes and models manager, along with the powerful combination of AnimateDiff and Instant Lora. It guides viewers through the process of setting up the necessary nodes and models, including the IPA adapter and Anime Diff, to generate animations without extensive training. The video demonstrates how to use poses and reference images to animate characters and enhance details with tools like Face Detailer. The result is a seamless transformation of static images into dynamic animations, opening up endless creative possibilities for content creators.
Takeaways
- π The tutorial demonstrates how to create animations using ComfyUI with custom nodes and models manager.
- π¨ To animate with Stable Diffusion, you'll need the 'Animate Diff Evolved' plugin installed through ComfyUI Manager.
- π§ For the Instant Lora method, you require the IPA adapter nodes and models, which can be easily installed using ComfyUI Manager.
- π The script instructs to download poses and place them in the input folder of ComfyUI, which will be loaded later in the workflow.
- πΌοΈ It's important to save your Instant Lora image in the input folder and use the same model as in the Lora image for consistency.
- π The tutorial covers installing additional models for Animate Diff and the IP adapter, which are necessary for the workflow.
- π οΈ Custom nodes such as Advanced Control Net Nodes, Control Net Pre-processors, Video Helper Suite, and others are required for the workflow.
- π The process involves using a template with Open Pose from Animate Diff's GitHub and adjusting it to the specific needs of the animation.
- π₯ The video explains how to set up the workflow, including loading the correct models, setting up the control net, and running initial tests.
- π€ The Instant Lora method is applied by connecting the reference image and models to the appropriate nodes in the workflow.
- π To improve the animation, the tutorial suggests using the Face Detailer node and converting the batch of images to a list for processing.
- π The final result is a new character animation created by combining Animate Diff and the Instant Lora method, with possibilities for further post-processing.
Q & A
What is the main focus of the video tutorial?
-The main focus of the video tutorial is to demonstrate how to create video animations using AnimateDiff and Instant Lora with ComfyUI, a custom nodes and models manager.
What are the basic requirements to start with the tutorial?
-To start with the tutorial, you need to have ComfyUI with custom nodes and models manager installed, along with the other basics listed in the description.
What is the Instant Lora method and how does it benefit the animation process?
-The Instant Lora method allows you to have a Lora (Low-Rank Adaptation) without any training, which can be combined with AnimateDiff to create animations with stunning results.
How does AnimateDiff work with Stable Diffusion?
-AnimateDiff is used to create animations in Stable Diffusion, allowing for the generation of video content from the still images produced by Stable Diffusion.
What are the steps to prepare for the animation process using ComfyUI?
-The preparation steps include downloading poses, saving your Instant Lora image in the input folder, and using the same model as used in the Lora image in the video.
Why is it important to use the same model as used in the Lora image?
-Using the same model as in the Lora image ensures consistency and compatibility throughout the animation process, leading to better results.
What are some of the custom nodes and models that need to be installed for the workflow?
-Some of the custom nodes and models that need to be installed include the Advanced Control Net nodes, Control Net pre-processors, Video Helper Suite, Impact Pack, Inspire Pack, and WIS node Suite package.
How does the video guide the user in installing the required models for the animation?
-The video instructs the user to start with the Control Net model, specifically the Open Pose model, and then download the model for AnimateDiff, with options to test different models for varying results.
What is the role of the Freu node in the workflow?
-The Freu node is used to improve the general definition of the animation by connecting the output of the animated fifth loader to the input of the Freu node.
How does the Instant Lora method integrate with the AnimateDiff workflow?
-The Instant Lora method is integrated by adding a load image node to load the reference image, connecting the model from the checkpoint loader to the IP adapter loader, and using the clip vision input to connect to the animate diff loader.
What additional steps are taken to enhance the quality of the animation?
-Additional steps include using the face detailer to improve facial details, converting the batch of images to a list for processing, and post-processing the video to fine-tune and achieve even more amazing results.
Outlines
π¨ Animation and Instant Laura Tutorial Setup
This paragraph introduces the video tutorial about creating animations using stable diffusion and the Instant Laura method. It outlines the necessary software and models, including Comfy UI with custom nodes and models manager, and the specific models required for both animation and Instant Laura. The viewer is guided to download poses and prepare the input folder in Comfy UI, and to use the same model as in the reference Laura image. The paragraph also details the installation of various nodes and models needed for the workflow, such as the advanced control net nodes, video helper suite, and the IP adapter nodes. The process includes downloading additional models for animation and setting up the Comfy UI workspace with the correct nodes and models for the animation process.
π Workflow Testing and Animation Creation
The second paragraph delves into the practical steps of testing and creating animations. It describes how to set up the workflow using the template from the animate diff GitHub, checking the load image and control net model nodes, and adjusting the workflow for a test run. The paragraph guides the viewer on how to use specific sampler settings and prompts, and how to improve the animation's definition by incorporating the FREU node. It also explains the process of using the Instant Laura method, which involves loading a reference image and connecting various nodes to create an animation that resembles the Laura character. The paragraph further discusses enhancing the animation with face detailer and converting the batch of images to a list for processing, concluding with generating a new animation with improved face details.
π Finalizing the Animation and Exploring Creative Possibilities
The final paragraph focuses on the completion of the animation process and the creative potential unlocked by the methods introduced. It details the steps to process all poses using the load images node and convert the original Runner into a new character with animate diff and the instant Laura method. The viewer is encouraged to use their imagination to explore the capabilities of these methods for creating unique animations. The paragraph concludes by suggesting post-processing to achieve even more refined results and inviting the viewer to check the description for more information on the method.
Mindmap
Keywords
π‘AnimateDiff
π‘Instant Lora
π‘ComfyUI
π‘IPA adapter nodes
π‘Anime Diff
π‘Control net
π‘GIF images
π‘Face Detailer
π‘Image batch to image list
π‘Video combine
Highlights
AnimateDiff and Instant Lora can be combined for stunning video animations.
ComfyUI with custom nodes and models manager is required for this tutorial.
Instant Lora method allows creating a Lora without any training.
Anime Diff Evolve is needed 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 for consistency.
Install all requirements for AnimateDiff and Instant Lora using the manager.
IPA adapter nodes and models are necessary for the Instant Lora method.
Advanced control net nodes are useful for generating custom poses, depth maps, and line art.
Install video helper Suite custom nodes for loading poses and generating GIF images.
Download the required models for the animation, including the control net model and AnimateDiff model.
Optional models like Luras and Anime Diff can introduce camera effects.
Use the IP adapter model for the Instant Lora method depending on the model used.
Install the Clip Vision model for SD 1.5 to complete the setup.
Start by using the template with open pose from AnimateDiff GitHub.
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 with the correct models and sampler settings.
Use the Freu node to improve the general definition of the animation.
Add a motion Lora to introduce slight zoom out effects in the image.
Use the instant Lora method by adding a load image node for your reference image.
Connect the model from the checkpoint loader to the IP adapter loader.
Use face detailer to improve face details in the animation.
Convert the batch of images to a list of images for face detailer to work properly.
Revert the image list from face detailer to image batch for video combining.
Change the frame rate to 12 to match the original video's frame rate.
Process all the poses by setting the image load cap to zero and running the prompt.
Post-process the video to fine-tune and achieve even more amazing results.