AnimateDiff ControlNet Animation v1.0 [ComfyUI]
TLDRThis tutorial outlines a workflow for creating animations using AnimateDiff ControlNet and ComfyUI. It instructs users to download JSON files, set up a workspace, and utilize extensions for After Effects. The process involves importing images, creating control net passes, and rendering frames. The script details selecting a model, adjusting settings, and using prompts for animation. It also addresses common issues, offers solutions, and encourages users to share their creations.
Takeaways
- ๐จ The animation process involves using Animate, Diff, and Comfy UI to create animations from JSON files.
- ๐ Download the JSON files from the description and drag them into the Comfy UI workspace.
- ๐น Use a dance video as reference and downscale it to a resolution between 480p and 720p.
- ๐ผ๏ธ Export the downscaled video as a JPEG image sequence for initial control net passes.
- ๐ Import the JPEG images into Comfy UI and apply two passes: Soft Edge and Open Pose.
- ๐ Organize the images into two folders named HD and Open Pose for easy management.
- ๐ Render all control net images and use a control net passes JSON file for convenience.
- ๐ Choose the animation style (realistic, anime, or cartoon) and set the resolution nodes to match the reference video.
- ๐ Divide the images into batches to accommodate PC capabilities and use skip frames and batch range nodes for rendering.
- ๐ญ Test the animation with a small number of frames to ensure quality before rendering the entire sequence.
- ๐ง Troubleshoot and fix any issues with the animation, such as face rendering, using additional tools like automatic 1111 and detailer extensions.
Q & A
What is the main purpose of the AnimateDiff ControlNet Animation v1.0 [ComfyUI]?
-The main purpose of the AnimateDiff ControlNet Animation v1.0 [ComfyUI] is to provide a workflow for creating animations using a combination of Animate, Diff, and Comfy UI tools, along with automatic control net passes.
How can one obtain the JSON files required for this animation workflow?
-The JSON files required for the animation workflow can be downloaded from the description provided along with the tutorial.
What is the first step in using the AnimateDiff ControlNet Animation v1.0 [ComfyUI]?
-The first step is to drag and drop the downloaded files into the Comfy UI workspace.
What are the necessary extensions required to use this workflow?
-To use this workflow, one needs to have the Comfy UI extensions installed.
How is the reference video used in the animation process?
-The reference video is used to create a new composition in After Effects, which is then downscaled to a smaller resolution and exported as a JPEG image sequence for making the initial control net passes.
What are the two control net passes needed for the animation?
-The two control net passes needed are Soft Edge and Open Pose, which are saved with their respective prefixes for better organization.
How can one test if the control net images are rendering in sequence?
-To test if the images are rendering in sequence, one can cap the images to 10 and render them. If they render correctly, one can then render all the frames.
What are the different model styles available in the animation workflow?
-The available model styles in the animation workflow are realistic anime and cartoon.
How does one set the dimension for the animation?
-The dimension is set to the same width and height ratio as the reference video used in the project.
What is the purpose of the skip frames and batch range nodes in the workflow?
-The skip frames and batch range nodes are used to manage the rendering process by skipping certain frames and setting the range of frames to be processed in batches, which helps in handling large numbers of images and optimizing rendering time.
How can one fix disproportionate faces in the animation?
-Disproportionate faces can be fixed by using the automatic 1111 image to image tab, selecting the model used during the animation, and using the negative embedding for better results. The ad detailer can be enabled for additional refinement, and the images can be upscaled using tools like Topaz Gigapixel AI.
Outlines
๐จ Animation Workflow Setup
This paragraph outlines the initial steps for setting up an animation project using Comfy UI and Animate,Diff. It instructs the user to download JSON files and import them into the workspace, requiring specific extensions. The process involves using a reference video, downscaling it, exporting as JPEG images, and creating control net passes. The paragraph emphasizes the importance of organizing files and testing rendering sequences to ensure smooth workflow.
๐๏ธ Customizing Animation Parameters
The second paragraph delves into customizing the animation parameters by selecting the style of animation (realistic or cartoon) and setting the model loader node accordingly. It details the process of setting resolution nodes, skip frames, and batch range nodes. The paragraph also explains the use of control net units and sampler nodes, highlighting the efficiency of rendering with pre-rendered control net images. It advises on managing PC capacity and splitting batches to avoid minor issues.
๐ฅ Testing and Rendering Animation
This part describes the testing and rendering process of the animation. It instructs on copying control net pass images into their respective nodes and preparing the animation for a test run. The paragraph mentions the use of positive and negative prompts and the importance of rendering faces properly. It also discusses the use of a high-performance GPU for rendering a large number of frames and adjusting settings based on the laptop's capacity. The paragraph concludes with a note on rendering the final animation and the potential for creating numerous artworks with this workflow.
๐ฌ Community and Support
The final paragraph focuses on the community aspect of the animation workflow. It encourages users to share their creations and any issues they encounter. The author offers support and guidance through Discord, inviting users to reach out for help or to share their work. The paragraph ends on a positive note, emphasizing the joy of creating tutorials and the value of user feedback and support.
Mindmap
Keywords
๐กAnimateDiff
๐กControlNet
๐กComfyUI
๐กDance Video
๐กAfter Effects
๐กRender
๐กModel Loader
๐กBatch Range
๐กPrompts
๐กDetailer
๐กUpscaling
Highlights
Create animations using Animate, Diff, and Comfy UI in a streamlined workflow.
Download JSON files from the description for tutorial use.
Drag and drop reference video into After Effects for initial setup.
Downscale video to a resolution between 480p and 720p for efficient processing.
Export video as a sequence of JPEG images for control net creation.
Import JPEG images into Comfy UI using the 'Load Images from Directory' node.
Render two control net passes: Soft Edge and Open Pose for detailed animation.
Organize rendered images into folders for Soft Edge and Open Pose.
Include the provided Control Net Pass JS file for easy workflow integration.
Select animation style (realistic, anime, or cartoon) and set resolution nodes to match the reference video.
Adjust batch range and skip frames for efficient rendering based on PC capabilities.
Use control net passes as input nodes in the animation workflow for precise control.
Test animations with a small batch of images to ensure correct rendering.
Render final animation, focusing on face details for realistic outcomes.
Fix any disproportionate faces using the Automatic 1111 image to image tab.
Upscale images using AI technology like Topaz Gigapixel AI for enhanced quality.
Sequence and render the final video in After Effects with color corrections and zoom adjustments.
Share your creations and get support from the community on Discord.