Creating Dynamic Animations (QR Code Monster + Animatediff LCM in ComfyUI)
TLDRThis tutorial demonstrates how to create dynamic animations in ComfyUI by combining QR Code Monster with animatediff LCM. The presenter shares their experience, including common mistakes and solutions, and credits hro_conit AI for guidance. The process involves modifying the default workflow, using the LCM sampler and animate nodes, and connecting various custom nodes. The video showcases the creation of a vertical animation, integrating the animate diff model, and applying an Advanced control net with QR Monster version two. The tutorial also covers how to adjust settings for better results and emphasizes the importance of control net strength and weight to achieve appealing animations.
Takeaways
- ๐ The tutorial demonstrates creating dynamic animations using ComfyUI with QR Code Monster and Animatediff LCM.
- ๐ The process involves combining QR code monster with animated diff LCM to generate animated optical illusions.
- ๐ The creator thanks HRO.CONIT AI for guidance and shares his inspiring works on Civit AI and Instagram.
- ๐ The workflow starts by loading a default and modifying it with LCM sampler and animate diff nodes.
- ๐ The K sampler is replaced with a custom sampler node, and prompts are replaced with text and code Advanced.
- ๐ผ๏ธ A vertical animation generation is set with dimensions 512x896.
- ๐ The tutorial explains how to connect nodes and install extensions for custom sampling.
- ๐จ The animate workflow is initiated with Evolve sampling and apply animate diff model nodes.
- ๐ The model from the checkpoint is connected to evolve sampling for animation from the text point.
- ๐๏ธ VHS combine is used for the final video generation, with settings adjusted for preview.
- ๐ง The LCM settings are fine-tuned with the addition of a Lura node and adjusting the seed and model.
- ๐ The control net workflow is set up with QR Monster version two and a black and white illusion video.
- ๐ง Adjusting control net strength and weight can significantly influence the animation outcome.
- ๐จ Experimenting with different prompts and adjusting settings like CFG can create varied animations.
- ๐ The importance of having the correct input model for LCM is emphasized for successful generation.
Q & A
What is the main focus of the tutorial in the provided transcript?
-The tutorial focuses on creating dynamic animations within ComfyUI using a combination of QR Code Monster and Animatediff LCM.
Who is credited for providing guidance and sharing the process used in the tutorial?
-Hro Conit AI is credited for guiding the author and sharing his process, with his works being showcased on Civic AI and Instagram.
What is the initial step in the workflow modification process described in the transcript?
-The initial step is to load the default workflow and then modify it using the LCM sampler and the animate diff nodes.
What is the purpose of the 'sampler custom node' mentioned in the transcript?
-The 'sampler custom node' is used to replace the K sampler, allowing for the connection of the positive and negative prompts to be replaced.
What is the significance of the 'animate diff LCM' in the animation creation process?
-The 'animate diff LCM' is crucial for generating animated optical illusions and combining with the QR Code Monster to create dynamic animations.
How does the transcript suggest improving the results of the LCM?
-The transcript suggests adding a Lura node, adjusting the LCM Schuler, and playing around with the control net strength and weight to improve the results.
What is the role of the 'control net workflow' in the animation process?
-The 'control net workflow' uses the QR Monster model to influence the animation, adding a dynamic element to the generated content.
What video format is recommended for the final animation in the transcript?
-The recommended video format for the final animation is H264.
How does the transcript suggest fixing issues with the LCM workflow?
-The transcript suggests ensuring that the correct input model is downloaded and selected before generation to fix issues with the LCM workflow.
What is the recommended approach to finding the best control net strength for your animation?
-The recommended approach is to experiment with different control net strengths to determine what works best for your specific animation.
How does the transcript describe the process of combining the text-to-image prompt workflow with animation?
-The text-to-image prompt workflow is animated by animate, then controlled by a black and white illusion downloaded from motion array, with the QR code monster model influencing the generation.
Outlines
๐จ Creating Dynamic Animations with K UI
This paragraph describes the process of creating dynamic and interesting animations in K UI using a combination of QR code monster and animated diffusional latent condition model (diff LCM) to generate optical illusions. The speaker acknowledges the challenges faced and the guidance received from hroconit AI, whose inspiring works can be found on Civic AI and Instagram. The tutorial begins with loading a default workflow and modifying it using LCM sampler and animate diff nodes, replacing the K sampler with custom nodes and setting up the VAE from a checkpoint. The aim is to avoid common mistakes and demonstrate a solution to generate vertical animations by connecting various nodes and setting parameters.
๐ง Refining the Animation Workflow with LCM and Control Net
The second paragraph delves into refining the animation workflow by integrating the latent condition model (LCM) and a control net using the QR Monster model. The speaker details the steps to set up the LCM with the correct models, including the sampler LCM cycle and the animate LCM. The control net workflow is introduced, where a black and white video illusion from Motion Array is used to influence the animation. The video is uploaded and connected to the apply Advanced control net node. The speaker also discusses adjusting the frame duration and latent image space, and emphasizes the importance of tweaking the control net strength and weight to achieve appealing results. The paragraph concludes with a demonstration of how changing prompts and settings can lead to different animation outcomes.
๐ Finalizing the Animation and Encouraging Viewer Engagement
In the final paragraph, the speaker wraps up the tutorial by finalizing the animation settings and encouraging viewer engagement. The focus is on adjusting frame rates, renaming the final video, and using the QR code with anime diff as a powerful tool for creating dynamic animations from a single prompt. The addition of LCM is highlighted as a way to further enhance the animations. The speaker also provides a recap of the entire process, from the text to image prompt workflow to the influence of the black and white illusion with the help of the QR code monster model. The paragraph ends with a reminder to ensure the correct input model is downloaded and selected for the LCM workflow and a call to action for viewers to show their support.
Mindmap
Keywords
๐กDynamic Animations
๐กQR Code Monster
๐กAnimatediff LCM
๐กComfyUI
๐กVAE
๐กLCM Sampler
๐กEvolve Sampling
๐กControl Net
๐กOptical Illusions
๐กMotion Array
๐กCheckpoint Model
Highlights
Introduction of a method to create dynamic animations in ComfyUI using QR Code Monster and Animatediff LCM.
The process may have bad results, but common mistakes and solutions will be demonstrated.
Acknowledgment of hro conit AI for guidance and sharing the process.
Loading the default workflow and modifying it with LCM sampler and animate diff nodes.
Using the VAE from the checkpoint into the VAE node.
Replacing the K sampler with a custom node and connecting the low checkpoint.
Setting up the text to image workflow with the correct dimensions for vertical animation.
Adding sampler notes to the sampler custom node to fix missing connections.
Integrating the animate workflow with Evolve sampling and apply animat di Model T nodes.
Combining the two workflows to generate an animation from the text point.
Adjusting the duration of the animation and setting the video format to h264.
Using the VHS combine to finalize the generation and preview the animation.
Inputting the right settings for the LCM to improve the results.
Adding the Lura node to utilize the LCM Laura for better animation control.
Integrating the control net workflow with the QR Monster model to influence the animation.
Selecting a black and white star tunnel illusion as the influence for the animation.
Adjusting control net strength and weight to improve the animation's appeal.
Finalizing the workflow with the correct model and color settings.
Demonstrating the dynamic animation generated from a single prompt with the help of QR code monster and animate diff.
Recap of the workflow and the tools used for creating dynamic animations.