How to Combine ControlNet & AnimateDiff in ComfyUI for Easy and Fun Customization

"Combining ControlNet and AnimateDiff in ComfyUI is like mixing gasoline and fire 🔥. The new Gen 2 nodes in AnimateDiff are a game changer, and adding ControlNet to the mix just takes it to a whole new level. A bit of tweaking and experimentation can really enhance the output, and the possibilities are endless. It’s like creating magic with technology! ✨🎨👨‍💻"

Key Takeaways 🚀

  • Using ControlNet and AnimateDiff together in ComfyUI
  • Incorporating Gen 2 nodes into the workflow
  • Utilizing separate nodes for ControlNet
  • Applying models and prompts for better results

Hello and Welcome to Another Video 🎥

In this video, we are going to explore the process of integrating ControlNet into a workflow on ComfyUI that already has AnimateDiff. The recent update in AnimateDiff introduced Gen 2 nodes, which opens up new possibilities for enhancing our workflow. The improved functionality allows for more diverse and detailed animations, and we are excited to dive into this evolving landscape.

Incorporating Gen 2 Nodes in Workflow 🌟

After the recent update, we are now utilizing separate nodes, such as the Zoom In Lura of 02 and the version 3 stand build diffusion 1.5 motion module, to enhance our workflow. This update has expanded the capabilities, and we are keen on exploring the potential it offers. The workflow details will be available for download, enabling everyone to start experimenting with these new features.

"The evolution of AnimateDiff has introduced a new dimension to our workflow, and we are eager to explore the enhanced possibilities it brings."

Introducing ControlNet into the Workflow 🔄

To incorporate ControlNet into our workflow, we begin by loading a recorded video and applying the necessary image processing. By utilizing the Canny Edge Processor and the DW Pose Estimator, we are able to extract detailed outlines and wireframe representations from the input video. This sets the stage for further refinement and application of the ControlNet models.

ControlNet Models Features
Canny Edge Processor Outlines of the subject
DW Pose Estimator Wireframe representations

Incorporating ControlNet Models into ComfyUI 🎨

The integration of ControlNet involves applying the ControlNet model to the extracted visual elements from the video. By connecting the processed images to the ControlNet nodes and modifying the weight distribution, we aim to optimize the impact and accuracy of the applied prompts.

Optimizing Output with Weight Distribution ⚖️

The careful calibration of the weight percentages for the Canny Edge Processor and the DW Pose Estimator ensures a balanced input for the final stage. By fine-tuning the parameters, we can enhance the quality of the output and generate refined visuals for our workflow. Experimentation with these values allows for a personalized touch in our creative process.

"The synergy between AnimateDiff and ControlNet presents a myriad of possibilities to enhance our visual storytelling capabilities."

Experimentation with Workflow and Visual Output 🖌️

After integrating ControlNet and AnimateDiff, experimenting with the workflow and observing the visual output leads to insightful discoveries. As we explore different prompts and models, we are presented with an array of options to customize the output according to our creative vision. The versatility of this integration empowers creators to push the boundaries of visual storytelling.

Experimental Workflow Visual Output
Diverse Prompts Customized Results
Model Variations Creative Exploration

Conclusion and Insights 🌟

In conclusion, the combination of ControlNet and AnimateDiff in ComfyUI opens up a world of creative possibilities. By leveraging the advanced features and models, we are able to enhance the visual storytelling capabilities and amplify the impact of our creative projects. The seamless integration of these components paves the way for boundless exploration and innovation in visual design.

Key Takeaways

  • The evolution of AnimateDiff introduces Gen 2 nodes, enhancing the capabilities of the workflow.
  • Integrating ControlNet allows for detailed image processing and model application, contributing to refined visuals.
  • Experimentation with workflow and weight distribution yields personalized and impactful visual storytelling.


  • Can the integrated workflow accommodate diverse visual styles and prompts?
  • How does the weight distribution influence the final output of the integrated models?

Bold and innovative, the integration of ControlNet and AnimateDiff in ComfyUI redefines the creative landscape, offering unparalleled flexibility and refinement in visual storytelling. It’s time to unleash the full potential of this dynamic combination and embark on a journey of boundless creativity.

Thank you for being part of this exploration, and we look forward to witnessing the remarkable creations that emerge from this integration. Stay inspired and let your vision transform into captivating visuals. 🌈

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