Micromotion Stylegan


AI model preview image
The micromotion-stylegan is a model that can decode and visualize the micromotion information contained in the latent space of a StyleGAN model. It uses a two-stage process involving a motion encoder to extract the motion information and a motion decoder to generate the corresponding micromotion video. This allows users to understand and analyze the subtle changes and variations in the generated images.

Use cases

The micromotion-stylegan AI model has several potential use cases for technical audiences. One possible application is in the field of computer vision research, where it could be used to study and analyze the micromotion information contained in latent spaces of StyleGAN models. This could lead to discoveries about the underlying dynamics and patterns in the generated images. Another use case could be in the domain of animation and visual effects, where the model could be utilized to create more realistic and nuanced character animations by incorporating micromotion details. Additionally, the model could be used in the design industry to generate and visualize subtle variations in visual elements, allowing designers to get a better understanding of how small changes affect the overall perception of a design. These potential applications suggest that products or practical uses using this model could include research tools for computer vision researchers, animation software with enhanced micromotion capabilities, and design tools to explore and iterate on visual variations.



Cost per run
Avg run time
Nvidia T4 GPU

Creator Models

Pix2pix Zero$?4,206
Night Enhancement$0.0104520,721
Mindall E$?1,645
Compositional Vsual Generation With Composable Diffusion Models Pytorch$0.01155774

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Micromotion Stylegan model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.


Summary of this model and related resources.

Model NameMicromotion Stylegan
Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$0.07315
Prediction HardwareNvidia T4 GPU
Average Completion Time133 seconds