This AI model has several potential use cases for a technical audience. One possible application is in the field of computer graphics and animation. The model's ability to create smooth and realistic animations through interpolation in the latent space could be useful in the development of video games, movies, and other forms of animation. It could also be used in virtual reality and augmented reality applications to create lifelike and immersive experiences. Another use case could be in the field of creative design. Designers could use the model to quickly and easily animate static images, bringing them to life and adding movement and dynamism to their designs. Additionally, the model could be used in the field of advertising and marketing. Advertisers could use it to animate product images, creating engaging and interactive advertisements. Overall, this AI model has the potential to be incorporated into various products and practical applications in the fields of animation, design, virtual reality, and advertising.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|No other models by this creator|
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Summary of this model and related resources.
Learning to Animate Images via Latent Space Navigation
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.03025|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||55 seconds|