SadTalker has a wide range of potential use cases in various industries. In entertainment, it can be used to create realistic and expressive animated characters for movies and video games. This model could also be utilized in virtual reality and augmented reality applications, providing more immersive and engaging experiences by enabling realistic and interactive avatars. In the field of education, SadTalker could be used to enhance online learning platforms by creating animated instructors that can deliver lectures with realistic expressions and gestures. Additionally, this model could have applications in the advertising industry, where it could be used to create animated spokespersons that deliver persuasive messages with more realism and emotional impact. Overall, SadTalker opens up possibilities for creating innovative products and practical uses that require realistic and expressive talking face animations.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Compositional Vsual Generation With Composable Diffusion Models Pytorch||$0.01155||774|
You can use this area to play around with demo applications that incorporate the Sadtalker 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.
Stylized Audio-Driven Single Image Talking Face Animation
|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||$0.2346|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||102 seconds|