Codeformer could be used in a variety of applications for image-to-image tasks. One possible use case is in photo restoration, where the model could be used to enhance and restore old or damaged photographs. By analyzing the image and applying advanced AI techniques, Codeformer could remove scratches, enhance colors, and bring out details to make the photo look as good as new. Another use case is in face synthesis, where the model could generate highly realistic AI-generated faces. This could be valuable in industries such as entertainment, gaming, or virtual reality, where realistic avatars or characters are needed. Additionally, Codeformer could be used in other image-to-image applications, such as improving the quality of low-resolution images or transforming images in unique and artistic ways. Overall, this AI model offers a powerful tool for enhancing and transforming images, with potential applications in various industries and creative endeavors.
- Cost per run
- Avg run time
- Nvidia T4 GPU
You can use this area to play around with demo applications that incorporate the Codeformer 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.
Robust face restoration algorithm for old photos / AI-generated faces
|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||$0.0055|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||10 seconds|