Realesrgan, an image restoration model, holds the potential to revolutionize the field of image enhancement. With its ability to enhance the quality and details of low-resolution or noisy images, it opens up a myriad of use cases. For image super-resolution, Realesrgan can be used to enhance the resolution of images, allowing for sharper and more detailed visuals. In the realm of denoising, the model can effectively remove noise from images, resulting in cleaner and crisper outputs. Furthermore, Realesrgan can aid in artifact removal, getting rid of unwanted imperfections in images. With its versatility and capabilities, this AI model has the potential to be integrated into a range of applications, including photo editing software, digital restoration tools, and image processing pipelines. Its realistic and visually pleasing results make it an invaluable tool for photographers, graphic designers, and artists alike. Whether it's enhancing old photographs, improving the quality of digital media, or generating high-resolution anime images, Realesrgan offers a powerful solution for various image restoration needs.
- Cost per run
- Avg run time
- Nvidia T4 GPU
You can use this area to play around with demo applications that incorporate the Realesrgan 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.
Practical Image Restoration Algorithms for General/Anime Images
|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||$0.00495|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||9 seconds|