ModNet has several use cases in various image editing applications. One use case is in the field of graphic design, where designers can use ModNet to quickly remove backgrounds from product images and add them to different backgrounds, creating visually appealing compositions for advertisements or websites. It can also be used in the film industry for post-production editing, allowing filmmakers to easily remove unwanted elements from a scene and replace them with a more suitable background. Additionally, ModNet can be used in the development of virtual reality or augmented reality applications, where the removal and replacement of backgrounds can enhance the immersive experience. The model can also be incorporated into photo editing software, providing users with a simplified and efficient way to remove backgrounds and add new ones. By leveraging the power of ModNet, developers can create products that streamline the image editing process and enable users to create stunning visual compositions with ease.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|Stable Diffusion Dance||$?||4,741|
|Musicgen Looper Stereo||$?||43|
|Lucid Sonic Dreams Xl||$?||1,951|
|Lucid Sonic Dreams||$?||3,760|
You can use this area to play around with demo applications that incorporate the Modnet 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.
A deep learning approach to remove background & adding new background image
|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||$0.00165|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||3 seconds|