The object-removal model has several potential use cases that would be valuable for various industries and applications. In the field of e-commerce, it could be used to automatically remove background clutter or unwanted objects from product images, creating cleaner and more visually appealing product listings. In the world of content creation, the model could be utilized to remove unwanted elements from photos or videos, saving time and effort in post-production editing. Additionally, in the field of image forensics, the model could aid in the identification and removal of sensitive or compromising information from images, bolstering privacy and security measures. With its ability to seamlessly remove objects from images, this AI model holds the potential to be integrated into a range of products or services, such as image editing software, e-commerce platforms, or even mobile applications that offer on-the-go object removal for photos.
- 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.
|Model Name||Object Removal|
Removes specified objects from 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||$0.02475|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||45 seconds|