Rubbrband – Evaluating generated images at scale

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Rubbrband – Evaluating generated images at scale

Hey HN! We’re the founders of Rubbrband ( https://www.rubbrband.com/ ), a evaluation platform for image generation models like Stable Diffusion. We provide a monitoring application to detect deformed human features in AI generated images at scale. For example, we automatically flag images of people with deformed eyes or hands. We’ve worked with several companies leveraging generative image models in production, and found that one of the main problems is that it’s hard to filter images for good quality sample at scale. Typically, teams will have to manually look through the images for these samples, which is slow and expensive. We wanted to build a monitoring solution that lets you to see all of the images you’ve generated, and to automatically be alerted when an image was generated with a deformity. We’ve started by building evaluators that detects deformities in human features, like face and hands. We’re focused on expanding rapidly into build evaluators for other types of images, like gaming and design assets. We charge using a storage-based pricing model. Rubbrband costs 5¢ per image to use, with your first 1000 images uploaded free. We’d love to hear your thoughts and critiques, if you have any feature requests please let us know!