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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…
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Balter (Build A Load TestER) is a distributed load/stress testing framework for Rust. It leverages the tokio ecosystem to make it simple to write normal Rust code which auto-scales to meet TPS requirements or to scale indefinitely until a certain error rate. Using Balter is straightforward, and load testing code looks like the following (note that its just normal Rust code, no DSL to learn). use balter::prelude::*; use std::time::Duration; #[tokio::main] async fn main() { my_scenario() .tps(500) .duration(Duration::from_secs(30)) .await; my_scenario() .saturate()…
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Balter, A Load TestER, is a new distributed load testing framework I've been working on for the past few months. It is Open Source, and designed from the ground up to support composability. This allows flexibility in the kinds of load tests you are able to run, such as fully stressing the system and then automatically turning off services; or the ability to run a background noise test, and then slam the service with traffic. Let me know what you think!
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