I keep getting the error message More on reddit.com

Monetization & Commercial Viability Competitive Landscape Analysis Based on data from SensorTower on relevant apps from the US App Store: The market is pretty spread out, with no dominant player. There are at least 10+ apps with monthly downloads in the tens of thousands—or even higher—and several bringing in over $10K in monthly revenue. Most have subscription models priced $5–$10 per month, and some users are willing to pay. My app’s virtual try-on feature is still quite unique among competitors. Business Considerations However, the biggest challenge for this app is that the virtual try-on API is expensive. Effective APIs currently cost around $0.1 per call. That makes it tough to offer unlimited free use, and it’s hard to break even with a typical $5–$10 subscription, considering: Conversion rates for these types of apps are usually in the lower single-digit percentages. We’d need to offer free users enough try-ons (say 5 or so) to entice them to subscribe. 30% of revenue goes to app stores. There are other backend and API costs (though minor). In short, it’s unlikely this app would turn a profit right now. Potential approaches include: Waiting for Cheaper APIs – The cost of image generation/virtual try-on might drop 10x in 1–2 years. Using Lower-Quality APIs – There are cheaper solutions, but the results aren’t great (not acceptable in my gf's opinion). Alternative Monetization – Still brainstorming; open to ideas! [Current Decision] Focus on Building, Not Monetizing: Forget monetization, treat it as a fun a side project - originally built for my gf - while making it open source for anyone who wants to try, tinker, or improve the concept. Next Steps: Open Source, Calling Devs & Marketers Developers: The app is built with React Native and Expo, supports both iOS and Android. It's open-sourced under the MIT License. New or experienced developers are welcome to join, submit issues, or PRs! https://github.com/zebangeth/ai-closet Marketing: Although profitability isn't the goal, I'd love to release it on the App Store to gather real user feedback. If you're interested in marketing and user acquisition, let’s work together to bring this from MVP to a wider audience! More on reddit.com

Checkout the "In Context Lora" for Flux: https://www.reddit.com/r/StableDiffusion/s/d3Qp3ECjpo More on reddit.com

Hi everyone! Over the last year, my partner and I built FASHN—a unique in-house AI technology that specializes in virtual try-ons. We trained our AI model from scratch, so it's not fine-tuned/open-source wrapper. We put over $70k in training the model, and it's still training every day. How it works: Upload one image of yourself, a model, an AI model (you can create that with our app) Upload one image of the garment (top, bottom, full-body) Run and get the result! You can download the image and we're also creating a public link for you that you can use anywhere. Since we got many requests from indie hackers that want to integrate it in their apps, we developed an API. I recommend going to our app first and test it through our interface. You're getting 20 free credits upon signing up! You can take a look at this guide to understand how to improve your results. Get started & more info here: https://fashn.ai/products/api Link to the docs: https://docs.fashn.ai/ The results we got so far are some of the best you can find in terms of accuracy and runtime. Attached a demo video we made with a friend's fashion brand. Would love to get your feedback! More on reddit.com