Hey thereSome time ago I built a site that generates AI pictures in a style of GitHub logo (https://octoart.vercel.app/). It's completely free, and even official GitHub accounts in Twitter and Instagram (yes turns out they have Instagram) posted about it. It was fun.So I thought it would be cool to build an app that works with any logo, so people can generate nice branded pictures with their logo.I went on to build https://logopictureai.com/. It's build with Next.js, Replicate API and Supabase.It's a very early version, I built it in a weekend.It works like this: your upload a logo, type a prompt (or select a predefined one), select number of variations to generate and click a button. Images will be delivered to your email in 2-3 minutes.As I said, it's pretty early and I am not sure if it's really useful. It works decently with most logos, but sometimes can generate something weird.Anyways, would love to hear your thought. Thanks!
Users express concerns about the AI's lack of deeper meaning in images and its impact on human creativity. The product's website has been criticized for poor mobile optimization, unnatural language, and spelling errors. There's interest in DIY image generation and suggestions for a free tier. Comparisons to similar free options and other AI tools suggest a need for distinct features. Users are curious about technical aspects like model size and loading times. The product is seen as potentially useful for events but lacks image resolution and selection options. The concept of using FOSS tools behind paywalls is debated.
Users criticized the Show HN product for its lack of depth and originality in AI-generated content, unappealing subscription model, poor mobile experience, and absence of a free trial or tier. The product's website was noted for having technical issues, such as broken links and poor design, and the content was deemed uninteresting with unnatural text that needs rephrasing. Additionally, users found the output quality low and the vectorization process unclear, with some preferring manual methods over AI. There were also concerns about the ethics of monetizing open-source tools without improving usability.