Edit images with AI by describing changes in plain English

Hacker News

Hi HN! I'm Simon, one of the creators of PicassoPix (https://picassopix.com/), a new AI-powered tool for generating and editing images. I'm excited to share that we've just launched an AI image assistant that can create, modify, and enhance images based on your written instructions. It's like having a versatile AI artist and editor at your fingertips. With PicassoPix, you can: - Generate original images from scratch by describing what you want to see - Turn selfies into styled portraits - Edit and modify existing images using simple text instructions - Remove backgrounds, colorize black & white photos, and upscale image resolution - Create custom stickers and graphics All of this is available through one simple chat-like interface. Just type what you want, upload an image if you're editing, and our AI will make it happen. We're offering free credits upon sign up so you can test out all the features. Since we've just launched, there may still be some bugs or rough edges. Your feedback and testing at this early stage would be invaluable in helping us improve! We'd really appreciate you taking it for a spin and letting us know what you think. You can try PicassoPix right now at https://picassopix.com/. Sign up for your free credits and discover a whole new way to create and edit images with the power of AI. Looking forward to hearing about your experiences and getting your suggestions. Thanks in advance! Simon

Visit product View on Hacker NewsApr 11, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, plain · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, exist, lua · Missing: https docs, just released, open source

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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