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ScribbleToArt, Turn any scribbles into art with Stable Defussion

Hacker News

ScribbleToArt, Turn any scribbles into art with Stable Defussion

Hello Hacker News community! I'm excited to share a tool that I've recently built called ScribbleToArt. It's a tool that can transform any scribbles/outlines into stunning artwork in just seconds. With ScribbleToArt, you can choose from a variety of pre-defined styles, making it easy to create beautiful masterpieces that are unique to your style. No more prompt engineering needed. ScribbleToArt is powered by Stable Deffusion(ControlNet) model I built this tool with a lot of passion and dedication, and I'd love for you to try it out and provide your valuable feedback. I'm looking forward to hearing your thoughts! Thank you for your time and support!"

Visit productView on Hacker NewsMar 26, 2023
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Actual performance

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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: model, new · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% 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, lua, hacker news · Missing: https docs, just released, exist
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
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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