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Used AI to turn people into GigaChads

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Used AI to turn people into GigaChads

Hey folks! I want to share a project I've been working on during my free time over the past few months. It's a mobile app that uses AI to turn people into over 30 famous meme images: from GigaChad to DiCaprio. You can check out some of the results here: https://mememes.app/ I was inspired by the Remix option in Midjourney. At the end of 2022 I saw an article how people using this feature combine two pictures and get some crazy results mixing people with animals and generating new memes. Later, to have a little fun, I decided to prank my friend using the Midjourney Remix with his photos. However, I wasn't satisfied with the results. So I built my own pipeline using Stable Diffusion + DreamBooth + some other components, and created a few images by mixing his face with memes. Results were hilarious and I decided to build MeMemes app. I hope you all enjoy it and have some fun, and would love to hear your feedback!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
91%91% 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 · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
53%53% 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 · Strong signals: month · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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.

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