Stable Diffusion Finetuning AI Portrait Tool (Drip Art)

Hacker News

Hi HN, My friend and I created a project called Drip.art, which makes generating images with your dreambooth model easy. here are example results of myself and our friends: https://imgur.com/a/ouXuvPi We have a FREE version of training a model and a $10 version to boost your priority (we used a lot of newer CPU only + low VRAM training technique) I was frustrated with sites charging $30-40 for running a colab when the training cost is <$1, and the results didn't look like me. You own 100% of the right to all the images generated, and all images/models will be removed after being inactive for some time or upon request. Let me know what you think!

Visit product View on Hacker NewsNov 15, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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.

Hacker NewsStrong engagement from HN community · Strong signals: 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.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% 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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: training, active · Missing: arr, mrr, revenue

23%23% 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.

Incorrect prediction on native model

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