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Create StableDiffusion prompts from any image

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Create StableDiffusion prompts from any image

Hey Folks, I am Vivek, one of the Founders at MagicStudio.com As we watched the explosion of creative expression with AI rendered pictures, we also noticed that there has been a struggle in discovering levers that make prompts effective. We believe that people think visually, and in order to get their imagination rendered, they can get substantial help by understanding how AI models “perceive” images. This is an attempt to give “simple” prompt ideas to someone who has a picture as a reference. You can use the prompts in any StableDiffusion class generative tool, including our own (MagicStudio.com/imagine) Looking forward to see what you folks throw at it…

Visit productView on Hacker NewsOct 28, 2022
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Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
84%84% 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, models, visual · Missing: mac, agents, macos
55%55% 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, io, including · 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 · Missing: mobile apps, ios, personal
50%50% 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
42%42% 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
15%15% 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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