Generate Stable Diffusion scenes around 3D models

Hacker News

3D-to-photo is an open source tool for Generative AI product photography, that uses 3D models to allow fine camera angle control in generated images. If you have 3D models created using the iOS 3D scanner you can upload them directly on to 3D-to-photo and describe the scene you want to create. For example: "on a city side walk" "near a lake, overlooking the water" Then click "generate" to get the final images. The tech stack behind 3D-to-photo: Handling 3d models on the web: @threejs Hosting the diffusion model: @replicate 3D scanning apps: shopify,Polycam3D or LumaLabsAI

Visit product View on Hacker NewsOct 19, 2023

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

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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