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Trellis 3D AI – Turn any image into 3D assets using AI

Hacker News

Trellis 3D AI – Turn any image into 3D assets using AI

Hi HN! I've built TRELLIS 3D AI, an open tool that converts 2D images into professional 3D assets using advanced AI technology. Technical Implementation: - Browser-based processing using WebGL - Structured LATents (SLAT) for maintaining geometric integrity - Dual output pipeline generating both GLB and 3D Gaussian formats - Real-time 3D preview using Three.js - Optimized for processing images up to 2048x2048px The core technology combines: - Pretrained vision encoders for image understanding - Rectified flow transformers for 3D geometry generation - Advanced neural networks for texture mapping Current Specs: - Processing time: ~30s per image - Output formats: GLB + 3D Gaussian - Zero external dependencies - Runs entirely client-side Currently it's using Hugging Face for processing, and I plan to implement API integration in the future to enable more advanced features. Live demo: https://trellis3d.co/ Would love your feedback and suggestions for improvements.

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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: using, code, open · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
47%47% 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
46%46% 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
44%44% 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
11%11% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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