Converting 2D images into 3D assets requires the right tools. I've tested several options and here's what stood out:



TRELLIS 2, Hunyuan3D-2.1, and Tripo are currently leading the pack. Each one delivers different strengths depending on what you're after.

After running these through their paces, TRELLIS 2 became my go-to choice for most use cases. The quality of the 3D output was consistently solid, and the workflow felt natural.

You can export everything as GLB files, which makes them plug-and-play for most Web3 platforms and metaverse applications. The conversion process is straightforward—feed in your image, get back a production-ready 3D asset.

Whichever tool you choose depends on your specific needs. But if you're serious about scaling 3D asset creation, these three are definitely worth your time to test.
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LiquidationKingvip
· 01-06 21:46
NGL Trellis2 is indeed awesome. I struggled with Hunyuan for a long time before, and it was still a bit subpar... Directly exporting GLB saves a lot of trouble.
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NFTDreamervip
· 01-06 21:40
glb format is really convenient, directly importing into the metaverse without hassle --- Trellis2 has been used, indeed stable, but sometimes the details handling is just average --- I've tried all three, honestly, it still depends on project needs, there’s no absolute winner --- The entire Web3 3D asset creation process definitely needs to be accelerated, these tools finally arrived --- When can we directly generate motion assets? Static models are not very useful --- Tripo is fast, but I think its output quality still lags behind Hunyuan by one level --- The ability to mass-produce production-grade 3D assets is what truly changes the game
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BearMarketHustlervip
· 01-06 21:37
NGL Trellis 2 definitely works well, but sometimes the export speed is a bit slow... However, the compatibility of the GLB format really can't be beaten.
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ContractFreelancervip
· 01-06 21:36
Trellis 2 really works. I can directly put the models generated with it on the blockchain now, saving a lot of post-processing effort.
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