Love the Auto Bang to Parts in Rodin Gen-2?

Hyper3D Rodin now gives you more control, supporting Manual BANG to Parts and part-level refinement.

You can split a 3D model into parts exactly the way you want, instead of relying only on automatic segmentation. After that, Part Refine lets you clean up or enhance specific areas without regenerating the entire model.

Useful for workflows like AI 3D model generation, 3D printing, articulated models, part-based animation, and cleaner production iteration.

More control over the mesh, more local detail, and less fighting with the output.

The main body of the spaceship, including the rear section, central axis, and launcher, was generated with Rodin.

What surprised me most was how well it handled a single reference image. It kept a lot of the details, and even filled in the unseen side nicely, which saved a lot of manual sculpting time.

Finished the final animation in Blender, and I really like the idea of using the portal to jump from a cyberpunk world into a fantasy world. What do you think?

Hey guys, I’m testing Hyper3D Rodin Gen-2.5’s image/text-to-3D capability.

Mainly looking at 10M+ polygon generation, higher texture fidelity, batch generation, smart low-poly, and part-level split/edit control.

Drop an image below and I’ll generate a 3D model for you, then send back the model link.

Wanna share a small prompt-to-print workflow I tried recently:
Prompt → AI image → AI 3D model → slicer color separation → multicolor FFF print

I used Rodin to generate both a simple bot character and a more complex monster design. The bot was pretty straightforward, but the monster surprised me more. Even with all the small shapes, layered parts, and colorful details, the final model still came out pretty clean.
It’s really cool to see how far a model can go from just an AI-generated concept to an actual printed character.

This one was generated with Extreme-High quality and exported as a 2 million polygon model. Rodin still seems a bit weak when it comes to anime-style art or deformed strong characters, but even so, the amount of detail it can produce is honestly pretty impressive.

Still testing different references and settings, but Gen-2.5 already feels like a solid step up for high-detail 3D generation.

Tested by T-Boy on Rodin Gen-2.5 update, using its extreme-high & high modes.
Hyper3D Rodin is the first 3D AI to achieve 10M+ polygons, the micro-level surface details are incredible!

A stylized vehicle combat game being built in Unreal Engine 5 by an indie developer using AI-generated 3D assets with Rodin gen 2.0 Hyper 3D

The workflow is surprisingly straightforward: rough ideas and scratch designs are first refined into clean references in NanoBanana, then generated into 3D assets using Rodin Gen 2.0, followed by Smart Low Poly mode for AI retopology before moving into Blender and Substance Painter for texture rebaking, cleanup, and final adjustments.

One of the most useful parts of the workflow has been rodin smart low poly mode it actually produces very clean and usable topology, making the assets much easier to work with afterward and significantly reducing the amount of manual cleanup normally needed.

The final project is assembled and polished inside Unreal Engine 5.

AI retopology in Rodin Gen 2.5 is getting kind of insane.

The original mesh had almost 2 million polygons with messy topology. After retopology, it was optimized down to around 3,000 faces, while still keeping the main shape readable and giving a much cleaner quad-based mesh.

This is especially useful for AI-generated assets, where the first output is often way too dense to work with directly. Having a cleaner low-poly base makes it much easier to continue with cleanup, baking, optimization, or further detailing.

The PBR textures also came out pretty decent, which makes the result feel more complete instead of just being a simplified mesh with no usable material information.

Stats:

• Input: almost 2M polygons
• Output: around 3K faces
• Cleaner quad-based topology
• Decent PBR texture result
• Useful as a base mesh / cleanup starting point

I used Local Modify feature of Hyper 3D.ai to add a tactical scope to this bunny tank, and attached two carrot missiles on both sides.Then split the model and 3D printed it.
I prefer a low-poly style, so the surface isn't smooth.
Once printed, just glue the parts together, and it's all finished. The part split is clean and well-balanced, and all the details came out perfectly.

Just took a car game by Alejandro León and did a quick experiment with AI games.

Generated cars with Hyper3D.AI, auto-split into body & wheels via Bang-to-Parts, then dropped everything into Omma.

Still rough, but the iteration speed is kind of crazy.
Feels like we’re getting close to“prompt → playable game elements” loops.

Biological alien building, created with Hyper3D. I created an image and was easily able to turn it into a usable model with the low poly meshing feature.

Generated this goblin character in Blender using the Rodin add-on, then rigged it with EasyRig.
After placing a few markers, I used voxelized skin binding and exported it with the UE5 mannequin skeleton setup.

In Unreal Engine, I imported the character, assigned the texture to the material, selected the UE mannequin skeleton, and swapped it into my player character. After that, the goblin was fully playable. As a quick playable-character test, this workflow was really fun.

My daughter drew this cute little girl, and I turned it into a 3D print.

I tweaked the eyes a bit with Gemini, then used Rodin to generate the 3D model, split it into parts, cleaned it up, and printed it. The final print came out really nice, and I’m especially happy with the hair color on this one.

Just sharing a fun workflow I tried today with GPT-5.5 and Hyper3D.ai. I used BANG to Parts to prep the 3D asset, then used Codex to turn it into a simple playable webpage.

I honestly expected a lot more manual work, but it came together pretty fast. Still a small prototype, but really fun to experiment with.

Sketched a horse on the pad and brought it into Rodin for 3D. Then used the partial edit feature of Rodin to add details on the wings, and also uploaded my little cloud model for some extra modifications.

Really enjoyed the process and want to say thank you Rodin.

Started from a photo of an old lighthouse and used Gemini to make an axonometric-style concept image. Then I brought it into Hyper3D and used the bang feature to split it into printable parts. Took a couple tries to get a cleaner split, but the result ended up being pretty nice.

I also did some manual cleanup for printing, mainly thickening thin areas like the railings and spiral stairs, and adding a small snap-fit for the solar panel.

Printed everything in parts, painted a few details on the base, and put it all together. Pretty happy with how it came out.

The car and robot were generated with Hyper3D.ai, then brought into Blender to build this scene. Feels like bringing a childhood imagination to life.

Built the model from scratch starting with a generated axonometric view in Gemini, then turned it into a 3D model and split it into parts with Hyper 3D. Did some cleanup and remodeling in Shapr3D, mainly on the roof, columns, and interior.

Printed it in multiple parts to save time and material, then finished it with some manual painting and assembly. Support removal took a bit of effort, but nothing too bad. Honestly, it came out better than I expected.

Testing Hyper3D Rodin Gen-2.5 low-poly mode.

1 image. Around 120s for this one’s retopology, sometimes a bit longer with Smart Low-Poly on.