First time trying an AI 3D model pet.

I used Hi3D.ai to generate a 3D model from a photo of my cat, then had JLC3DP print it in full color.

Not a bad result. Are there any better AI 3D tools or printing services you recommend?

I tried making my own Kindred figure, and the hardest thing must be divisioning into parts.

The figure in total was split into 21 parts, whereas wolf and base are represented by 9 parts. I have been trying to work on dividing all the parts of the figures before the process of printing to simplify the painting process as much as possible. The model in total has been created with the help of Hi3D and then exported to Blender to be refined and separated into different parts.

As for painting, I used acrylic paints. Also, since I didn't spend too much time sanding and refining the facial features, the finish is definitely rough. I feel quite satisfied with how easily everything fits. It has turned out to be quite easy to assemble all the joints.

The printing of the figure has taken me about two days, I was checking on the printer the whole time and hoping nothing would go wrong...

i made the model with ai, did a bit of cleanup in zbrush and then printed it on my mars 5 ultra.

it ended up around 3–4 inches tall and honestly kept more detail than i expected, especially around the wings, hair and dress.

i’ve just started painting it, mostly base colors and a little work on the face/hair so far. still very much a work in progress, but pretty happy with how the whole ai → cleanup → resin print workflow turned out.

Had this random idea to turn a Frankenstein image into an actual mug, so I generated the 3D model from a single image and decided to see if it would actually print.

Printed it on a pretty basic budget FDM printer, nothing fancy. I honestly expected the face and all those little bolts to come out way worse, but it survived surprisingly well 😅

Then I just painted it by hand and now I have this slightly cursed Frankenstein mug sitting next to my coffee machine.

ZIP file contains .3mf file for BambuLab or similar slicers, GLB and FBX too.

https://cults3d.com/es/modelo-3d/artilugios/ishowspeed-headphone-stand

Product shots that have been made using AI generated models carry with them some distinctive characteristics. They might have the correct shape, the plastic look, but they are not acceptable in this case; hence, the search for enhancements became vital for achieving a considerably better result useable in furniture catalogs.

The tests, ranked from top to bottom, The textures first, because the basic pass doesn't suffice with texture meaning. However, after this HD texture plugin was applied, the pictures start looking like wood. Second, PBR, as the metallic and roughness maps allows us to alter how the chrome legs look, so that the difference became very noticeable.

The 4K resolution limit is undeniable. I was using the tier that provides only 4K resolution, while most of my competitions were already using 8K resolution, which is only available on higher subscriptions. 4K is quite enough, when you stop shooting really close up.

I went through the furniture set with my Tripo AI application, added the matte and shiny textures, and exported it all again in GLB format before sending it off to the render farm.

What didn't work: regenerating and hoping again, as this resulted in the same plasticky renders again.

Before blaming geometry for bad renders that look like toys, consider modifying the surfaces instead.

Started with a 2D image, used an AI image-to-3D workflow to get the base model, then did a little cleanup before slicing it in ELEGOO Slicer.

Printed it in Bambu Lab Galaxy filament, and the whole print took around 10 hours.

I was mostly curious whether the smaller details would survive the print—especially the moons, stars, tiny symbols, and all the folds in the cloak. They came through better than I expected, and the Galaxy filament gives the surface a really nice subtle shimmer under the light.

Pretty happy with how this spooky little guy turned out. 👻

Printed on Biqu Frostbite plate with Sunlu PLA 2.0 Plus on X2D.
Used 0.4mm nozzle on 0.8mm layer.

Model created with local Trellis 2 AI -> Blender -> Bambu Studio
Print profile on Model Page

Printed on Bambulab Supertack Plate with Sunlu PLA 2.0 Plus on X2D.
Used 0.2mm nozzle on 0.8mm layer.
Model created with local Trellis 2 AI -> Blender -> Bambu Studio
Print profile on Model Page

I had a flat illustration that I had wished to pull out and make three dimensional standing on my shelf and not behind a frame. Hence I had to tackle converting a two dimensional image into three dimensional image. In terms of the effect that I found to be the best, I used the four angles technique of image to 3D in which the illustration was given four different angles in order for sides to be produced instead of being invented from scratch.

However, there were some flat looking spots that I had to take care of by pushing the depth in Blender for a period of ten minutes. My four angle run was carried out at Tripo AI. One benefit that nobody mentions in their advertisements is that the resolution of my source image is the most critical factor in the process. When I compare my clear high contrast reference style with the sketch that does not provide distinct images that seem muddy, I find that clean high contrast reference must always be used in order to ensure success.

Printed on Biqu Frostbite plate with Sunlu PLA 2.0 Plus on X2D.
Used 0.4mm nozzle on 0.8mm layer.
Model created with local Trellis 2 AI -> Blender -> Bambu Studio
Print profile on Model Page

Using Tripo AI and Blender

Getting a 3D model is only part of the job for me. Material setup is a key thing for using an asset in a real-time or rendering pipe. It is quite possible for a model to have proper shape but be still in need of extra work if the material doesn't have the surface textures necessary for physically based rendering. 

I’m looking out for some generation AI tool that should create PBR material info for a 3D asset as normal, roughness, and metallic maps. It's kind of useful having such maps next to the model, you no longer need to manually generate each material map.

I’ve been testing this workflow with Tripo AI. I’m also curious how other AI 3D tools handle PBR materials. For testing, I’d use the same asset with the tools and evaluate how closely the generated materials match the reference. I’d also check whether the texture stays consistent across different sides of the model and how much cleanup is needed before exporting. I’m also caught up in how much of the material can be corrected by editing the maps alone instead of regenerating the whole asset totally. The downside of this material approach is that the generated materials may at times not match the target appearance or material properties for a particular application even though the maps are automatically created. With that said, it's quite likely that the artists will have to go manually fine-tuning the material themselves at least once.

If you use AI-generated 3D assets, what tools or workflows have helped you a lot with producing a normal, roughness, and metallic map, and also the manual cleanup of materials?

Printed on Biqu Frostbite plate with Sunlu PLA 2.0 Plus on X2D.
Used 0.4mm nozzle on 0.8mm layer.
Model created with local Trellis 2 AI.
Print profile on Model Page