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MICROSOFT DROPPED A 4B PARAMETER MODEL THAT TURNS ONE IMAGE INTO A 3D ASSET IN 3 SECONDS and it's open source TRELLIS.2 fully textured, physically accurate 3D models with PBR textures out of the box not a rough mesh..not a placeholder roughness, metallic, opacity the kind of detail that... show more

Vaishnavi

21,423 subscribers

355,536 Aufrufe • vor 5 Monaten •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

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33 Kommentare

Profilbild von HangTyrantsHigh

HangTyrantsHighvor 5 Monaten

The entire team is Chinese

Profilbild von Sean Shadmand

Sean Shadmandvor 5 Monaten

It is amazing how well it did, and just as amazing at how wrong some simple parts were.

Profilbild von Yishan

Yishanvor 5 Monaten

Yeah it works ok

Profilbild von Eri.ck

Eri.ckvor 5 Monaten

Hmmmmm look at the prerequisites... 😶

Profilbild von CRIME ☠️

CRIME ☠️vor 5 Monaten

this is one of those few times when i don’t have to check the actual model to call bullshit on your shilling ass, because it’s far too obvious. shame on you.

Profilbild von Thomas Orre

Thomas Orrevor 5 Monaten

Women are going to use this to 3D print all the dick pics they get.

Profilbild von tang | AI Product Maker

tang | AI Product Makervor 5 Monaten

the gap most people miss: 'fully textured 3D' from one image is viewer-grade, not engine-grade. great for product previews and AR mockups. drop one into Unity and you'll spend the saved time on retopology + UV unwrap + LODs anyway. tested 3 of these last month for a video pipeline — only 1 mesh was clean enough to skip cleanup.

Profilbild von Kohan 🏛🏛🏛

Kohan 🏛🏛🏛vor 5 Monaten

just tried it...horrible model. Maybe take a bit longer than 3 seconds?

Profilbild von Matthew Rogers

Matthew Rogersvor 5 Monaten

4 months ago, these reposts are cancer.

Profilbild von Les coulisses du Kleioscope 🛠

Les coulisses du Kleioscope 🛠vor 5 Monaten

huggingface demo: Error. After nothing, got the message: You reach you limit. Please upgrade to 9$ tier. As a good µ$oft tool it's a joke 😜

Profilbild von Randy Sharp

Randy Sharpvor 5 Monaten

Trellis2 has been out for a while. That is an impressive demo that you showed. Yes, it does what yuou described; but the geo that is generated is, currently, good in a limited fashion. As a professional 3D artist the resulting geo has a limited scope. Will this change? I am sure so, but right now - it is nice, but limited in scope and application.

Profilbild von Paulera

Pauleravor 5 Monaten

Like 5 months ago lol

Profilbild von 🇺🇸 Josh 🇺🇸

🇺🇸 Josh 🇺🇸vor 5 Monaten

bullshit you cant extrapolate interior shapes w exacting precision from a single photo

Profilbild von BullMoon

BullMoonvor 5 Monaten

Open source 3D from a single image in 3 seconds. The demo is impressive. Maintaining texture quality across different lighting conditions is where it gets real.

Profilbild von Kelly Lawson

Kelly Lawsonvor 5 Monaten

Optimized topology or a million billion vertices?

Profilbild von Joe

Joevor 5 Monaten

I've done some benchmarking and analysis on this model running locally on consumer hardware. It's also worth noting that this model has been out for some time.

Profilbild von David Rittinghaus

David Rittinghausvor 5 Monaten

@TencentHunyuan THIS is how you do OPEN SOURCE ... open and everyone can actually use it ...

Profilbild von terminalnotes

terminalnotesvor 5 Monaten

Damn, microsoft finally taking a teny tiny step.

Profilbild von Tiged 🐯

Tiged 🐯vor 5 Monaten

ok but what happens when artists start feeding it concept art directly

Profilbild von Pavan Singh Uikey

Pavan Singh Uikeyvor 5 Monaten

Things are becoming cheaper

Profilbild von GetPaidX.com

GetPaidX.comvor 5 Monaten

nice does it work with Bambu A1 printer

Profilbild von GregoryG

GregoryGvor 5 Monaten

Yeah but it’s been out since dec 2025, right ? Or am I missing something ?

Profilbild von Alexandre de Vigan

Alexandre de Viganvor 5 Monaten

Yes

Profilbild von Darkjayson

Darkjaysonvor 5 Monaten

Here are some tips, use an image where the background is transparent and the subject is in the foreground. Have the subject completely in frame. Pick something that is easy or naturally 3D to start with.

Profilbild von Santhosh Shyamsundar

Santhosh Shyamsundarvor 5 Monaten

@grok can this do sdf and frep ?

Profilbild von Brandon Smith

Brandon Smithvor 5 Monaten

I wish @MaxonVFX could do this. Anytime I import a CAD, texture it, and then attempt to split it with Boole it more than likely will fail (and very possibly crash the software). Voronoi fracture is INCREDIBLY slow.

Profilbild von Ryan Dion

Ryan Dionvor 5 Monaten

Sweet, now, 3D print

Profilbild von plainscope

plainscopevor 5 Monaten

That 4B parameter model's open-source - that's a big deal. Could make 3D asset creation way more accessible.

Profilbild von Technophile

Technophilevor 5 Monaten

3d printing about to become much easier

Profilbild von Chavenay🍎🐡👹🐧🦋

Chavenay🍎🐡👹🐧🦋vor 5 Monaten

@llmgram

Profilbild von Pranay Reddy | building with AI

Pranay Reddy | building with AIvor 5 Monaten

Microsoft was silent all these days and now cooking with launching free open source model for the users that are really efficient; Previously it was a 7B voice model and now with a 4B 3D asset model

Profilbild von DrunkenMonkey

DrunkenMonkeyvor 5 Monaten

Problems with every single model as of April 27, 2026. Zero Clean code. Zero TDD compliance. Zero Observability. Zero Verification workflows. Nothing is built in. AI models cannot become productive until these guard rails are built in. Vibing with zero verifiable results...

Profilbild von aldykharisma

aldykharismavor 5 Monaten

i'm having trouble understamding what this thing actually does or how a 4n parameter model works, can someone break dowb the math behind it for me?

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29,806 Aufrufe • vor 1 Monat

Just how capable are open source models? Below is the first in a new series where we go behind the scenes and pull back the curtain on interesting AI research / demos, making them fun and easy to understand. Here, we have a short visual demonstration from aizk ✡️ showcasing how Kimi K3 (a language model that operates primarily through text) is capable of building complicated 3D structures / moments in history in Minecraft, something that previously was not possible with other open source models, and why this matters. The crazy part? The model doesn't "see" the game like we do. The LLMs must reason in pure text, writing JavaScript, that later compiles down into commands placing each block, one at a time. Spatial reasoning is a very hard problem in AI, it's the same core challenge behind robotics and self-driving cars, where a model has to understand and act in physical 3D space. Watching a text model pull it off is nothing short of a miracle. The point isn't just Minecraft itself, rather, it's AI being able to generalize, not memorize, on things that are weird and beyond their training data. This is key to building true artificial general intelligence. These video game benchmarks (there are many different games actively being researched right now) provide a clear-cut end goal, challenges that are almost certainly not in the training set, and a fun, very fast, visual way to almost feel the increasing capabilities of various open source AI models over time. If you haven't given open source models a serious try yet, watch the video, it may shock you!

Just how capable are open source models? Below is the first in a new series where we go behind the scenes and pull back the curtain on interesting AI research / demos, making them fun and easy to understand. Here, we have a short visual demonstration from aizk ✡️ showcasing how Kimi K3 (a language model that operates primarily through text) is capable of building complicated 3D structures / moments in history in Minecraft, something that previously was not possible with other open source models, and why this matters. The crazy part? The model doesn't "see" the game like we do. The LLMs must reason in pure text, writing JavaScript, that later compiles down into commands placing each block, one at a time. Spatial reasoning is a very hard problem in AI, it's the same core challenge behind robotics and self-driving cars, where a model has to understand and act in physical 3D space. Watching a text model pull it off is nothing short of a miracle. The point isn't just Minecraft itself, rather, it's AI being able to generalize, not memorize, on things that are weird and beyond their training data. This is key to building true artificial general intelligence. These video game benchmarks (there are many different games actively being researched right now) provide a clear-cut end goal, challenges that are almost certainly not in the training set, and a fun, very fast, visual way to almost feel the increasing capabilities of various open source AI models over time. If you haven't given open source models a serious try yet, watch the video, it may shock you!

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39,769 Aufrufe • vor 1 Monat

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 Aufrufe • vor 1 Monat

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

🔥 img2threejs × GPT-6 Astra × Hyper3D Live showcase: This is probably one of the most commercially valuable workflows I’ve tested so far. Image → Hyper3D → img2threejs → GPT-6 Astra → Interactive Three.js experience. 1/ Hyper3D handles the 3D reconstruction. 2/ img2threejs turns that result into a structured workflow that an AI coding model can actually work with. 3/ And GPT-6 Astra follows the img2threejs pipeline - turning the reconstructed asset into a structured, editable, and interactive Three.js experience with animation, VFX, lighting, and application logic. The important part isn’t just generating a 3D model, It’s what happens after the model exists. Instead of ending with a static asset, you can continue building around it with code: → Games → Interactive product experiences → 3D websites → Character showcases → Virtual worlds → Rapid prototypes 3D generation becomes the beginning of the workflow - not the final output. And when you combine high-quality reconstruction with an AI model capable of understanding and building the surrounding experience, the path from image → 3D → usable product becomes dramatically shorter. This is exactly the direction I want to push img2threejs. More experiments with OpenAI GPT-6 Astra × Hyper3D by Deemos are coming this month. 👨‍🍳

Nick

12,239 Aufrufe • vor 21 Tagen