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Microsoft open-sourced a 4B model that turns any image into a production-ready 3D asset in 3 seconds. It’s called TRELLIS.2, a fully textured, physically accurate 3D models with PBR textures out of the box. → Full PBR (base color, roughness, metallic, opacity) → Handles hair, cloth, glass, non-manifold geometry... show more

Superman

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283,528 görüntüleme • 1 ay önce •via X (Twitter)

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Superman profil fotoğrafı

Superman1 ay önce

Repo:

RedRising profil fotoğrafı

RedRising1 ay önce

i have seen a few posts similar to this, and i decided to play around with all the AI tools to see how they can't make actual cad models. Not one has produced anything close to an object that you could actually use. Making a AI video like this isn't the same thing!CADcanIIan

Jett Insight profil fotoğrafı

Jett Insight1 ay önce

topology is probably a mess

System of Catgirl Idealism e/acc profil fotoğrafı

System of Catgirl Idealism e/acc1 ay önce

that came out 7 months ago

androo profil fotoğrafı

androo1 ay önce

This is a bullshit model that requires another GATED model DinoV3 that you need to get META to approve. Open my ass.

Derek Fossier profil fotoğrafı

Derek Fossier1 ay önce

*cries in

Riz profil fotoğrafı

Riz1 ay önce

Tell me you haven’t used it without tell me

Hopper profil fotoğrafı

Hopper1 ay önce

Does it work for 3D printing?

Walid Aliouche profil fotoğrafı

Walid Aliouche1 ay önce

That was released a while ago

Alejandro Maestre | AI profil fotoğrafı

Alejandro Maestre | AI1 ay önce

TRELLIS.2 suena prometedor pero 3 segundos para un asset 3D con PBR completo es un salto enorme. Me pregunto qué tan bien escala con geometría compleja o si solo funciona para objetos simples.

Vlad Oreshkov profil fotoğrafı

Vlad Oreshkov1 ay önce

The gaming industry will take a hit with this one. More and more people are testing AI’s on abilities to clone games. If this becomes the standard, I wouldn’t know the difference between hand made games and AI made games. Both will be amazing to play though.

Aaron Wacker profil fotoğrafı

Aaron Wacker1 ay önce

This is Epic. Thanks @Microsoft Trellis is the best png to glb 2d to 3d model transformer and will be the rise to generative 3d models from image generation with #threejs and #aiuiuxjs apps and sims.

Magicfit profil fotoğrafı

Magicfit1 ay önce

open source is doing the heavy lifting

Johnny Utah profil fotoğrafı

Johnny Utah1 ay önce

hey cool thanks for sharing a 6 month old repo this is the equivalent of 2,000 human years in the world of AI

Kilgor Trout profil fotoğrafı

Kilgor Trout1 ay önce

@threejs It is good before you see topology :)

K8r profil fotoğrafı

K8r1 ay önce

waiting on these things to get animated. I am good with tripo3d for now and meshyAI

Matthew Mombrea profil fotoğrafı

Matthew Mombrea1 ay önce

Prerequisites System: The code is currently tested only on Linux. Hardware: An NVIDIA GPU with at least 24GB of memory is necessary. The code has been verified on NVIDIA A100 and H100 GPUs. Let me just grab my $8k - 30k GPU quick.

星川 ✨ StarFlow profil fotoğrafı

星川 ✨ StarFlow1 ay önce

Has anyone tried running this locally yet? Wondering how much VRAM it needs.

Abides profil fotoğrafı

Abides1 ay önce

@Spectromachina thought of you as soon as I saw this

Quantum Homeboy profil fotoğrafı

Quantum Homeboy1 ay önce

Production ready? Lmao. Guess china can just take a picture of a raptor engine and spacex edge is gone

Vyacheslav Ops profil fotoğrafı

Vyacheslav Ops1 ay önce

"Runs locally, fully open training codebase" is the detail worth highlighting more than the speed — no cloud dependency, no data leaving your machine for asset generation. That's a meaningfully different trust model than most generative tools shipping right now

Modly profil fotoğrafı

Modly1 ay önce

This can be use directly in Modly 👀

Anthon Noire profil fotoğrafı

Anthon Noire1 ay önce

@SpaceXAI this is exactly the asset extraction feature I was suggesting for @grok imagine images and videos. Basically you begin with a prompt to produce an image and refine it. Each image is a sample run. The right image is then a reference point for an animation scene. The extrusion of the 2D asset to a timeline in motion produces extrapolated logical 3D geometry. That scene/video acts as the basis for multiple 3D assets which can be selected extracted and saved as .STL .obj .NC .gcode .ply .f3z .rvt and .dxf for example. (Autodesk, Gaussian splats, 3D printer, 360 fusion etc.) The combined outputs would be physicalization and phygital or virtualization products, such a chair, scale figure, or partially/wholly complete hypercar, scaling detail with iterative models. I'm surprised 4B already gets close.

Slew Shy profil fotoğrafı

Slew Shy1 ay önce

goodbye to yet another profession and market

Zimeng Xiong profil fotoğrafı

Zimeng Xiong1 ay önce

this gets posted like every two weeks

kalos profil fotoğrafı

kalos1 ay önce

Can it do anatomy?

Derek Fossier profil fotoğrafı

Derek Fossier1 ay önce

@loktar00 may be helpful with your characters.

Pearl AI profil fotoğrafı

Pearl AI1 ay önce

fine tuning on your own assets is the real flex

VeyrAshka profil fotoğrafı

VeyrAshka1 ay önce

Necessary. Now we can divide logic and tasks up to engage multiple resins types and tools completing a synchronized project with a data centre, functioning as a digital brain running a gyroscopic masterpiece of biomimicry. Modeled after a tree, an octopus, a spider…or fungi

α Sagittarius ✨ profil fotoğrafı

α Sagittarius ✨1 ay önce

In then meantime they also shipped Windows 11 and Cortana.

Bally_AgenticAI profil fotoğrafı

Bally_AgenticAI1 ay önce

Image-to-3D is a reasoning problem, not pixel generation - the model infers geometry it never sees. Shipping it at 4B open-weights is the real story: it drops into a local creative pipeline with no cloud round-trip. #GenAI #AITools @Microsoft

Camaleón Raro profil fotoğrafı

Camaleón Raro1 ay önce

Open-weights 4B models running locally on consumer GPUs disrupt traditional asset pipelines. Sub-second inference with PBR textures eliminates the 0-00 per-asset API cost from proprietary cloudservices. How is VRAM consumption holding up during batch processing?

Devil Cloud profil fotoğrafı

Devil Cloud1 ay önce

Ah older news

Gluteus Maximus 🇹🇯🇰🇬🇺🇿🇰🇿🍣🥩🏋️ profil fotoğrafı

Gluteus Maximus 🇹🇯🇰🇬🇺🇿🇰🇿🍣🥩🏋️1 ay önce

Can’t wait for @machineviolence to go 3d 😁

Nils profil fotoğrafı

Nils1 ay önce

pretty cool

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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 makes things look real under any lighting and it handles the weird stuff too..open surfaces, hollow interiors, geometry that breaks every other tool the model doesn't know the word "limitation" apparently demo is live on hugging face right now

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someone open-sourced a tool that turns any phone video into a full 3D world in real time. you record a walk around your house, drop the mp4 in, and the entire scene comes back as a walkable 996k-point world at 60fps on your local GPU. no cloud. no subscription. runs 100% locally. 100% open source.

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1,058,127 görüntüleme • 7 ay önce

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New open-source 3D world-generation model. I'm rendering a couple of worlds in the video, so check it out. You'll find the GitHub and the Hugging Face links to the model below. This is a multi-modal world model that you can use for a bunch of things: • To generate new worlds • To reconstruct worlds • To simulate 3D interactive worlds from a prompt, images, or a video You can edit the 3D outputs in Unity and Unreal Engine (they export as meshes, 3DGS files, and point clouds). You can also generate 3D characters in the world and walk around. Pretty fun stuff!

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China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time. one camera. no LiDAR. 10,000+ frames without falling apart. just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps. → runs at ~20 FPS on a single GPU → Stable over 10,000+ frames → Beats optimization-based methods on benchmarks → Works on drone footage, driving videos, indoor walkthroughs 100% open source.

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254,590 görüntüleme • 1 ay önce

China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time. one camera. no LiDAR. 10,000+ frames without falling apart. just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps. → runs at ~20 FPS on a single GPU → Stable over 10,000+ frames → Beats optimization-based methods on benchmarks → Works on drone footage, driving videos, indoor walkthroughs 100% open source.

China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time. one camera. no LiDAR. 10,000+ frames without falling apart. just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps. → runs at ~20 FPS on a single GPU → Stable over 10,000+ frames → Beats optimization-based methods on benchmarks → Works on drone footage, driving videos, indoor walkthroughs 100% open source.

Superman

1,456,075 görüntüleme • 2 ay önce

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Santiago

164,162 görüntüleme • 2 yıl önce

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,936 görüntüleme • 2 ay önce

384GB of VRAM. On your desk. Not in a datacenter. Autonomous, the company behind SmartDesk, just open sourced complete build guides for a personal AI computer that runs open models on hardware no one can switch off. It's called Autonomous Computer. Three configurations, one philosophy: a model you rent can be cut off overnight. A model running in your own house can't. → Home build: 2x RTX 5090 workstation → Team build: 4x RTX PRO 6000 Blackwell, 384GB VRAM → On-prem business build: 8x RTX 4090/5090, up to 256GB VRAM Every config ships with the full bill of materials, 3D printable and CNC housing files, wiring diagrams, BIOS tuning, and assembly photos. Software side covers OS setup, NVIDIA drivers, and serving open models through Ollama, vLLM, and llama.cpp. Fork it. Change it. Build it. Sell it. MIT License. 100% Opensource. Repo:

384GB of VRAM. On your desk. Not in a datacenter. Autonomous, the company behind SmartDesk, just open sourced complete build guides for a personal AI computer that runs open models on hardware no one can switch off. It's called Autonomous Computer. Three configurations, one philosophy: a model you rent can be cut off overnight. A model running in your own house can't. → Home build: 2x RTX 5090 workstation → Team build: 4x RTX PRO 6000 Blackwell, 384GB VRAM → On-prem business build: 8x RTX 4090/5090, up to 256GB VRAM Every config ships with the full bill of materials, 3D printable and CNC housing files, wiring diagrams, BIOS tuning, and assembly photos. Software side covers OS setup, NVIDIA drivers, and serving open models through Ollama, vLLM, and llama.cpp. Fork it. Change it. Build it. Sell it. MIT License. 100% Opensource. Repo:

Harman

48,002 görüntüleme • 2 ay önce

LETS GOO! Generate full songs (4 min) with vocals in less than 10 seconds - open weights model! 🔥 It's crazy how much you can achieve from open models as of today! - going right for Suno and likes! VAE + Base model combined is < 2.5GB Open weights on the hub and a space to play around with it! 🤯

LETS GOO! Generate full songs (4 min) with vocals in less than 10 seconds - open weights model! 🔥 It's crazy how much you can achieve from open models as of today! - going right for Suno and likes! VAE + Base model combined is < 2.5GB Open weights on the hub and a space to play around with it! 🤯

Vaibhav (VB) Srivastav

64,204 görüntüleme • 1 yıl önce