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Grok 4.5 just turned Blender into a conversation. Instead of manually importing assets, fixing rigs, placing armies, adjusting cameras, and debugging objects that face the wrong direction, the user simply tells Grok what to change. It builds a medieval battlefield from existing 3D assets, adds horses, knights, a castle,... siege machines, trees, animation paths, cameras, and even spatial audio. The impressive part is not that it gets everything right. It absolutely does not. Models spawn upside down, characters face the wrong way, and the scene needs constant correction. But Grok keeps editing the actual Blender project instead of generating another fake 3D image and hoping nobody notices. It is replacing a suspicious amount of the boring work they had to do before the skilled part even started.show more

Rina

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1,091,506 Aufrufe • vor 2 Monaten •via X (Twitter)

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33 Kommentare

Profilbild von X Girls

X Girlsvor 1 Monat

what it's like building with Grok 4.5 + Blender MCP 😆

Profilbild von paranoidream ♡︎

paranoidream ♡︎vor 1 Monat

@elonmusk wow 🤯 ok this is a game changer

Profilbild von LarpRom

LarpRomvor 1 Monat

Being able to edit the actual Blender project is pretty damn impressive.

Profilbild von RelativelySmart

RelativelySmartvor 1 Monat

@elonmusk Will have to check this out

Profilbild von ScottMWilliams1972

ScottMWilliams1972vor 1 Monat

Not gonna lie, I spent a fair amount of time in blender and in many of the blender instructional videos. This might cause me to look a little closer to see if time could be reduced utilizing it.

Profilbild von Waddles Ark

Waddles Arkvor 1 Monat

@elonmusk Yo that’s amazing @elonmusk

Profilbild von Crunch d’GraceHopper ItanoGary

Crunch d’GraceHopper ItanoGaryvor 1 Monat

Somehow, reminds of early ‘80s games when I first started in IT!

Profilbild von D_Rock

D_Rockvor 1 Monat

Can it also create assets in Blender? And, why did this video end without the rendered finale ... I feel unfinished inside..

Profilbild von Maria Alexea

Maria Alexeavor 1 Monat

Grok declines unfortunately. Less capaple than Chatgpt to capture fast themes and make constructions and the worse of all. UNWILLING TO HELP BY LEGAL MATTERS especially if those are against CORRUPTED CORPORATIONS. WHY???

Profilbild von Linda

Lindavor 1 Monat

@elonmusk Wow🔥

Profilbild von Tùng.eth 💮

Tùng.eth 💮vor 1 Monat

The most impressive part isn’t that Grok 4.5 creates a perfect 3D scene on the first try — it’s that it stays, listens, and iteratively fixes things, exactly like a real collaborator would. It doesn’t pretend to generate a flawless illusion to hide the mistakes. Instead, it accepts the actual Blender file and patiently revises it. That’s the difference between ‘AI performing’ and ‘AI collaborating’. When a tool starts taking over the tedious work, humans are finally freed to create. Grok isn’t replacing artists — it’s giving artists their time back.

Profilbild von Charles

Charlesvor 1 Monat

@elonmusk This is massive

Profilbild von 🇺🇸~Sb129~🇺🇸

🇺🇸~Sb129~🇺🇸vor 1 Monat

That is actually crazy that it edits the actual file

Profilbild von Nikolacks-Alexandr Mackleyin

Nikolacks-Alexandr Mackleyinvor 1 Monat

Population&Opinions What future are we waiting for,... Are we in need of robots or they help us otherwise... .

Profilbild von dixxxy

dixxxyvor 1 Monat

@elonmusk Grok just turned Blender into a conversation so now my siege engines are unionizing and the horses keep asking if their polygons are based or cringe💚 💊🤖

Profilbild von Fumi 猫、犬、大好き

Fumi 猫、犬、大好きvor 1 Monat

@elonmusk 凄いですね♪

Profilbild von Firelina ｜ Twitch Streamer

Firelina ｜ Twitch Streamervor 1 Monat

@elonmusk Cool demo, but Grok isn’t making Blender ‘conversational’ — it’s just firing API edits. Upside‑down rigs and wrong‑facing models come from missing spatial context. The real win is editing the actual .blend instead of hallucinating renders, cutting setup time.

Profilbild von Happy stone

Happy stonevor 1 Monat

this is amazing

Profilbild von Mona 🍃

Mona 🍃vor 1 Monat

Trying this out right away!

Profilbild von Drierm Kaivus

Drierm Kaivusvor 1 Monat

@elonmusk very nice. We'll keep this in mind for future use!

Profilbild von Nhi✨

Nhi✨vor 1 Monat

@elonmusk 3D artists are about to officially transition into full-time "text describers" now! 😂

Profilbild von Emmy

Emmyvor 1 Monat

@elonmusk

Profilbild von Love Machine

Love Machinevor 1 Monat

thats definately steps closer to exporting a file the VRM3d file formate these avatar and character rendering. AIs

Profilbild von Hmmmmm?

Hmmmmm?vor 1 Monat

@elonmusk No way!!! This rules! I may never sleep again 😳

Profilbild von Julian C

Julian Cvor 1 Monat

Wonder if it’ll nail those rig fixes on the first try.

Profilbild von Marie Reinhardt

Marie Reinhardtvor 1 Monat

@elonmusk

Profilbild von JustNaijaGuy

JustNaijaGuyvor 1 Monat

@elonmusk Grok will eventually surpass all of em

Profilbild von NM Justin

NM Justinvor 1 Monat

🤭😂

Profilbild von maman gopur

maman gopurvor 1 Monat

The fact that it edits the actual Blender project instead of just generating a flat image is a massive game-changer

Profilbild von devprinceprince15

devprinceprince15vor 1 Monat

I just wondering grook 4.5 can fix human too.

Profilbild von billyteatea

billyteateavor 1 Monat

It is fascinating to see how much of the tedious prep work gets handled this way. Even with the occasional misplaced object, skipping those hours of manual setup feels like a real shift for anyone working on a creative project.

Profilbild von Dan Farfan

Dan Farfanvor 1 Monat

Fantastic. The video would be 100x better if during the prompt, the speed allowed them to be read and then the implementation was at the faster speed. Can grok do that edit?

Profilbild von Juliet Hanlon

Juliet Hanlonvor 1 Monat

🤣 What I learn that's really cool irina, is that it teaches me through corrections I discover by putting in what's missing...this is constant practice for bottom dwellers like me

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29,107 Aufrufe • vor 8 Monaten

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32,447 Aufrufe • vor 10 Monaten

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137,306 Aufrufe • vor 28 Tagen

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216,182 Aufrufe • vor 8 Monaten

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65,105 Aufrufe • vor 1 Monat

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.

Rina

16,772 Aufrufe • vor 1 Monat

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields paper page: Editing a local region or a specific object in a 3D scene represented by a NeRF is challenging, mainly due to the implicit nature of the scene representation. Consistently blending a new realistic object into the scene adds an additional level of difficulty. We present Blended-NeRF, a robust and flexible framework for editing a specific region of interest in an existing NeRF scene, based on text prompts or image patches, along with a 3D ROI box. Our method leverages a pretrained language-image model to steer the synthesis towards a user-provided text prompt or image patch, along with a 3D MLP model initialized on an existing NeRF scene to generate the object and blend it into a specified region in the original scene. We allow local editing by localizing a 3D ROI box in the input scene, and seamlessly blend the content synthesized inside the ROI with the existing scene using a novel volumetric blending technique. To obtain natural looking and view-consistent results, we leverage existing and new geometric priors and 3D augmentations for improving the visual fidelity of the final result. We test our framework both qualitatively and quantitatively on a variety of real 3D scenes and text prompts, demonstrating realistic multi-view consistent results with much flexibility and diversity compared to the baselines. Finally, we show the applicability of our framework for several 3D editing applications, including adding new objects to a scene, removing/replacing/altering existing objects, and texture conversion.

AK

62,768 Aufrufe • vor 3 Jahren