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GPT-6 made GTA 6 beach house using MCP tools! Running Astra only through Blender MCP didn’t work for me, since it was mainly using primitive shapes to build the assets. Now, with Atlas workflows and Tripo, that changed! Initially, I thought Tripo P2 would be the way to go:... low-poly results straight into Blender. I tried it, but I didn’t get the results I wanted. Don’t get me wrong, P2 is great and a big improvement over P1, I just wanted more detail for this project. So I ended up using Tripo 3.1. First, I needed a good starting point. I gave Astra some concept art and YouTube links, and it generated great reference images to work with. With Atlas workflows, I used those references to generate images for all the individual parts. Using Atlas MCP, I exported them and automatically renamed everything based on the prompts. The next step was feeding the images into Atlas Batch Composer so it could run all the 3D generations in one go. I asked Astra to optimize the generated assets to either 5K or 1K triangles, depending on their form and size. After a few tests, Astra made the process faster and faster. I gave it all 70 high-poly assets and let it run. Astra then took care of the whole build. It imported the optimized assets into Blender and used the reference images to start recreating the house. I only had to give it directional feedback twice and manually rescale a few things. There were still a lot of parts, though. Each beam was a separate object, and I knew that wasn’t ideal if I wanted to export the house to UEFN or Unreal Engine. So I asked Astra to export only the unique assets. Then, using UEFN MCP, it rebuilt everything 1:1 while reusing modular parts like beams and windows. I really enjoyed watching it place all the pieces in UEFN, almost like watching a timelapse of the house being built!show more

Jerome | InsaneUnreal

4,087 subscribers

67,666 次观看 • 3 天前 •via X (Twitter)

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40 条评论

Steve 的头像

Steve3 天前

@Atlas3DAI Thanks to dumb shit like this, we get to pay these prices.

ScarfaceMLO 的头像

ScarfaceMLO2 天前

@Atlas3DAI I have made the same but with my hand ahah

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI Yo looks clean! Sick 🔥

Daniel Johnsen 的头像

Daniel Johnsen3 天前

@Atlas3DAI Yeah, primitives only get you so far. Once the mesh pipeline is real, the same prompt suddenly looks like a level instead of a graybox.

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal3 天前

@Atlas3DAI oh yeah it the source material and direction!

Daniel Johnsen 的头像

Daniel Johnsen2 天前

@Atlas3DAI Exactly. The model is just the brush. If the source and direction are fuzzy, you just get pretty noise faster.

安叫兽|Bird🕊️ 🔶 BNB 的头像

安叫兽|Bird🕊️ 🔶 BNB2 天前

@Atlas3DAI 从基础形状到可用资产，这个跨工具流程顺多了

maz 的头像

maz2 天前

@Atlas3DAI im crying using the farcry interior, you have no talent

Max Liebscher 的头像

Max Liebscher2 天前

@Atlas3DAI That's exactly the ideal workflow I was looking for!

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI 🔥

mbuild 的头像

mbuild2 天前

@Atlas3DAI I rather use my hands

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal1 天前

@Atlas3DAI That rolling is hilarious! Looks great

Gabriele Leone 的头像

Gabriele Leone1 天前

@Atlas3DAI Very cool. We did something similar with both Tripo and Meshy!

RenoRivsan 的头像

RenoRivsan2 天前

@Atlas3DAI For only 13 trillion lil triangles.

Michael 🇯🇲 的头像

Michael 🇯🇲2 天前

@Atlas3DAI On extra high reasoning Ask astra how you could've done it with less utilization, this shit is phenomenal btw, I'm adding this to my framework notes.

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI Gonna check and ask that thanks!

Paul Scarlata 的头像

Paul Scarlata2 天前

@Atlas3DAI I need to learn this pipeline, thanks for sharing! Have you made any other more in depth tutorials or any that you can recommend for someone new to this type of workflow?

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI Not yet. Im collecting more pieces for several workflows that i want to turn into indepth videos. Things change so fast haha

Brjan | AI Builder 的头像

Brjan | AI Builder2 天前

@Atlas3DAI what specific features of Atlas3D AI helped improve your workflow with Tripo?

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI One of the features i really enjoy using is the batch workflows. First creating a task through nodes and run that for 40+ assets

Fl0miX UEFN 的头像

Fl0miX UEFN3 天前

@Atlas3DAI Cool but consumes too much

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal3 天前

@Atlas3DAI What do you think consumes too much when you want a detailed exterior + interior? What could be more optimized?

Pammy Lee 的头像

Pammy Lee2 天前

@Atlas3DAI Ew

Euler 的头像

Euler2 天前

@Atlas3DAI I would deeply appreciate if we could chat in private - I have some questions regarding this⚡️ help❤️😂

catman 的头像

catman3 天前

@Atlas3DAI The real unlock isn’t one smarter model—it’s a pipeline with checkpoints: references, generation, optimization, and modular assembly. Agents become much more useful when each stage produces structured input for the next.

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI yes! with my current experiments in Codex i really get reusable tools when iterating. Like everybody gets its own personal executor based on their preferred methods.

Samit 的头像

Samit2 天前

@Atlas3DAI How long did this take? And how many tokens?

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI It said it worked 5 hours on all tasks combined. it worked well within weekly limit used about 25%

Samit 的头像

Samit2 天前

@Atlas3DAI oh I see, damn 5 hours is crazy. u should try out you can do this a lot faster and directly on the browser.

Chetan Ankola 的头像

Chetan Ankola2 天前

@Atlas3DAI is tripo that good - i just made this without

Ktown | Btc Maxi 的头像

Ktown | Btc Maxi2 天前

@Atlas3DAI 70 assets is bold

John Smith 的头像

John Smith2 天前

@Atlas3DAI Tuff🤝💜

Steven Casteel 的头像

Steven Casteel2 天前

@Atlas3DAI Looks excellent. Thanks for sharing.

clankr 的头像

clankr2 天前

@Atlas3DAI Real2sim capabilities and spatial understanding of Astra is insane.

Jerome | InsaneUnreal 的头像

Jerome | InsaneUnreal2 天前

@Atlas3DAI Yeah totally surprised me. In general crazy tool for gamedev

AI Mastery Guide 的头像

AI Mastery Guide2 天前

@Atlas3DAI this actually looks so real

Sebastian Buzdugan 的头像

Sebastian Buzdugan2 天前

@Atlas3DAI saw tripo fix shape quality, but clean topology still decides if assets ship

It's Just Purples 的头像

It's Just Purples2 天前

@Atlas3DAI I don't think Rockstar will be very happy with that at all

YEEHAW Games 的头像

YEEHAW Games2 天前

@Atlas3DAI Vnice

Pammy Lee 的头像

Pammy Lee2 天前

@Atlas3DAI Why the fuck did u use the farcry interior im crying

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dude Astra with a 3D model generator is fucking insane i gave it access to the 3D AI Studio MCP and told it to make Rocket League it generated the assets itself and built this:

dude Astra with a 3D model generator is fucking insane i gave it access to the 3D AI Studio MCP and told it to make Rocket League it generated the assets itself and built this:

Jan

236,406 次观看 • 11 天前

I got this custom scorpion rigged, animated and running in my game in one full day with AI. GPT-6 built the entire rig. My part was preparing the model and motion references, then giving feedback. After trying a few approaches, I found a workflow that worked: 1. Give it a model that makes sense. I generated the model with Tripo P2.0, then cleaned it up myself. Low-poly, optimized, split into logical parts. I think that preparation mattered a lot. GPT-6 works on the mesh through code. A manageable vertex count and sensible parts give it a clearer starting point for bone placement and skinning. 2. Show it the movement you want. I took a reference image of the character and used Seedance to generate side-view animation videos. I decided which animations the game needed and selected the takes with the movements I liked. Then I gave GPT-6 the model, the videos and that animation list. There was no existing rig to start from. 3. Compare the animation frame by frame. This was the idea I wanted to test: ask GPT-6 to compare its Blender animation against the reference video frame by frame, from the same view. That gave it concrete poses and timing to work toward. I could point to where the feet should be planted or when the tail should strike. 4. Expect to give feedback. A generated run can look like hopping. An attack can start with a jump you never wanted. Choosing the references matters, and a side view still leaves depth and hidden legs to figure out. It took several iterations. I explained what looked wrong and how I wanted it to move, and GPT-6 kept refining the animation. Once the walk worked, I also had it create left and right strafe animations procedurally from that walk. Those didn't need their own reference videos. By the end of the day, the creature was in Unity. I've recorded the full workflow, including the Blender setup and feedback process:

I got this custom scorpion rigged, animated and running in my game in one full day with AI. GPT-6 built the entire rig. My part was preparing the model and motion references, then giving feedback. After trying a few approaches, I found a workflow that worked: 1. Give it a model that makes sense. I generated the model with Tripo P2.0, then cleaned it up myself. Low-poly, optimized, split into logical parts. I think that preparation mattered a lot. GPT-6 works on the mesh through code. A manageable vertex count and sensible parts give it a clearer starting point for bone placement and skinning. 2. Show it the movement you want. I took a reference image of the character and used Seedance to generate side-view animation videos. I decided which animations the game needed and selected the takes with the movements I liked. Then I gave GPT-6 the model, the videos and that animation list. There was no existing rig to start from. 3. Compare the animation frame by frame. This was the idea I wanted to test: ask GPT-6 to compare its Blender animation against the reference video frame by frame, from the same view. That gave it concrete poses and timing to work toward. I could point to where the feet should be planted or when the tail should strike. 4. Expect to give feedback. A generated run can look like hopping. An attack can start with a jump you never wanted. Choosing the references matters, and a side view still leaves depth and hidden legs to figure out. It took several iterations. I explained what looked wrong and how I wanted it to move, and GPT-6 kept refining the animation. Once the walk worked, I also had it create left and right strafe animations procedurally from that walk. Those didn't need their own reference videos. By the end of the day, the creature was in Unity. I've recorded the full workflow, including the Blender setup and feedback process:

Stefan 3D AI

12,268 次观看 • 5 天前

I asked Astra to create a Catan game in three.js and it came out incredibly well. I played it, and the animations make it so much fun. The instructions and info cards make the game easy to learn. It even has AI players and trading. Astra used another game I had started building as a reference. The more games I build, the more skills and assets I have for the next one. It can remix the UI, 3D models, pages, and sounds instead of rebuilding everything. Now I want to see how many other board games I can make from this foundation.

I asked Astra to create a Catan game in three.js and it came out incredibly well. I played it, and the animations make it so much fun. The instructions and info cards make the game easy to learn. It even has AI players and trading. Astra used another game I had started building as a reference. The more games I build, the more skills and assets I have for the next one. It can remix the UI, 3D models, pages, and sounds instead of rebuilding everything. Now I want to see how many other board games I can make from this foundation.

Meng To

574,407 次观看 • 11 天前

This is sick! I built the entire city of Gurgaon in 3D using GPT-6 Astra I saw everyone building all sorts of cool demos with Astra, so I decided to give it a shot and needless to say, I was not dissapointed

This is sick! I built the entire city of Gurgaon in 3D using GPT-6 Astra I saw everyone building all sorts of cool demos with Astra, so I decided to give it a shot and needless to say, I was not dissapointed

Yajat Gulati

49,991 次观看 • 13 天前

I ASKED GPT-6 ASTRA TO BUILD A PLAYABLE 3D GAME WITHOUT OPENING BLENDER ONCE It wrote the code and it got the model. It just didn't make the model itself. It called the Hyper3D Rodin MCP for that. Full run below:

I ASKED GPT-6 ASTRA TO BUILD A PLAYABLE 3D GAME WITHOUT OPENING BLENDER ONCE It wrote the code and it got the model. It just didn't make the model itself. It called the Hyper3D Rodin MCP for that. Full run below:

me

102,659 次观看 • 5 天前

New clean 3D AI workflow Control Rig physics in UEFN! Been exploring some more hybrid AI workflows lately, and for 3D assets splitting the model into parts is kinda essential. This video shows my first test using AssetHub, one of the cleanest ways i've used to keep the whole generation process organized. It auto-detected the pose in my main image and broke it down into parts, then generated images for each. From there I can just iterate on each piece separately and generate the 3D models in one workflow. AssetHub is still in closed beta atm, so let me know if you want to try it out. Main reference image came from Grok Imagine. All the part images and high poly meshes were done in AssetHub, selected Tripo 3.1 as the main model. After that I ran it through Hunyuan 3D for retopo + unwrap. Final assembly in Blender. Baked normals from high to low poly. End result: under 60K tris, 3 materials, 2K textures. Also Control Rig physics in Unreal Engine are insane. It finally validates in UEFN too, so of course I had to test it out.

New clean 3D AI workflow Control Rig physics in UEFN! Been exploring some more hybrid AI workflows lately, and for 3D assets splitting the model into parts is kinda essential. This video shows my first test using AssetHub, one of the cleanest ways i've used to keep the whole generation process organized. It auto-detected the pose in my main image and broke it down into parts, then generated images for each. From there I can just iterate on each piece separately and generate the 3D models in one workflow. AssetHub is still in closed beta atm, so let me know if you want to try it out. Main reference image came from Grok Imagine. All the part images and high poly meshes were done in AssetHub, selected Tripo 3.1 as the main model. After that I ran it through Hunyuan 3D for retopo + unwrap. Final assembly in Blender. Baked normals from high to low poly. End result: under 60K tris, 3 materials, 2K textures. Also Control Rig physics in Unreal Engine are insane. It finally validates in UEFN too, so of course I had to test it out.

Jerome | InsaneUnreal

83,297 次观看 • 5 个月前

Probably I vibe coded a lil startup here? 😭 It has been such a loooong wish of mine to build some kind of 3D experience where I could customize a T-shirt in literally any way possible and it’s finally here. Built with Three.js using GPT 6 Astra, this is a full 3D T-shirt customization studio where you can visualize and customize a realistic shirt directly in the browser. That T-shirt itself was modeled by Astra using Tripo right inside Codex through Tripo Plugin. And you can pretty much do anything with it. You can paint directly on any side of the shirt using different brushes and colors, or even spray paint it in real time just like you would spray on a wall. There are also stickers generated using GPT Image 2.5 that you can place anywhere on the T-shirt, resize, reposition, recolor, layer, and customize however you want. On top of that, there’s support for things like fabric customization, sizing, layers, colors, and even wind simulation to push the realism a little further. Once you’re done, you can export the entire design as a 3D view or export individual images of the T-shirt so you could technically take the design, print it, and maybe even sell it. One of my favorite parts is how the spray painting effect works directly on the 3D T-shirt in real time. I also loved seeing how Astra managed to keep the whole experience performant across devices using a custom BVH implementation along with several CPU side optimizations. And the process of building it was super simple. I generated the initial studio design using GPT Image 2.5, gave that image to Astra with the Tripo Plugin enabled, and it basically handled everything from there. I didn’t have to separately generate a 3D reference, upload it to Tripo, download the asset, give it back to Astra, or manually coordinate any of that. Astra handled the entire flow on its own without needing any additional input from me. Really happy with both the process and how the final result turned out. Live:

Probably I vibe coded a lil startup here? 😭 It has been such a loooong wish of mine to build some kind of 3D experience where I could customize a T-shirt in literally any way possible and it’s finally here. Built with Three.js using GPT 6 Astra, this is a full 3D T-shirt customization studio where you can visualize and customize a realistic shirt directly in the browser. That T-shirt itself was modeled by Astra using Tripo right inside Codex through Tripo Plugin. And you can pretty much do anything with it. You can paint directly on any side of the shirt using different brushes and colors, or even spray paint it in real time just like you would spray on a wall. There are also stickers generated using GPT Image 2.5 that you can place anywhere on the T-shirt, resize, reposition, recolor, layer, and customize however you want. On top of that, there’s support for things like fabric customization, sizing, layers, colors, and even wind simulation to push the realism a little further. Once you’re done, you can export the entire design as a 3D view or export individual images of the T-shirt so you could technically take the design, print it, and maybe even sell it. One of my favorite parts is how the spray painting effect works directly on the 3D T-shirt in real time. I also loved seeing how Astra managed to keep the whole experience performant across devices using a custom BVH implementation along with several CPU side optimizations. And the process of building it was super simple. I generated the initial studio design using GPT Image 2.5, gave that image to Astra with the Tripo Plugin enabled, and it basically handled everything from there. I didn’t have to separately generate a 3D reference, upload it to Tripo, download the asset, give it back to Astra, or manually coordinate any of that. Astra handled the entire flow on its own without needing any additional input from me. Really happy with both the process and how the final result turned out. Live:

The Bugged Dev

50,862 次观看 • 7 天前

I continue to be impressed with Astra. I made bobo (the podcast host) with clay then took pictures of him and uploaded it to astra. It turned 3 images into a 3d model, which it then rigged and animated. Super cool tech!

I continue to be impressed with Astra. I made bobo (the podcast host) with clay then took pictures of him and uploaded it to astra. It turned 3 images into a 3d model, which it then rigged and animated. Super cool tech!

Duncan Trussell

35,004 次观看 • 12 天前

Day 10. Building the game I've dreamed of for 15 years with AI. I still can't get over the feeling that I can finally animate all the creatures I've been imagining for this game. Animation was the part I was most worried about when I started. I thought I'd need an animator, especially for creatures like centaurs, scorpions and spiders. So today I went off-plan and made a Scorpid. It won't even be in the first version of the game. I just wanted to see whether I could get its animations working. I started with a good model made in Tripo P2.0, already optimized and split into logical parts. I think that preparation matters a lot. GPT-6 works with the mesh through code and calculations. A sensible number of vertices and well-organized parts make it easier to work out bone placement and skin weights. Then I made video references for the animations with SD 2.5 and repeated the same workflow. About an hour and a half with GPT-6 Astra on xhigh: five animations ready for the game, including several rounds of feedback. Another hour later, I had it running in Unity. I used to run a 3D studio. Work like this used to take weeks. Now I'm watching this thing move around in my game, and I still can't quite believe my eyes.

Day 10. Building the game I've dreamed of for 15 years with AI. I still can't get over the feeling that I can finally animate all the creatures I've been imagining for this game. Animation was the part I was most worried about when I started. I thought I'd need an animator, especially for creatures like centaurs, scorpions and spiders. So today I went off-plan and made a Scorpid. It won't even be in the first version of the game. I just wanted to see whether I could get its animations working. I started with a good model made in Tripo P2.0, already optimized and split into logical parts. I think that preparation matters a lot. GPT-6 works with the mesh through code and calculations. A sensible number of vertices and well-organized parts make it easier to work out bone placement and skin weights. Then I made video references for the animations with SD 2.5 and repeated the same workflow. About an hour and a half with GPT-6 Astra on xhigh: five animations ready for the game, including several rounds of feedback. Another hour later, I had it running in Unity. I used to run a 3D studio. Work like this used to take weeks. Now I'm watching this thing move around in my game, and I still can't quite believe my eyes.

Stefan 3D AI

308,714 次观看 • 8 天前

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

Tom Krcha

1,438,157 次观看 • 15 天前

I might’ve found a way to make yesterday’s Blender to Real video ~5,000x faster (and better imo) lol. I put the scene together with GPT-6 Astra and PATINA in about 30 minutes. But it had around 7 million polygons, so rendering took a while. I split it into chunks across 8 GPUs and rendered it in about 30min. My estimate for an M4 Pro was around 40 hours. Obviously, I could’ve optimized the settings, but that’s for the version I posted yesterday. Since then, I’ve been trying different prompts to get H3 Max to follow the Blender animation while making the buildings and materials actually look real. I think I finally got it. The 30s video took about 30s to generate with H3 Max. Compared to that estimated 41h render, that’s roughly 5000x faster :) The part I’m most excited about is how much control this gives me. GPT-6 Astra can build a detailed 3D prototype in minutes, and I can use Blender to set up the camera and movement however I want, then have H3 Max follow it.

I might’ve found a way to make yesterday’s Blender to Real video ~5,000x faster (and better imo) lol. I put the scene together with GPT-6 Astra and PATINA in about 30 minutes. But it had around 7 million polygons, so rendering took a while. I split it into chunks across 8 GPUs and rendered it in about 30min. My estimate for an M4 Pro was around 40 hours. Obviously, I could’ve optimized the settings, but that’s for the version I posted yesterday. Since then, I’ve been trying different prompts to get H3 Max to follow the Blender animation while making the buildings and materials actually look real. I think I finally got it. The 30s video took about 30s to generate with H3 Max. Compared to that estimated 41h render, that’s roughly 5000x faster :) The part I’m most excited about is how much control this gives me. GPT-6 Astra can build a detailed 3D prototype in minutes, and I can use Blender to set up the camera and movement however I want, then have H3 Max follow it.

ilker

57,631 次观看 • 12 天前

Goddamn, GPT-6 Astra is something really Astraordinary 😱 I gave it a 3D model and asked it to auto rig the character and add animations like walking, running and a few Kung Fu moves... and IT ACTUALLY DID IT!! No big prompts or anything. Just simple trash talk mentioning what to do. Okay, wait wait wait. Welcome to the dark reality. It took me 3 sessions to get this result and somewhere it is still very much broken 😂 But this is genuinely a great step forward for the 3D modeling field. I had tried rigging the same model using Kimi K3 and the results were bad. Almost awful. So far, Astra does feel much more promising than the other models I have tested so far. More tests coming

Goddamn, GPT-6 Astra is something really Astraordinary 😱 I gave it a 3D model and asked it to auto rig the character and add animations like walking, running and a few Kung Fu moves... and IT ACTUALLY DID IT!! No big prompts or anything. Just simple trash talk mentioning what to do. Okay, wait wait wait. Welcome to the dark reality. It took me 3 sessions to get this result and somewhere it is still very much broken 😂 But this is genuinely a great step forward for the 3D modeling field. I had tried rigging the same model using Kimi K3 and the results were bad. Almost awful. So far, Astra does feel much more promising than the other models I have tested so far. More tests coming

The Bugged Dev

48,598 次观看 • 14 天前

Everyone keeps asking me how I generated the sprites, my assets, etc., for Evergrow. Astra made a custom drawing engine, and everything is drawn procedurally in code! I also built a lot of tools to browse and refine all the art in the game!

Everyone keeps asking me how I generated the sprites, my assets, etc., for Evergrow. Astra made a custom drawing engine, and everything is drawn procedurally in code! I also built a lot of tools to browse and refine all the art in the game!

Thomas Ricouard

41,505 次观看 • 10 天前

I started using Blender through MCP about two weeks ago, and I quickly realized that you can build almost anything with AI. This model was created using Blender, Hunyuan3D, Gemini, and ChatGPT. Here’s how I did it: I opened Gemini, uploaded an image of the Gundam model, and asked it to generate a clean front-view image. I uploaded that front view to ChatGPT and asked it to generate two additional angles: a back view and a 45-degree front-left view. I went to: I signed up with my email and translated the page into English. Then I opened Image to 3D and selected the multi-image option. You’ll see a diagram of a whale from several angles. Upload each reference image in its corresponding position, such as front, 45-degree front-left, and back. I selected the 1.5M-face option. This produces a very high-poly model, but don’t worry, we’ll fix that next. Once the generation is complete, download the model as a GLB file. From the Hunyuan homepage, open 3D Studio using one of the dropdown menus. Select the topology or retopology tool and upload your GLB. I chose the High setting to preserve as much detail as possible. After a few seconds, the model was retopologized. It kept most of its visual detail while using far fewer polygons. The original head and rifle didn’t look very good, so I generated them separately. I returned to ChatGPT and created dedicated reference images for the Gundam’s head and rifle. I generated each part individually in Hunyuan at the 1.5M setting, then ran both through the same retopology process. Next came the textures. Open the texture section, select the multi-image option, and upload the same reference images according to the whale orientation indicators. However, instead of using the original clean textures, I asked ChatGPT to recreate them with wear, rust stains, scratches, and other surface damage. This gave the Gundam a much older and more authentic appearance. Once every part was textured, I imported everything into Blender. You can ask Codex through MCP to remove the original head and rifle, or you can do it manually. Select the main model and press Tab to enter Edit Mode. Press 3 to enable face selection, then press C to activate Circle Select. Paint over the faces belonging to the original helmet or rifle. You can press X to delete those faces or P to separate them into another object. Then position the newly generated, more detailed head and rifle in their place. I demonstrate this process in one of my older videos. And that’s it. You now have a very cool 3D Gundam model! Afterward, I created the cockpit, separated the model into movable sections, and rigged everything for use in my Three.js game. That process deserves its own tutorial, though. If anyone wants to see it, let me know. Or just ask your AI, I guess. They seem to know everything these days. xD

I started using Blender through MCP about two weeks ago, and I quickly realized that you can build almost anything with AI. This model was created using Blender, Hunyuan3D, Gemini, and ChatGPT. Here’s how I did it: I opened Gemini, uploaded an image of the Gundam model, and asked it to generate a clean front-view image. I uploaded that front view to ChatGPT and asked it to generate two additional angles: a back view and a 45-degree front-left view. I went to: I signed up with my email and translated the page into English. Then I opened Image to 3D and selected the multi-image option. You’ll see a diagram of a whale from several angles. Upload each reference image in its corresponding position, such as front, 45-degree front-left, and back. I selected the 1.5M-face option. This produces a very high-poly model, but don’t worry, we’ll fix that next. Once the generation is complete, download the model as a GLB file. From the Hunyuan homepage, open 3D Studio using one of the dropdown menus. Select the topology or retopology tool and upload your GLB. I chose the High setting to preserve as much detail as possible. After a few seconds, the model was retopologized. It kept most of its visual detail while using far fewer polygons. The original head and rifle didn’t look very good, so I generated them separately. I returned to ChatGPT and created dedicated reference images for the Gundam’s head and rifle. I generated each part individually in Hunyuan at the 1.5M setting, then ran both through the same retopology process. Next came the textures. Open the texture section, select the multi-image option, and upload the same reference images according to the whale orientation indicators. However, instead of using the original clean textures, I asked ChatGPT to recreate them with wear, rust stains, scratches, and other surface damage. This gave the Gundam a much older and more authentic appearance. Once every part was textured, I imported everything into Blender. You can ask Codex through MCP to remove the original head and rifle, or you can do it manually. Select the main model and press Tab to enter Edit Mode. Press 3 to enable face selection, then press C to activate Circle Select. Paint over the faces belonging to the original helmet or rifle. You can press X to delete those faces or P to separate them into another object. Then position the newly generated, more detailed head and rifle in their place. I demonstrate this process in one of my older videos. And that’s it. You now have a very cool 3D Gundam model! Afterward, I created the cockpit, separated the model into movable sections, and rigged everything for use in my Three.js game. That process deserves its own tutorial, though. If anyone wants to see it, let me know. Or just ask your AI, I guess. They seem to know everything these days. xD

Spectro

80,433 次观看 • 1 个月前

🚨 STOP learning Blender !! Learning Blender in 2026..... Is officially obsolete. MiniMax Design can now automate Blender to create ANY 3d SCENE !! I just gave it a PROMPT.... And MiniMax Design used GPT-6 Astra to handle everything like: 1️⃣ Opening Blender 2️⃣ Generating the 3D elements 3️⃣ Fixing lighting 4️⃣ Camera Tracking Data etc.... It built the entire scene inside Blender. Finally, I used MiniMax H3 Max to add colors to the 3d SCENE !! Then I just rendered the 3d scene !! Best part? Using GPT-6 Astra through MiniMax Design is way more affordable than running it directly.

🚨 STOP learning Blender !! Learning Blender in 2026..... Is officially obsolete. MiniMax Design can now automate Blender to create ANY 3d SCENE !! I just gave it a PROMPT.... And MiniMax Design used GPT-6 Astra to handle everything like: 1️⃣ Opening Blender 2️⃣ Generating the 3D elements 3️⃣ Fixing lighting 4️⃣ Camera Tracking Data etc.... It built the entire scene inside Blender. Finally, I used MiniMax H3 Max to add colors to the 3d SCENE !! Then I just rendered the 3d scene !! Best part? Using GPT-6 Astra through MiniMax Design is way more affordable than running it directly.

Darshal Jaitwar

85,634 次观看 • 4 天前

I wanted to see how far I could take an AI-generated poster after the generation step. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Started with Dreamina and generated the full poster. Then I handed it to GPT-6 Astra and had Astra use Photoshop to separate the visual elements into individual layers. So the final result isn't just a PNG anymore - I can independently tweak the background, subject, text and other elements. Dreamina's pricing makes it much easier to generate a few different versions first without overthinking every attempt. This could save designers a ridiculous amount of cleanup time. #Dreamina #DreaminaPartner

I wanted to see how far I could take an AI-generated poster after the generation step. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Started with Dreamina and generated the full poster. Then I handed it to GPT-6 Astra and had Astra use Photoshop to separate the visual elements into individual layers. So the final result isn't just a PNG anymore - I can independently tweak the background, subject, text and other elements. Dreamina's pricing makes it much easier to generate a few different versions first without overthinking every attempt. This could save designers a ridiculous amount of cleanup time. #Dreamina #DreaminaPartner

Isabella

40,823 次观看 • 8 天前

I used to think 3D was way too much work for a quick creative idea Then I tried this workflow in MiniMax Design GPT-6 Astra can work with Blender to build the 3D scene from a natural-language prompt, which honestly changes how I think about 3D creation I don’t need to start by figuring out every Blender operation myself I can just describe the scene I have in mind and let Astra handle the technical side Then I can take that 3D result straight into H3 Max Turbo and turn it into a video And the speed here is no joke 15s video → 20s generation Starting at $0.018/s That makes experimenting with different ideas feel so much less expensive in terms of time But the more I use MiniMax Design, the more I realize 3D is only one part of it GPT Image 2.5 opens up another route — generate the visuals and storyboards first, then use H3 Max Turbo to bring those shots together into a video So now I’m basically playing with two different creative paths: Astra + Blender → 3D → H3 Max Turbo GPT Image 2.5 → Storyboard → H3 Max Turbo And having all of these connected inside MiniMax Design makes the whole process feel much more flexible Honestly, I started this just wanting to see what Astra could do with 3D Now I’m way more curious about what happens when I start mixing all these workflows together

I used to think 3D was way too much work for a quick creative idea Then I tried this workflow in MiniMax Design GPT-6 Astra can work with Blender to build the 3D scene from a natural-language prompt, which honestly changes how I think about 3D creation I don’t need to start by figuring out every Blender operation myself I can just describe the scene I have in mind and let Astra handle the technical side Then I can take that 3D result straight into H3 Max Turbo and turn it into a video And the speed here is no joke 15s video → 20s generation Starting at $0.018/s That makes experimenting with different ideas feel so much less expensive in terms of time But the more I use MiniMax Design, the more I realize 3D is only one part of it GPT Image 2.5 opens up another route — generate the visuals and storyboards first, then use H3 Max Turbo to bring those shots together into a video So now I’m basically playing with two different creative paths: Astra + Blender → 3D → H3 Max Turbo GPT Image 2.5 → Storyboard → H3 Max Turbo And having all of these connected inside MiniMax Design makes the whole process feel much more flexible Honestly, I started this just wanting to see what Astra could do with 3D Now I’m way more curious about what happens when I start mixing all these workflows together

haytam

83,103 次观看 • 8 天前

This AI created an interactive 3D textbook !! 💀 I didn't manually create any of these 3d models I built it using: 👉 GPT-6 Astra 👉 Hyper3D Rodin's MCP Hyper3D worked on the 3D Models And GPT-6 Astra made the website with the 3D Models integrated to the UI controls. It even added floating labels for the HEART !! This is what happens when an AI can actually CREATE 3D assets 👇

This AI created an interactive 3D textbook !! 💀 I didn't manually create any of these 3d models I built it using: 👉 GPT-6 Astra 👉 Hyper3D Rodin's MCP Hyper3D worked on the 3D Models And GPT-6 Astra made the website with the 3D Models integrated to the UI controls. It even added floating labels for the HEART !! This is what happens when an AI can actually CREATE 3D assets 👇

SARAH

135,934 次观看 • 7 天前

I’ve been using Grok Bot in early access for a little over a week now, and it has been a massive boost to my game dev workflow and my productivity in general. One of the first things I asked it to do was to visit my custom art generation tool webpage and generate art assets to replace all the image placeholders in my game. It looked through my codebase to understand what each asset was, wrote a custom art generation prompt for every single one, generated the images, cropped and cleaned them up into transparent PNGs, and then wired them back into the game. In about 2 hours, it generated 74 (cleaned and cropped) art assets for the cards and integrated all of them into my game. Now, ALL my art assets workflows go through Grok bot. This blew my mind because, before this, I was doing everything manually, one asset at a time. It basically solved my entire art asset workflow and allowed me to put it on autopilot, which is amazing. I’ve also been using Grok Bot for: Playtesting my game: The bot was a little slow initially, so I asked it to build a skill specifically designed to playtest my game, with intimate knowledge of its rules and mechanics. It’s much faster now, though I’m still looking for ways to optimise its speed. Setting up my itchio page for my game: It also automated a workflow that uploads a new build to itch whenever I push one to GitHub. Going to the itch website and uploading builds manually every single time was always a pain. Flowcharts and UX design: I’m a UX designer by day, so I decided to give it a much bigger task. I fed the agent a PRD and asked it to design the UX flows and wireframes. With the help of the Figma MCP, it actually delivered. Auditing all my paid subscriptions: I had it go through my emails and hunt down subscriptions that I might have forgotten about. Unsubscribing me from marketing newsletters: It did this beautifully, though it did miss a few newsletters. What I’ve learned is that it takes time to discover all the possible use cases for Grok bot. I’ve had to reevaluate my day-to-day workflows and figure out which parts I can delegate to it. So far, it has been a huge productivity unlock for me and I am discovering more uses for my Grok bots every other day.

I’ve been using Grok Bot in early access for a little over a week now, and it has been a massive boost to my game dev workflow and my productivity in general. One of the first things I asked it to do was to visit my custom art generation tool webpage and generate art assets to replace all the image placeholders in my game. It looked through my codebase to understand what each asset was, wrote a custom art generation prompt for every single one, generated the images, cropped and cleaned them up into transparent PNGs, and then wired them back into the game. In about 2 hours, it generated 74 (cleaned and cropped) art assets for the cards and integrated all of them into my game. Now, ALL my art assets workflows go through Grok bot. This blew my mind because, before this, I was doing everything manually, one asset at a time. It basically solved my entire art asset workflow and allowed me to put it on autopilot, which is amazing. I’ve also been using Grok Bot for: Playtesting my game: The bot was a little slow initially, so I asked it to build a skill specifically designed to playtest my game, with intimate knowledge of its rules and mechanics. It’s much faster now, though I’m still looking for ways to optimise its speed. Setting up my itchio page for my game: It also automated a workflow that uploads a new build to itch whenever I push one to GitHub. Going to the itch website and uploading builds manually every single time was always a pain. Flowcharts and UX design: I’m a UX designer by day, so I decided to give it a much bigger task. I fed the agent a PRD and asked it to design the UX flows and wireframes. With the help of the Figma MCP, it actually delivered. Auditing all my paid subscriptions: I had it go through my emails and hunt down subscriptions that I might have forgotten about. Unsubscribing me from marketing newsletters: It did this beautifully, though it did miss a few newsletters. What I’ve learned is that it takes time to discover all the possible use cases for Grok bot. I’ve had to reevaluate my day-to-day workflows and figure out which parts I can delegate to it. So far, it has been a huge productivity unlock for me and I am discovering more uses for my Grok bots every other day.

Danny Limanseta

795,539 次观看 • 1 个月前

GPT-6 Astra can already plan, code, and build. The more interesting question is what happens when it can call a dedicated 3D tool at the exact moment a project needs an asset. So we connected Hyper3D Rodin MCP and asked Astra to build an interactive Solar System Explorer. Astra handled the app logic and integration. When it needed 3D models, it called Hyper3D Rodin directly. Hyper3D Rodin generated the required assets, and Astra brought them back into the project and continued building from there. That is where the workflow gets useful. Instead of stopping to search for assets or creating them manually, Astra can keep moving while Hyper3D handles the specialized 3D generation, with more control over the output and assets that are easier to integrate into the final project. The result is a browser-based solar system where the generated 3D models are part of the actual experience, not just outputs sitting in a model viewer.

GPT-6 Astra can already plan, code, and build. The more interesting question is what happens when it can call a dedicated 3D tool at the exact moment a project needs an asset. So we connected Hyper3D Rodin MCP and asked Astra to build an interactive Solar System Explorer. Astra handled the app logic and integration. When it needed 3D models, it called Hyper3D Rodin directly. Hyper3D Rodin generated the required assets, and Astra brought them back into the project and continued building from there. That is where the workflow gets useful. Instead of stopping to search for assets or creating them manually, Astra can keep moving while Hyper3D handles the specialized 3D generation, with more control over the output and assets that are easier to integrate into the final project. The result is a browser-based solar system where the generated 3D models are part of the actual experience, not just outputs sitting in a model viewer.

GitHub Projects Community

11,097 次观看 • 9 天前