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From generated reference images to riding a robot raptor in Fortnite 🦖 For now mostly the same workflow, but I also used Nano Banana to get that toe claw in the image lol. Other steps: Images from Grok Imagine, Tripo for raw 3D generation, Hunyuan 3D Studio for lowpoly...

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Jerome | InsaneUnreal

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41,098 görüntüleme • 7 ay önce •via X (Twitter)

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Hard surface model test: 3D model of an unfinished overland build. Got really nice images again from Grok. Also realised an ‘unfinished’ vehicle might not be the best idea lol. Anyways, I was well surprised with the results. I don’t trust rotating a generated wheel yet 😁, so I made the wheels in Blender. Very similar workflow as the mech character: Images from Grok Imagine, Tripo for raw 3D generation, Hunyuan 3D Studio for lowpoly and UV unwrap, Trellis2 in ComfyUI for texturing + upscaling. Blender final preparation. Unreal Engine / UEFN shaders. Next time i'd work a bit longer on the normals.
1:07

Hard surface model test: 3D model of an unfinished overland build. Got really nice images again from Grok. Also realised an ‘unfinished’ vehicle might not be the best idea lol. Anyways, I was well surprised with the results. I don’t trust rotating a generated wheel yet 😁, so I made the wheels in Blender. Very similar workflow as the mech character: Images from Grok Imagine, Tripo for raw 3D generation, Hunyuan 3D Studio for lowpoly and UV unwrap, Trellis2 in ComfyUI for texturing + upscaling. Blender final preparation. Unreal Engine / UEFN shaders. Next time i'd work a bit longer on the normals.

Jerome | InsaneUnreal

169,087 görüntüleme • 7 ay önce

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.
1:17

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

82,884 görüntüleme • 5 ay önce

In this experiment I wanted to try something with facial expressions and have it work with native Unreal Engine tools. I did find that generating the head with an open mouth helped to get some extra details. Creating those blend shapes was still not easy and this result is far from perfect. Ideally i want 58 generated expression references and have AI figure that out haha. btw first time baking the high poly details onto the low poly generated character. That worked surprisingly well! Endresult has 34k triangles! Built this character in 4 separate parts in Blender and generated each part in Hunyuan 3D Studio. The original references came from Nano Banana 2 and Grok. Trellis 2 in ComfyUI for the texturing. The animation was done with Control Rig in UEFN / Unreal Engine. With all the experiments so far, file and version management start to become a challenge. Getting files from different platforms with each platform having their own filename logic. I’ll have to find something to keep it more organized. Any suggestions?
1:26

In this experiment I wanted to try something with facial expressions and have it work with native Unreal Engine tools. I did find that generating the head with an open mouth helped to get some extra details. Creating those blend shapes was still not easy and this result is far from perfect. Ideally i want 58 generated expression references and have AI figure that out haha. btw first time baking the high poly details onto the low poly generated character. That worked surprisingly well! Endresult has 34k triangles! Built this character in 4 separate parts in Blender and generated each part in Hunyuan 3D Studio. The original references came from Nano Banana 2 and Grok. Trellis 2 in ComfyUI for the texturing. The animation was done with Control Rig in UEFN / Unreal Engine. With all the experiments so far, file and version management start to become a challenge. Getting files from different platforms with each platform having their own filename logic. I’ll have to find something to keep it more organized. Any suggestions?

Jerome | InsaneUnreal

46,691 görüntüleme • 6 ay önce

I tried to split some tasks up. After Tripo generated the quad mesh, I did a manual unwrap in Blender to give important parts bigger UV space. That definitely helped with the perceived texture sharpness. Auto-textured the mesh with Trellis2 in ComfyUI. Interesting to see all steps involved. For my workflow in UEFN I need good 2K textures so unwrapping is still important. Gonna test other platforms soon. Current imported mesh into UEFN has 15K triangles.
0:30

I tried to split some tasks up. After Tripo generated the quad mesh, I did a manual unwrap in Blender to give important parts bigger UV space. That definitely helped with the perceived texture sharpness. Auto-textured the mesh with Trellis2 in ComfyUI. Interesting to see all steps involved. For my workflow in UEFN I need good 2K textures so unwrapping is still important. Gonna test other platforms soon. Current imported mesh into UEFN has 15K triangles.

Jerome | InsaneUnreal

15,606 görüntüleme • 7 ay önce

Tested this concepting workflow. ▶️ Converting a level design image to a 3D asset gallery image ▶️ re-generating segmented subjects into separate high quality images. ▶️ using these images to generate the 3D meshes. First time using 'for loops' in ComfyUI, works great and the prompts are updated for every segment. I used the Nano Banana 2 API node in ComfyUI to generate the final high quality images. Those SAM3 nodes are crazy btw, just set some points and it creates a mask! For the 3D model generation I used the new Tripo Smart Mesh tool, which is fast! The output is not perfect yet. I think in a lot of cases not production ready right now but that depends on the input image and the goal as well. For pre-production / concepting phase it's perfect and for far distance meshes it’s fine. I’m sure these tools keep improving, curious what we can work with in 3-6 months. Minimal cleanup and scaling in Blender and tested the meshes in UEFN / Unreal Engine. After creating the ComfyUI workflow it took less than an hour to do everything.
1:28

Tested this concepting workflow. ▶️ Converting a level design image to a 3D asset gallery image ▶️ re-generating segmented subjects into separate high quality images. ▶️ using these images to generate the 3D meshes. First time using 'for loops' in ComfyUI, works great and the prompts are updated for every segment. I used the Nano Banana 2 API node in ComfyUI to generate the final high quality images. Those SAM3 nodes are crazy btw, just set some points and it creates a mask! For the 3D model generation I used the new Tripo Smart Mesh tool, which is fast! The output is not perfect yet. I think in a lot of cases not production ready right now but that depends on the input image and the goal as well. For pre-production / concepting phase it's perfect and for far distance meshes it’s fine. I’m sure these tools keep improving, curious what we can work with in 3-6 months. Minimal cleanup and scaling in Blender and tested the meshes in UEFN / Unreal Engine. After creating the ComfyUI workflow it took less than an hour to do everything.

Jerome | InsaneUnreal

17,461 görüntüleme • 6 ay önce

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.
1:39

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.

Jerome | InsaneUnreal

26,608 görüntüleme • 4 ay önce

Not bad! 2K triangles and a bit of manual cleanup. This was a quick test creating a lowpoly 3D model. Tried Tripo for retopology and it did a good job. It does render some inverted normals though. For this lowpoly model it’s fine but inverted normals are a pain when working on highpoly models. I’m going to test some other options like the remesh tool in Blender sculpting. It’s crazy how this Trellis Texturing node works btw, It understands the geometry very well. Watch the end where I made the worst version of an Axe in Blender and it was able to wrap the texture on that model! I would probably spend a bit more time splitting the image up and generating the main parts separately. Also making any signs readable or just remove them.
1:10

Not bad! 2K triangles and a bit of manual cleanup. This was a quick test creating a lowpoly 3D model. Tried Tripo for retopology and it did a good job. It does render some inverted normals though. For this lowpoly model it’s fine but inverted normals are a pain when working on highpoly models. I’m going to test some other options like the remesh tool in Blender sculpting. It’s crazy how this Trellis Texturing node works btw, It understands the geometry very well. Watch the end where I made the worst version of an Axe in Blender and it was able to wrap the texture on that model! I would probably spend a bit more time splitting the image up and generating the main parts separately. Also making any signs readable or just remove them.

Jerome | InsaneUnreal

15,052 görüntüleme • 8 ay önce

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)
0:55

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,841 görüntüleme • 1 yıl önce

Nano Banana in Photoshop is a game-changer that allows precise control, working with real-life product references at high precision while using all of Photoshop professional tools that are needs to get production grade quality. Starting from reference image, changing shoes, sweater and earings in a matter of seconds, and then retouching to make sure the final result. Check out the links in the comment for videos on how this tool is used for architecture, fashion and advertisements
2:15

Nano Banana in Photoshop is a game-changer that allows precise control, working with real-life product references at high precision while using all of Photoshop professional tools that are needs to get production grade quality. Starting from reference image, changing shoes, sweater and earings in a matter of seconds, and then retouching to make sure the final result. Check out the links in the comment for videos on how this tool is used for architecture, fashion and advertisements

Astria

1,065,792 görüntüleme • 11 ay önce

Let's build the next character for the team! I’m continuing to test the modular character setup in UEFN using the Metahuman Component. Works really well with custom NPCs! For this new character, I'm back to a fresh 3D workflow using AssetHub . Still aiming for that flat/ anime style so I can go straight to the Tripo P1 model and get the low poly textured meshes to work with. Assembling and rigging are done in Blender. Again making a shape key for the eyes blinking. Because I'm going to use the same bone structure, I can re-use some Control Rig systems like the hair and eyes procedural animations. The character has 35K triangles and each accessory is about 2.5K.
1:17

Let's build the next character for the team! I’m continuing to test the modular character setup in UEFN using the Metahuman Component. Works really well with custom NPCs! For this new character, I'm back to a fresh 3D workflow using AssetHub . Still aiming for that flat/ anime style so I can go straight to the Tripo P1 model and get the low poly textured meshes to work with. Assembling and rigging are done in Blender. Again making a shape key for the eyes blinking. Because I'm going to use the same bone structure, I can re-use some Control Rig systems like the hair and eyes procedural animations. The character has 35K triangles and each accessory is about 2.5K.

Jerome | InsaneUnreal

16,578 görüntüleme • 3 ay önce

A genuinely good 3D character is a two-day job now, not a two-week. ⚡ I rebuilt my whole AI character workflow and recorded every stage of it - concepting, generation, cleanup, Blender prep, retopology, UVs, texturing, rigging, Unreal. This time I also go through the extra shortcuts and the quality side: the best materials I've gotten out of the new AI models, plus the eyes and eyelashes hack. UE 5.8 makes the final setup much easier too. Made for complete beginners in 3D. If you've never opened Blender, this is where you start 👇 Full video:
1:00

A genuinely good 3D character is a two-day job now, not a two-week. ⚡ I rebuilt my whole AI character workflow and recorded every stage of it - concepting, generation, cleanup, Blender prep, retopology, UVs, texturing, rigging, Unreal. This time I also go through the extra shortcuts and the quality side: the best materials I've gotten out of the new AI models, plus the eyes and eyelashes hack. UE 5.8 makes the final setup much easier too. Made for complete beginners in 3D. If you've never opened Blender, this is where you start 👇 Full video:

Stefan 3D AI

47,062 görüntüleme • 1 ay önce

Using MeshyAI alongside Blender with Codex/Astra for 3D game creation is such an unlock for higher-fidelity characters (the models aren't great at procedurally creating characters in my experience) My workflow starts by generating high-res image refs (in t-pose and nothing else in background) of target characters in Codex/GPT Image 2 (or finding some online) The model then handles image-to-3d via Meshy REST API, as well as rigging + animating the models and integrating them into target game (the latter piece is where frontier models really stand out) I always have the agent create a local studio page so I can view and interact with the generated models! Tl;dr: Bowser T-pose image → 4 Blender reference images → Meshy image-to-3D → Blender cleanup (3M → 35K triangles) → Meshy auto-rigging → walk/run animations → interactive Three.js viewer
0:21

Using MeshyAI alongside Blender with Codex/Astra for 3D game creation is such an unlock for higher-fidelity characters (the models aren't great at procedurally creating characters in my experience) My workflow starts by generating high-res image refs (in t-pose and nothing else in background) of target characters in Codex/GPT Image 2 (or finding some online) The model then handles image-to-3d via Meshy REST API, as well as rigging + animating the models and integrating them into target game (the latter piece is where frontier models really stand out) I always have the agent create a local studio page so I can view and interact with the generated models! Tl;dr: Bowser T-pose image → 4 Blender reference images → Meshy image-to-3D → Blender cleanup (3M → 35K triangles) → Meshy auto-rigging → walk/run animations → interactive Three.js viewer

Rishi

69,345 görüntüleme • 8 gün önce

Now this ComfyUI experiment has some potential! #3 Tested the new Trellis 2 Image to 3D and i’m getting decent results. Separating the head and body helped a bit with some details. Also discovering useful helper workflows like removing backgrounds, upscaling and creating Normal maps. Still crazy how it just splits up an illustration like that! This example has 20K triangles, created from 1 front-view, which is not bad! I haven’t tested retopology yet, might have to check Tripo. Also want to test the multi-image setup. There is still some cleanup needed, but nothing to bad. Exploring several pipeline methods and so far the vertex color masking is helpful to keep everything in 1 material.
1:22

Now this ComfyUI experiment has some potential! #3 Tested the new Trellis 2 Image to 3D and i’m getting decent results. Separating the head and body helped a bit with some details. Also discovering useful helper workflows like removing backgrounds, upscaling and creating Normal maps. Still crazy how it just splits up an illustration like that! This example has 20K triangles, created from 1 front-view, which is not bad! I haven’t tested retopology yet, might have to check Tripo. Also want to test the multi-image setup. There is still some cleanup needed, but nothing to bad. Exploring several pipeline methods and so far the vertex color masking is helpful to keep everything in 1 material.

Jerome | InsaneUnreal

21,534 görüntüleme • 8 ay önce

Generating flipbooks in ComfyUI. Nothing too crazy, but these little AI workflows are definitely helpful! 🐦 When I input a black frame to the FirstLastFrame node I got some decent impulse textures. using Wan 2.2 btw. For the bird to work i had to generate between 30-60 frames and extract every 4 frames to get better wing motion. In UEFN / Unreal Engine i'm offsetting the animation phase for every particle to get a more random result.
0:59

Generating flipbooks in ComfyUI. Nothing too crazy, but these little AI workflows are definitely helpful! 🐦 When I input a black frame to the FirstLastFrame node I got some decent impulse textures. using Wan 2.2 btw. For the bird to work i had to generate between 30-60 frames and extract every 4 frames to get better wing motion. In UEFN / Unreal Engine i'm offsetting the animation phase for every particle to get a more random result.

Jerome | InsaneUnreal

10,952 görüntüleme • 7 ay önce

I’m not a 3D artist, but I had so much fun today testing Slop Unbound and creating cute creatures and models for the first time It’s FREE, experimental, easy to play with, and honestly, one of the most fun ways I’ve used AI for visual creation because you get real control instead of just prompting and hoping for the best You do not need to rely only on Blender anymore AI can simplify your workflow and make 3D creation feel much more accessible If you are into 3D art, character design, or just curious about new creative tools, you should absolutely test it. It’s fast, fun, and surprisingly addictive I’ll share more in the coming days, but for now, go try it yourself for FREE and share your results. I think you’re going to love it, link in the first comment 👇🏻
0:40

I’m not a 3D artist, but I had so much fun today testing Slop Unbound and creating cute creatures and models for the first time It’s FREE, experimental, easy to play with, and honestly, one of the most fun ways I’ve used AI for visual creation because you get real control instead of just prompting and hoping for the best You do not need to rely only on Blender anymore AI can simplify your workflow and make 3D creation feel much more accessible If you are into 3D art, character design, or just curious about new creative tools, you should absolutely test it. It’s fast, fun, and surprisingly addictive I’ll share more in the coming days, but for now, go try it yourself for FREE and share your results. I think you’re going to love it, link in the first comment 👇🏻

Amira Zairi

32,890 görüntüleme • 5 ay önce

I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI
1:02

I tried to see how far I could push my current AI + 3D workflow and build a playable 3D game prototype in just 3 days😶 Not by asking AI to make the whole game in one prompt. I had my own idea, knew what I wanted to build, and used AI as a tool: - for concepting, - asset generation & texturing, - gameplay logic with the new UE 5.8 MCP + Claude Code. And honestly, it is crazy how far you can get now with the right workflow. Full video - #UE5 #ClaudeCode #AI3D #3DAI

Stefan 3D AI

20,994 görüntüleme • 2 ay önce

🚀Exciting News! Tencent Hunyuan 3D AI Creation Engine v2.5 is here, revolutionizing 3D generation with ultra-high-definition modeling! 1⃣Massive Leap in Precision: Upgraded geometric model with 10B parameters (up from 1B) and 10x more mesh faces, delivering 1024-resolution geometric details—smoother surfaces, sharper edges, and richer visuals! 2⃣High-quality Textures & PBR: Supports high-quality textures and fine-grained bump mapping for lifelike surfaces. Industry-first multi-view PBR generation for realistic lighting and reflections. 3⃣Animation Boost: Optimized skeletal rigging with automatic bone binding and skin weight assignment, streamlining 3D animation workflows. 4⃣Flexible Workflows: New pipeline templates for text-to-3D and image-to-3D mesh reduction, plus multi-view 3D generation, empowering game development, animation, and more with customizable 3D assets. 5⃣Accessible Creation: Generate high-quality 3D models from text or images, slashing complexity. Free daily quota doubled to 20 for the AI Engine, with the API now live on Tencent Cloud! ☀️From games to AR/VR, Hunyuan 3D is redefining 3D AIGC, making creation faster, smarter, and more inclusive. Try it now! Tencent Hunyuan 3D AI Creation Engine: Tencent Hunyuan 3D Open Source:
1:30

🚀Exciting News! Tencent Hunyuan 3D AI Creation Engine v2.5 is here, revolutionizing 3D generation with ultra-high-definition modeling! 1⃣Massive Leap in Precision: Upgraded geometric model with 10B parameters (up from 1B) and 10x more mesh faces, delivering 1024-resolution geometric details—smoother surfaces, sharper edges, and richer visuals! 2⃣High-quality Textures & PBR: Supports high-quality textures and fine-grained bump mapping for lifelike surfaces. Industry-first multi-view PBR generation for realistic lighting and reflections. 3⃣Animation Boost: Optimized skeletal rigging with automatic bone binding and skin weight assignment, streamlining 3D animation workflows. 4⃣Flexible Workflows: New pipeline templates for text-to-3D and image-to-3D mesh reduction, plus multi-view 3D generation, empowering game development, animation, and more with customizable 3D assets. 5⃣Accessible Creation: Generate high-quality 3D models from text or images, slashing complexity. Free daily quota doubled to 20 for the AI Engine, with the API now live on Tencent Cloud! ☀️From games to AR/VR, Hunyuan 3D is redefining 3D AIGC, making creation faster, smarter, and more inclusive. Try it now! Tencent Hunyuan 3D AI Creation Engine: Tencent Hunyuan 3D Open Source:

Tencent Hy

58,225 görüntüleme • 1 yıl önce

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai
0:24

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Martin Nebelong

48,280 görüntüleme • 2 yıl önce

Adobe.. has released a tool that combines Generative Gaussian Splats with a Diffusion layer and it's not all over the internet? WHAT IS GOING ON :D I had to test this out ofc! Substance 3D viewer, the new 3d viewer just released by Adobe, not only supports viewing of a large, large list of 3d formats, but it also supports generating of 3d models as Gaussian Splats. Combine that with the built-in 3d to image functionality and you basically have at least a few of the steps I've been doing for the last year or so using multiple tools. Exciting stuff! The new Photoshop Beta also supports the 3D viewer and you can import 3d files directly in photoshop as smart objects linked to the viewer. The elements you prompt in based on your models, can be easily exported to your clipboard without backgrounds making it very easy to use this in your normal image editing workflows. I have a suspicion that we'll see much more of this in other Adobe tools and I'm very curious to see this used for things like this in more 3d tools than "just" Adobe Neo (which is fantastic btw). #adobe #art #gaussiansplatting
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Adobe.. has released a tool that combines Generative Gaussian Splats with a Diffusion layer and it's not all over the internet? WHAT IS GOING ON :D I had to test this out ofc! Substance 3D viewer, the new 3d viewer just released by Adobe, not only supports viewing of a large, large list of 3d formats, but it also supports generating of 3d models as Gaussian Splats. Combine that with the built-in 3d to image functionality and you basically have at least a few of the steps I've been doing for the last year or so using multiple tools. Exciting stuff! The new Photoshop Beta also supports the 3D viewer and you can import 3d files directly in photoshop as smart objects linked to the viewer. The elements you prompt in based on your models, can be easily exported to your clipboard without backgrounds making it very easy to use this in your normal image editing workflows. I have a suspicion that we'll see much more of this in other Adobe tools and I'm very curious to see this used for things like this in more 3d tools than "just" Adobe Neo (which is fantastic btw). #adobe #art #gaussiansplatting

Martin Nebelong

280,078 görüntüleme • 1 yıl önce