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Made this fal-powered Roblox Studio plugin over the weekend, text/image to 3D using the new amazing Tripo P1 model! 🎮

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Blendi

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19,700 görüntüleme • 1 ay önce •via X (Twitter)

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Minecraft 3D generation now at the highest quality ever, built using fal ⛏️ Text → Image (nano-banana-pro) → 3D mesh (Hunyuan 3D v3.1) → Voxelize → Texture mapping → Minecraft structure!
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Minecraft 3D generation now at the highest quality ever, built using fal ⛏️ Text → Image (nano-banana-pro) → 3D mesh (Hunyuan 3D v3.1) → Voxelize → Texture mapping → Minecraft structure!

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👁️ ANNOUNCEMENT 🪽 🔴 NEW ARACHNE LOW POLY 3D MODEL Behold my new 3D Model made and brought to life by the amazing: @/artificial0wl (Design) and @/MoonFractal (Model) Go and show some love!!! I cant wait to see you on Tau Ceti this weekend!

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3D Gen AI is almost cracking the code. I created a low poly asset with GPT-Image 1. Then, I transformed it into a vibrant 3D model using the innovative Hunyuan 2.5. It’s absolutely mind-blowing! Testing TencentHunyuan's / Hunyuan new 2.5 model for image to 3D. It's a major improvement over 2.0, with sharper details and reconstructed details. It now generates PBR materials and auto-rigs characters online. In testing, it outperforms Trellis and Tripo.
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3D Gen AI is almost cracking the code. I created a low poly asset with GPT-Image 1. Then, I transformed it into a vibrant 3D model using the innovative Hunyuan 2.5. It’s absolutely mind-blowing! Testing TencentHunyuan's / Hunyuan new 2.5 model for image to 3D. It's a major improvement over 2.0, with sharper details and reconstructed details. It now generates PBR materials and auto-rigs characters online. In testing, it outperforms Trellis and Tripo.

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3D Gen AI is nearly solved. Made a low poly asset with GPT-Image 1, then turned it into a full 3D model using the new Hunyuan 2.5. Absolutely wild.
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CSM 3D AI: New image-to-3D AI program AI is reshaping the future of 3D design. This amazing tool transforms still images into 3D models, and the best part? You can animate them effortlessly using AI. Link in comment!
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Card design using Cavalry for the animation. Midjourney for the source image, turned into a 3D model using KREA AI. Then in Cavalry converted using the Image Sampler.
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Card design using Cavalry for the animation. Midjourney for the source image, turned into a 3D model using KREA AI. Then in Cavalry converted using the Image Sampler.

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Kling 3 is a remarkable model. This was a one-shot generation from an input image and text prompts - the model retained character, scene, and voice consistency across cuts 🤯 IMO this is a step-function change in capabilities. If you haven't tried it yet, head over to fal!

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The Stable Video Diffusion model just dropped 🔥 The new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:

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Blob. Canvas — UI Plugin Onboarding Roblox wouldn't do it so I did🫡 The all-in-one ui importing plugin you'll ever need. More in thread...also yeah this is all in-studio Zack × TR-MZ #Roblox #RobloxDev #RobloxUI

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Just gave Tripo Studio a spin and is wild! You can turn any image into a 3D model with AI and then tweak it endlessly with different colors, textures... Here’s a step-by-step guide to show you how (prompts included) 🧵👇

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the fact that i can take an image of a room and turn it into a 3d model in one shot is actually insane this took like 30 seconds from image to 3d model
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the fact that i can take an image of a room and turn it into a 3d model in one shot is actually insane this took like 30 seconds from image to 3d model

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Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

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