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HunyuanImage 3.0, Hunyuan Image 3.0

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    3D-to-photo is an open source tool for Generative AI product photography, that uses 3D models to allow fine camera angle control in generated images. If you have 3D models created using the iOS 3D scanner you can upload them directly on to 3D-to-photo and describe the scene you want to create. For example: "on a city side walk" "near a lake, overlooking the water" Then click "generate" to get the final images. The tech stack behind 3D-to-photo: Handling 3d models on the web: @threejs Hosting the diffusion model: @replicate 3D scanning apps: shopify,Polycam3D or LumaLabsAI

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  15. 15TT

    Hi everyone, I built a UI for the new open-source Hunyuan Motion model to generate 3D animations from text: https://hy-motion.ai It generates BVH files instantly. I'm trying to bridge the gap between "cool AI demo" and "useful game dev tool". Question for 3D devs/animators: If you were to use this in production, what is the single biggest missing feature? 1. Export Pipeline: Auto-conversion to FBX for Unity/Unreal? 2. Motion Fusion: Blending multiple prompts into one long sequence? 3. Rig Variety: Support for non-humanoid skeletons? Feedback is much appreciated.

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    It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)

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  24. 24SD

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