Turn 2D images into game-ready 3D assets instantly. Jupetar runs 100% locally on your NVIDIA GPU—no subscriptions, no cloud queues, no data leaks. Just drag, drop, and export high-fidelity GLB models for Unreal, Unity, and Blender. You own the software; you own the assets.

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About This Software

Turn 2D concept art into game-ready 3D assets in minutes. Jupetar is a professional, 100% offline 3D authoring engine powered by generative AI. Designed specifically for solo developers, indie studios, and 3D artists, Jupetar bridges the massive gap between 2D images and the game engine—without cloud subscriptions, server queues, or data leaks.

Simply drag and drop a single image. Jupetar's automated pipeline handles the voxel generation, adaptive poly-decimation, UV unwrapping, and 4K PBR texturing.

The V3.0 "Quantum-Weave" Architecture With the V3.0 update, Jupetar has been completely rebuilt from the ground up to deliver Triple-A asset quality while respecting consumer hardware limits:

  • Context-Aware AI (VLM): Jupetar doesn't just guess materials. An onboard Vision-Language Model actively "looks" at your concept art to understand the physical structure before generating the 3D model, ensuring the AI knows the difference between polished metal armor and organic leather.

  • True 4K PBR Textures: The new "Quantum-Weave" orthographic upscaler intercepts the AI generation and natively upscales the camera views to 2048x2048 before baking them onto the mesh, eliminating muddy artifacts.

  • Dynamic Material Synthesis: The engine procedurally generates highly accurate Albedo, Normal, Roughness, and Metallic maps so your assets react beautifully to lighting in Unreal Engine, Unity, and Blender.

  • The 10GB VRAM Shield: Jupetar utilizes an aggressive "Asymmetrical Memory Pinning" manager. You get the quality of an enterprise-level 80GB AI server cluster running locally on a standard 10GB RTX GPU in under 8 minutes.

  • Drop-In Ready: Automated silhouette extraction (RMBG), watertight voxel sealing, and contiguous XAtlas UV mapping ensure your models are ready to export instantly as .GLB or .OBJ files.

Zero Cloud. Zero Subscriptions. You own the software. You own the compute. You own the assets. Jupetar runs entirely on your local NVIDIA GPU. Your concept art, assets, and prompts are never uploaded, collected, or used to train external AI models.

Hardware Requirements Note: Jupetar currently requires an NVIDIA RTX graphics card with a strict minimum of 10GB of VRAM (e.g., RTX 3080). AMD Radeon and Intel graphics cards are not currently supported.

AI Generated Content Disclosure

The developers describe how their game uses AI Generated Content like this:

Jupetar is a dedicated 2D-to-3D asset generation engine powered entirely by generative artificial intelligence. The software utilizes localized, open-weights AI networks (including diffusion and 3D generation models) running directly on the user's hardware to convert user-provided 2D concept art and images into 3D meshes and textures. All AI processing is performed offline on your local GPU. Jupetar does not connect to external cloud generation services, and your personal assets, images, and prompts are never uploaded, collected, or used to train external AI models.

System Requirements

    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windows 10 (64-bit)
    • Processor: Intel Core i5-8400 / AMD Ryzen 5 2600
    • Memory: 16 GB RAM
    • Graphics: NVIDIA RTX 2070 or RTX 3060 (8GB VRAM Minimum)
    • DirectX: Version 12
    • Storage: 45 GB available space
    • Additional Notes: NVIDIA RTX GPU (10GB+ VRAM) REQUIRED. SSD Mandatory. Incompatible with AMD/Intel GPUs.
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11 (64-bit)
    • Processor: Intel Core i9-12900K / AMD Ryzen 9 5900X
    • Memory: 32 GB RAM
    • Graphics: NVIDIA RTX 3080 or RTX 4070 (10GB+ VRAM)
    • DirectX: Version 12
    • Storage: 35 GB available space
    • Additional Notes: NVIDIA RTX GPU (10GB+ VRAM) REQUIRED. SSD Mandatory. Incompatible with AMD/Intel GPUs.

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