Convert images to detailed 3D models with separated parts and complete asset packages.
Fill in the parameters below and click "Generate" to try this model
Input image for 3D model generation
Minimum segment size in pixels (1-10000)
Guidance scale for generation (0-20)
Specify segment merging (e.g., '0,1;3,4' merges 0&1 and 3&4)
Your inputs will be saved and ready after sign in
Turn sketches and line art into detailed 3D models. Combine sketch structure with text description for color, material, and category. Image resolution: 128x128 to 5000x5000 pixels
Reconstruct objects from photos into 3D models with geometry and texture.
Create production-ready 3D models from text or images (up to 5) with rigging support
Generate 3D models with realistic PBR textures and customizable quality
Transform photos into ultra-high-resolution 3D models. Film-quality geometry with PBR textures. Optional multi-view input (front/back/left/right) for better reconstruction. Ready for games, e-commerce, 3D printing
Generate high-quality 3D models from images. Native 3D generative model with versatile asset creation. Outputs GLB format ready for Unity, Unreal, Blender
Turn single images into production-ready 3D models with enhanced quality
Turn a single photo into accurate 3D body models with pose and shape.
Turn 1-4 images into production-ready 3D models with PBR textures
Advanced part-aware segmentation for accurate identification and separation of individual components within an image.
Customizable minimum segment size to control the level of detail and segmentation granularity in the 3D output.
Semantic decoupling and structural cohesion preserve the relationships between parts for realistic and logical assembly.
Exploded parts view supports modular asset creation and enhances visualization for educational or design purposes.
Flexible segment merging via user-defined parameters for tailored 3D model generation.
Outputs complete 3D asset packages in widely compatible GLB format, including mesh and texture data.
Fast generation with options for reproducibility and guidance scale to fine-tune creative results.
Rapid prototyping and visualization of product designs from concept images.
Creation of educational 3D models for anatomy, engineering, or scientific illustration.
Generating modular 3D assets for game development, animation, or AR/VR experiences.
Transforming reference photos into ready-to-print 3D models for manufacturing or hobbyist projects.
Developing exploded views for technical documentation and assembly instructions.
Accelerating the asset creation pipeline for digital artists and content creators.
Enhancing e-commerce listings with interactive, part-aware 3D product displays.
Professional designers, educators, game developers, animators, engineers, and digital artists seeking fast, flexible image-to-3D conversion.
Upload or provide a URL for your input image using the model interface.
Set the minimum segment size to control the detail level of 3D part segmentation.
Adjust the guidance scale to influence the creativity and fidelity of the generated model as desired.
Optionally, specify segment merging in the 'parts' field to combine certain components.
Initiate the generation process and wait for the model to process your image (typically 2-3 minutes).
Download the resulting GLB 3D asset package and integrate it into your preferred workflow.
Clear, high-resolution images with distinct parts and minimal background clutter yield the most accurate and detailed 3D models. Well-lit and front-facing views of objects enhance segmentation and modeling precision.
Yes, you can adjust the minimum segment size and use the 'parts' parameter to merge specific segments according to your needs. This provides flexibility in tailoring the 3D asset to your project requirements.
OmniPart Image to 3D generates output in the GLB file format, which includes both the mesh and textures. GLB is widely supported across 3D applications and platforms.
Pricing varies by model and is based on a pay-as-you-go credit system. This allows flexibility and scalability for users with different project sizes and needs.
Generation time typically ranges from 2 to 3 minutes depending on the complexity of the image and chosen settings. Larger or more detailed segmentations may require additional processing time.
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