OmniPart Image to 3D

Turn images into detailed 3D models with separated parts ready for use.

Input

Input Example
Original

Output

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Generated

Create a 3D model from your image in seconds

10,000+ generations this month

📄 About OmniPart Image to 3D
Key Features
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.
💡 Use Cases
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.
🎯 Best For
🎯 Professional designers, educators, game developers, animators, engineers, and digital artists seeking fast, flexible image-to-3D conversion.
👍 Pros
Produces highly accurate, part-aware 3D models from simple images.
Supports detailed customization of segmentation and merging for optimal results.
Outputs industry-standard GLB files compatible with most 3D software.
Streamlines the 3D asset creation process, saving time and resources.
User-friendly interface with advanced options for both beginners and experts.
Enables generation of exploded views and modular assets for enhanced visualization.
⚠️ Considerations
Requires clear, well-defined input images for best results.
Generation time may vary depending on image complexity and segmentation settings.
Advanced segmentation options may have a learning curve for new users.
Currently outputs only in GLB format, which may require conversion for some workflows.
📚 How to Use OmniPart Image to 3D
1
Upload or provide a URL for your input image using the model interface.
2
Set the minimum segment size to control the detail level of 3D part segmentation.
3
Adjust the guidance scale to influence the creativity and fidelity of the generated model as desired.
4
Optionally, specify segment merging in the 'parts' field to combine certain components.
5
Initiate the generation process and wait for the model to process your image (typically 2-3 minutes).
6
Download the resulting GLB 3D asset package and integrate it into your preferred workflow.
Frequently Asked Questions
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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