Trellis Image to 3D
Input
Hint: you can drag and drop file(s) here, or provide a base64 encoded data URL Accepted file types: jpg, jpeg, png, webp, gif, avif
Customize your input with more control.
Result
Your request will cost $0.02 per unit.
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Trellis - Advanced AI Model for 3D Generation
Transform your creative workflows with Trellis, a powerful AI model designed for reliable, high-quality 3D asset generation from images. Built for developers who need production-ready 3D models with minimal complexity.
Overview
Trellis provides a streamlined API for generating 3D models from images, utilizing a native 3D generative model based on Structured LATents (SLAT) representation. Whether you're building creative tools, content generation systems, or enhancing existing applications, Trellis delivers consistent, high-quality 3D assets with simple integration.
Getting Started
Setting up Trellis takes just a few minutes. Choose your preferred SDK:
For JavaScript/TypeScript projects:
For Python applications:
Configure your authentication:
JavaScript:
Python:
Basic Usage
Generate your first 3D model with just a few lines of code:
JavaScript:
Python:
Advanced Features
Trellis supports advanced configuration options to fine-tune your results:
3D Output Formats
- Generate multiple 3D representations (Radiance Fields, 3D Gaussians, meshes)
- Export to GLB format for universal compatibility
- Maintain high detail in both geometry and texture
Quality Control
- Intricate shape and texture detail preservation
- Flexible output format selection
- Support for local 3D editing capabilities
API Parameters
Input Parameters:
- (required): URL of the input image
- Additional configuration options available for advanced use cases
Output:
- 3D model in multiple formats
- GLB file export capability
- High-quality mesh and texture data
Best Practices
Maximize your success with Trellis by following these guidelines:
Error Handling
Image Requirements
- Use clear, well-lit images with distinct subjects
- Supported formats: JPG, JPEG, PNG, WebP, GIF, AVIF
- Best results with images showing full object visibility
Technical Specifications
Model Architecture:
- Based on Structured LATents (SLAT) representation
- Powered by Rectified Flow Transformers
- Up to 2 billion parameters
- Trained on 500K diverse 3D objects
Performance Metrics:
- Fast 3D generation from single images
- High-quality output with intricate details
- Multiple output format support
File Upload Support
Upload local images using the file storage API:
Queue-Based Processing
For asynchronous workflows:
Integration Support
Our documentation includes complete reference implementations for:
- React/Next.js applications
- Python backend services
- Node.js environments
- REST API clients
Use Cases
3D Asset Creation
- Game development assets
- Product visualization
- Digital art and design
- AR/VR content creation
Professional Applications
- E-commerce product models
- Architecture visualization
- Educational content
- Creative prototyping
Pricing and Usage
- Cost: $0.02 per unit
- Transparent, usage-based pricing
- No subscription necessary
- No hidden fees or minimum commitments
View detailed pricing or contact sales for enterprise solutions.
Support and Resources
Access comprehensive support through multiple channels:
Documentation
- API Reference
- General fal.ai Documentation
- Code examples and tutorials
Community Support
- Active developer community
- Regular updates and improvements
- Direct technical support
Get started with Trellis today and experience the next generation of AI-powered 3D asset generation. Sign up for an API key at fal.ai.