Generate 3D models from images
Demo for Amodal3R reconstruction
Generate 3D images from textual prompts
Create 3D models from images and data
VGGT (CVPR 2025)
Convert 2D images to 3D models
Scalable and Versatile 3D Generation from images
Convert sketches into TikZ code
Generate 3D models from text descriptions
Generate 3D models from images
3D model reconstruction from video
Generate 3D models from images
Huggingfab is an AI-powered tool designed to convert 2D sketches into 3D models. It leverages advanced machine learning algorithms to transform flat, two-dimensional images into three-dimensional representations with depth and detail. Ideal for designers, artists, and engineers, Huggingfab simplifies the process of creating 3D assets from 2D inputs, making it a versatile tool for various industries.
• 2D to 3D Conversion: Seamlessly transform 2D sketches into 3D models with high accuracy.
• Customizable Settings: Adjust model parameters to refine output according to specific needs.
• Multiple Formats Supported: Export models in popular formats for compatibility with other software.
• User-Friendly Interface: Intuitive design for ease of use, even for those new to 3D modeling.
• Real-Time Rendering: Preview results in real-time to ensure desired outcomes.
What file formats does Huggingfab support?
Huggingfab supports PNG, JPG, and BMP for input and OBJ, STL, and GLB for output.
Can I customize the 3D model after generation?
Yes, Huggingfab allows you to adjust settings like depth, texture, and smoothness to refine your model before finalizing it.
What are the typical use cases for Huggingfab?
Common use cases include product design prototyping, game asset creation, and architectural visualization. It is ideal for anyone needing to convert 2D concepts into 3D models quickly.