image-to-3d-generation

Convert 2D images into 3D models using AI pipelines.

Updated Jun 4, 2026

Search Tags:#3d-modeling #image-to-3d #ai-conversion #TRELLIS.2 #Colab notebook

Ready to run

npx skills add https://github.com/kngender5/hermes --skill image-to-3d-generation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: image-to-3d-generation
Source: https://github.com/kngender5/hermes/tree/main/skills/mlops/image-to-3d-generation
Command: npx skills add https://github.com/kngender5/hermes --skill image-to-3d-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch, torchvision, trimesh, pillow, numpy, imageio, imageio-ffmpeg, tqdm, easydict, opencv-python-headless, ninja, transformers, accelerate, safetensors, diffusers, huggingface_hub, rembg, gradio, kornia, timm, zstandard, pandas, lpips, utils3d, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of converting 2D images into 3D models, making it easier for users to visualize and manipulate 3D content.

Core Features & Use Cases

Image-to-3D Conversion: Utilizes AI pipelines to transform images into 3D models.
Model Selection: Offers various models for different image types and quality requirements.
Preprocessing: Provides tools for image preprocessing, such as background removal and cropping.
Use Case: Ideal for designers, engineers, and artists who need to quickly generate 3D models from images for visualization or further manipulation.

Quick Start

Generate a 3D model from an image using the image-to-3d-generation skill.

Frequently Asked Questions about image-to-3d-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert a 2D image to a 3D model using AI?▼

To convert a 2D image to a 3D model using AI, this pipeline utilizes the TRELLIS.2 framework to process images and generate 3D meshes. It handles the end-to-end workflow from image preprocessing to final 3D model generation.

Do I need to remove image backgrounds before generating 3D models?▼

Background removal before generating 3D models is handled automatically during preprocessing using the rembg library. This ensures clean subject isolation for accurate 3D geometry extraction.

What Python libraries are required for image-to-3D conversion?▼

Image-to-3D conversion requires Python libraries including torch, torchvision, trimesh, diffusers, and transformers. These handle machine learning inference, 3D mesh processing, and image manipulation within the pipeline.

Can I use TRELLIS.2 in a Colab notebook for 3D model generation?▼

Yes, you can run this TRELLIS.2 image-to-3D pipeline in a Colab notebook. The environment supports standard Python dependencies like gradio for interface building and accelerate for optimized machine learning performance.

What is the best way to generate 3D models from single images for design?▼

The best way to generate 3D models from single images for design is using an AI pipeline like TRELLIS.2. It transforms 2D inputs into 3D assets suitable for visualization, engineering, and artistic manipulation.

Why does image-to-3D AI conversion require preprocessing tools like OpenCV?▼

Image-to-3D AI conversion requires preprocessing tools like OpenCV and Pillow to normalize input dimensions, crop boundaries, and remove backgrounds. These steps ensure the TRELLIS.2 model receives clean, focused data for accurate mesh generation.