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pixal3d-image-to-3d

Convert 2D images to 3D GLB models using Pixal3D with Docker.

5|1|Updated May 17, 2026
Search Tags:#Docker#3D modeling#3D rendering#image to 3D#Pixal3D
One-click install
npx skills add https://github.com/Sunwood-ai-labs/pixal3d-docker-solarpunk-town-skill --skill pixal3d-image-to-3d
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pixal3d-image-to-3d
Source: https://github.com/Sunwood-ai-labs/pixal3d-docker-solarpunk-town-skill/tree/main
Command: npx skills add https://github.com/Sunwood-ai-labs/pixal3d-docker-solarpunk-town-skill --skill pixal3d-image-to-3d

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Docker, NVIDIA, Pixal3D, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill generates high-quality 3D models from images using the Pixal3D Docker workflow, solving the need for creating 3D assets from images efficiently.

Core Features & Use Cases

  • Image-to-3D Conversion: Automatically convert images into 3D GLB models using Pixal3D's deep learning capabilities.
  • Customization: Adjust FOV, background removal settings, and apply tilt correction for better results.
  • Use Case: Convert a 2D image of a building into a 3D model for architectural visualization.

Quick Start

Run the command docker compose up viewer to start the town viewer. Then use the generate_3d endpoint to convert an image into a GLB model.

Frequently Asked Questions about pixal3d-image-to-3d

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

FAQPage Schema
How do I convert 2D images to 3D models using Docker?▼

To convert 2D images to 3D models using Docker, run `docker compose up viewer` and use the `generate_3d` endpoint. This creates GLB models from images using Pixal3D deep learning capabilities.

Do I need an NVIDIA GPU to generate 3D models from images with Pixal3D?▼

Yes, generating 3D models from images with Pixal3D requires an NVIDIA GPU. The Docker workflow also requires Pixal3D model caches to properly run the deep learning conversion process.

Can I adjust camera angles and background removal settings during image to 3D conversion?▼

Yes, during image to 3D conversion you can apply custom camera angles, adjust FOV, configure background removal settings, and apply tilt correction to optimize your GLB model output.

What is the best way to create 3D assets for architectural visualization from images?▼

The best way to create 3D assets for architectural visualization from images is using the Pixal3D Docker workflow, which converts 2D building images into 3D GLB models efficiently.

Does the Pixal3D Docker workflow support various image formats for 3D modeling?▼

Yes, the Pixal3D Docker workflow supports various image formats for 3D modeling. It handles custom configurations like FOV and tilt correction to process images into GLB models.

Why does image to 3D conversion require Docker and Pixal3D model caches?▼

Image to 3D conversion requires Docker and Pixal3D model caches because the deep learning models needed to generate GLB models are containerized and rely on cached data for processing.

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