StableNormal

Compute normals for images and videos

What is StableNormal ?

StableNormal is a powerful AI tool designed to compute normals for images and videos. It provides a robust solution for generating high-quality normal maps, which are essential for various applications in computer vision, graphics, and image processing. Normal maps are used to add detail to surfaces or to simulate complex lighting effects, making StableNormal a versatile tool for both professionals and enthusiasts.

Features

• High-Quality Normal Maps: Generates precise and detailed normal maps from images and video frames.
• Support for Multiple Formats: Works seamlessly with popular image and video formats.
• User-Friendly Interface: Intuitive design for easy navigation and customization.
• Batch Processing: Process multiple files simultaneously to save time.
• Real-Time Preview: Preview normal maps before exporting.
• Customizable Settings: Adjust parameters to achieve desired results.
• Cross-Platform Compatibility: Available on Windows, macOS, and Linux.

How to use StableNormal ?

  1. Install the Application: Download and install StableNormal from the official website.
  2. Import Media: Open the application and import your image or video file.
  3. Adjust Settings: Customize parameters such as resolution, smoothing, and detail levels.
  4. Generate Normals: Click the "Compute Normals" button to process the file.
  5. Preview Results: Review the generated normal map using the built-in preview tool.
  6. Export Results: Save the normal map in your preferred format.

Frequently Asked Questions

What file formats does StableNormal support?
StableNormal supports common image formats like PNG, JPG, and BMP, as well as video formats such as MP4, AVI, and MOV.

Can I process multiple files at once?
Yes, StableNormal offers batch processing, allowing you to compute normals for multiple files simultaneously.

How do I customize the output settings?
You can adjust settings like resolution, smoothing, and detail levels in the "Settings" menu before computing the normal maps.