Wardrobe is a local wardrobe organizer that uses OpenAI image models to extract and present clothing from personal photos. It detects garments in imported images, creates clean product-style cutouts, and can generate modeled editorial previews using a reference photo. The web interface supports drag-and-drop, paste, editing, review, regeneration, and approval of generated results. Original images, processed assets, job data, and the JSON clothing library remain in a local data directory. Two bundled Codex skills automate clothing import and generate styled outfit collections from items already in the wardrobe. Users can run the workflow through Codex or the web interface. The project requires an OpenAI API key for AI processing and allows model and data locations to be configured.

Features

  • AI-powered garment detection
  • Clean product-style clothing extraction
  • Modeled editorial preview generation
  • Local JSON wardrobe and asset storage
  • Codex clothing import and outfit skills
  • Drag-and-drop review and regeneration workflow

Project Samples

Wardrobe Screenshot 1

Project Activity

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Categories

AI Models

License

MIT License

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Wardrobe Web Site

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Additional Project Details

Programming Language

JavaScript

Related Categories

JavaScript AI Models

Registered

6 days ago
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