sidd707/jewelry-design-dataset

💎 Jewelry Text-to-Image Fine-Tuning Dataset

This dataset is created for fine-tuning Stable Diffusion XL (SDXL) models to generate realistic and diverse images of jewelry — including rings, bracelets, necklaces, and earrings.

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📦 Dataset Summary

The dataset includes over 6,100 high-resolution images of jewelry, organized into four categories. It was collected from various sources and manually curated. Each image is associated with a simple or structured caption describing the type of jewelry for text-to-image fine-tuning.

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📁 Structure

jewelry-sdxl-dataset/:
  - bracelet/               # 888 images
  - earring_best/           # 3,298 images
  - necklace/               # 1,738 images
  - ring_best/              # 233 images
  - captions.csv or .txt    # (Optional) image-to-text mapping for training

You can convert folder names into prompts like:

• a high quality photo of a gold bracelet
• a stylish diamond ring on white background

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🧠 Intended Uses

• Fine-tuning Stable Diffusion XL for jewelry generation
• Fashion product mockups & concept design
• E-commerce image augmentation
• AI-generated advertising material
• Generative research in domain-specific design

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🧪 Example Prompts

You can use this dataset with --train_text_encoder and prompts like:

• a luxury diamond ring on a black velvet
• a pair of gold earrings with pearls
• a necklace with a heart-shaped pendant

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🔓 License

This dataset is available under the MIT License. You are free to use it in research, commercial, and open-source projects with attribution.

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📬 Creator

Siddharth Patel (@sidd707)
Built for generative AI research and diffusion model fine-tuning.
Contact: [email protected]