DreamBooth
Fine-tune AI image models to generate personalized avatars, characters, and objects based on your photos or concepts.
Founded: 2022
Organization: Google Research + Boston University
Country: United States
Website: dreambooth.github.io
Key Features
- Generate AI images of specific people, pets, or objects with high fidelity
- Upload 3–5 custom reference images to fine-tune generation
- Compatible with Stable Diffusion, Colab, and other open models
- Used for avatars, portraits, branded content, and digital art
Screenshot Preview

AI Output Example
“I trained DreamBooth on just five photos of my dog and it generated comic-book style superhero poses — this tool is magic for creators.”
Pricing
Open Source
Free for research and personal use (via Colab or local install)
API Integration
Available through services like Replicate, Astria, or Dreamlook
Pro Services
Custom fine-tuning hosted models starting at $15/project
Best For
Milestones & Recognition
- 🎨 Published by Google Research in 2022 as a breakthrough in identity-specific image generation
- 🐶 Used by thousands of creators to generate pet, family, or product-specific AI art
- 📸 Enabled dozens of avatar startups to offer personalized outputs