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personalized-generation

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This repository provides a minimal yet flexible implementation of DreamBooth for subject-driven text-to-image generation. It supports multiple fine-tuning modes (UNet-only, UNet + full text encoder, and UNet + Textual Inversion), making it easy to experiment with different personalization strategies across rigid objects, animals, and human faces.

  • Updated Dec 20, 2025
  • Python

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