google/dreambooth resource

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1029 stars · 97 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official dataset accompanying the Google DreamBooth paper on fine-tuning text-to-image diffusion models for subject-driven generation. It contains 4-6 images each for 30 subjects (9 live animals, 21 objects) captured across varied conditions, plus prompts and class names used in the paper.

Use cases

• evaluate subject-driven image generation models
• fine-tune text-to-image diffusion models on a small set of subject photos
• benchmark personalization methods for generative image models
• research few-shot image generation of specific subjects
• compare novel view synthesis of objects and pets
• reproduce DreamBooth paper experiments

When to choose

• you need a standard benchmark for subject-driven generation research
• you want to reproduce or compare against the DreamBooth paper
• you need small multi-view image sets of known subjects with prompts and licenses

When to avoid

• you need large-scale training data for training diffusion models from scratch
• you need a software implementation of DreamBooth rather than the dataset
• you need commercially unrestricted imagery beyond the CC-BY-4.0 and Unsplash licenses

Facets

dataset · maturity stable

machine-learning image-processing machine-learning image-processing computer-vision cross-platform dreambooth diffusion-models text-to-image subject-driven-generation fine-tuning research-dataset

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/dreambooth")