littlestronomer/umamusume

Safebooru Anime Dataset

This dataset contains 389 curated anime-style images from Safebooru with descriptive captions, prepared for fine-tuning text-to-image models like Stable Diffusion and FLUX.

Dataset Structure

Each example in the dataset contains:

• image: The anime artwork image
• text: Descriptive caption/tags for the image
• file_name: The filename of the image
• original_post_id: Original Safebooru post ID
• original_filename: Original filename from Safebooru

Usage

Loading the Dataset

from datasets import load_dataset

# Load from HuggingFace Hub
dataset = load_dataset("your-username/your-dataset-name")

# Access images and captions
for example in dataset['train']:
    image = example['image']  # PIL Image
    caption = example['text']  # String caption
    print(f"Caption: {caption}")
    image.show()
    break

For Fine-tuning

This dataset is formatted for fine-tuning text-to-image models:

from datasets import load_dataset
from transformers import pipeline

dataset = load_dataset("your-username/your-dataset-name")

# Use with your training script
train_dataset = dataset['train']

For FLUX LoRA Training

Compatible with the FLUX QLora training notebook: https://huggingface.co/blog/flux-qlora

Dataset Statistics

• Total images: 389
• Image formats: JPG, PNG
• Caption style: Booru-style tags in comma-separated format
• Average caption length: ~50-100 tokens

Data Preprocessing

Images were:

1. Downloaded from Safebooru with safe content filters
2. Resized to maintain quality while being training-friendly
3. Paired with descriptive captions converted from booru tags

License

MIT License - See individual image metadata for specific attribution requirements.

Citation

If you use this dataset, please cite:

@dataset{safebooru_anime_dataset,
  title={Safebooru Anime Dataset},
  author={Your Name},
  year={2024},
  publisher={HuggingFace}
}