A large-scale, high-performance curated dataset of ~330,000 (330K) high-quality anime illustrations designed for training Diffusion Transformers (DiT), Latent Diffusion Models (LDM), and text-to-image generative models focused on the anime domain.
This dataset is focused on specific curated characters and high-ranking artists using knowledge base lists (characters_list.txt and artists_list.txt). Prompt sequence lengths and bucket tiers (77… See the full description on the dataset page:
https://huggingface.co/datasets/aipracticecafe/curated-danbooru-2026.
