Data as of Sep 29, 2026 · Based on 454 AI responses · See how Parse measures this
SFHQ-T2I is a synthetic face image dataset consisting of 122,726 high-quality 1024×1024 portraits generated by prompting multiple text-to-image models (Flux1.pro, Flux1.dev, Flux1.schnell, SDXL, DALL-E 3). Each image is paired with the prompts used to generate it, enabling controlled research in text-to-image synthesis, face analysis, and related ML tasks while offering wide variation across attributes and backgrounds and avoiding privacy concerns. The repository provides scripts to generate, explore, and extract features from the dataset (e.g., create_face_dataset.py, explore_dataset.py, extract_pretrained_features.py) and links for download via Kaggle.
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of AI answers about SFHQ-T2I Dataset and its rivals. Week of Sep 21
AI mentioned SFHQ-T2I Dataset in 0% of answers about SFHQ-T2I Dataset and its rivals in the week of Sep 21.
