Dataset · Hugging Face

FaizPalwala/SFHQ-VirtualID-Raw

Name: SFHQ-VirtualID-Raw
Creator: FaizPalwala
License: other
Keywords: task_categories:image-classification, task_categories:image-to-image, language:en, license:other, size_categories:10K<n<100K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, machine-unlearning, synthetic-faces, identity-conditioned, face-generation, portraits

SFHQ-VirtualID-Raw Dataset Card Summary SFHQ-VirtualID-Raw is a synthetic, identity-conditioned portrait dataset of 750 synthetic identities — 75,000 full-resolution 1024×1024 portraits (100 per identity). It is the max-size reference companion to the SFHQ-VirtualID-Bench benchmark: no splits, no quality trim, no forget protocol. Consumers construct their own train/holdout partitions. The dataset is generated with InstantID + Juggernaut-XL-v9 + ControlNet from… See the full description on the dataset page: https://huggingface.co/datasets/FaizPalwala/SFHQ-VirtualID-Raw.

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Author / organization	FaizPalwala
License (as declared)	other
Downloads	351 (as reported by Hugging Face)
Likes	0
Created	15 August 2026
Last updated at source	21 August 2026

machine-unlearningsynthetic-facesidentity-conditionedface-generationportraits

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