image-attribution
ImageAttributionBenchffhq-image-attribution
FFHQ Image Attribution
A public benchmark for FFHQ model attribution, built from twelve face generators spanning GAN, VAE, and diffusion families.
Version v2 includes 10,000 images from each of 12 FFHQ-trained generators for a total of 120,000 images.
Why this dataset
Same image domain across multiple FFHQ generators makes source attribution cleaner and easier to study.
Public metadata links each image to its source model, family, release, seed, and file integrity… See the full description on the dataset page: https://huggingface.co/datasets/kaikaiyao/ffhq-image-attribution.sd-image-attribution
SD Image Attribution
A public benchmark for image attribution across Stable Diffusion families, built from six models and three prompt datasets.
Version v1 includes PartiPrompts (1,632 prompts), DrawBench (200 prompts), DiffusionDB sample_10k (10,000 prompts), 6 models, and 70,992 generated images.
Why this dataset
Same prompt sources across multiple Stable Diffusion families make model-level comparisons cleaner and more controlled.
Public metadata links each… See the full description on the dataset page: https://huggingface.co/datasets/kaikaiyao/sd-image-attribution.image_to_model_attribution