相关数据集
Face Studio
Face Generation: use AI to dynamically generate high-resolution, photo-realistic pictures of faces based on demographic input including gender, age, and ethnicity. Test the interactive version here: h
RapidAPI2023-07-25 更新240
bitmind/celeb-a-hq___15000-to-19999___FLUX.1-dev
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 440022240.0 num_examples: 5000 download_size: 440187959 dataset_size: 440022240.0 config
Hugging Face2024-08-26 更新70
DiffSynFace: A Demographically (Age, Gender and Ethnicity) Diverse Synthetic Face Dataset
The DiffSynFace is a large-scale synthetic face dataset, consists of 40k+ hyper-realistic synthetic face images. It leverages seven state-of-the-art diffusion-based text-to-image models (Stable Diffus
IEEE50
bitmind/ffhq-256___23331-to-31107___RealVisXL_V4.0
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 786344478.563 num_examples: 7777 download_size: 796921718 dataset_size: 786344478.563 co
Hugging Face2024-11-08 更新110
bitmind/celeb-a-hq___20000-to-24999___FLUX.1-dev
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 440602900.0 num_examples: 5000 download_size: 444014587 dataset_size: 440602900.0 config
Hugging Face2024-08-26 更新60
