datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PortraitCraft
PortraitCraft
⚠️ This dataset is for non-commercial academic evaluation purposes only. Commercial use is strictly prohibited .
Overview
PortraitCraft is a benchmark dataset for portrait composition understanding and portrait composition generation. It is designed to support models in learning and evaluating composition quality in portrait images. The dataset focuses on images with humans as the main subjects and includes a wide range of scenarios… See the full description on the dataset page: https://huggingface.co/datasets/zijielou/PortraitCraft.Niji_1_Portrait-metaimproved-flux-prompts-photoreal-portrait
Photo Portrait Prompt Dataset for FLUX
Overview
This dataset contains a curated collection of prompts specifically designed for generating photo portraits using FLUX.1, an advanced text-to-image model. These prompts are crafted to produce high-quality, lifelike portraits by leveraging sophisticated prompting techniques and best practices.
Latest Version
Improved on October 3, 2024.
This version has undergone curation and improvement. What is new?
Cleaned up… See the full description on the dataset page: https://huggingface.co/datasets/k-mktr/improved-flux-prompts-photoreal-portrait.pexels-portrait
Pexels Portrait
This dataset was collected using the official Pexels API: https://www.pexels.com/api/
All fields returned by the API are recorded, except the source image URL. Only the original image URL is recorded, since other variants can be retrieved on-the-fly by modifying the URL parameters. The "alt" field can be used for simple text-to-image training/finetuning.
Image files are not provided. You need to download the image files by yourself. Example of downloading image… See the full description on the dataset page: https://huggingface.co/datasets/gaunernst/pexels-portrait.portrait_and_26_photosEach set includes 27 photos of people. Each person provided
two types of photos: one photo in profile (portrait_1),
and 26 photos from their life (photo_1, photo_2, …, photo_26).Genshin_Impact_Animagine_Xl_Portrait_FramePack_Rotate
name_mapping = {
'芭芭拉': 'BARBARA',
'柯莱': 'COLLEI',
'雷电将军': 'RAIDEN SHOGUN',
'云堇': 'YUN JIN',
'八重神子': 'YAE MIKO',
'妮露': 'NILOU',
'绮良良': 'KIRARA',
'砂糖': 'SUCROSE',
'珐露珊': 'FARUZAN',
'琳妮特': 'LYNETTE',
'纳西妲': 'NAHIDA',
'诺艾尔': 'NOELLE',
'凝光': 'NINGGUANG',
'鹿野院平藏': 'HEIZOU',
'琴': 'JEAN',
'枫原万叶': 'KAEDEHARA KAZUHA',
'芙宁娜': 'FURINA',
'艾尔海森': 'ALHAITHAM',
'甘雨': 'GANYU',
'凯亚': 'KAEYA',
'荒泷一斗': 'ARATAKI ITTO',
'优菈':… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin_Impact_Animagine_Xl_Portrait_FramePack_Rotate.rightrigs-presenter-portraitsRealistic-Face-Portrait-1024px
Realistic-Face-Portrait-1024px
Dataset Summary
Realistic-Face-Portrait-1024px is a high-resolution image dataset containing 6,712 realistic portrait images of male and female individuals. Each image is standardized to 1024×1024 pixels, making it suitable for tasks involving high-fidelity facial analysis, face generation, and image-to-image transformation tasks such as super-resolution or inpainting.
Dataset Structure
Split: train
Number of rows: 6,712… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Face-Portrait-1024px.touhou_portraitsGenshin-Impact-Portrait-with-Tags-Filtered-IID-Gender-SP
name_mapping = {
'芭芭拉': 'BARBARA',
'柯莱': 'COLLEI',
'雷电将军': 'RAIDEN SHOGUN',
'云堇': 'YUN JIN',
'八重神子': 'YAE MIKO',
'妮露': 'NILOU',
'绮良良': 'KIRARA',
'砂糖': 'SUCROSE',
'珐露珊': 'FARUZAN',
'琳妮特': 'LYNETTE',
'纳西妲': 'NAHIDA',
'诺艾尔': 'NOELLE',
'凝光': 'NINGGUANG',
'鹿野院平藏': 'HEIZOU',
'琴': 'JEAN',
'枫原万叶': 'KAEDEHARA KAZUHA',
'芙宁娜': 'FURINA',
'艾尔海森': 'ALHAITHAM',
'甘雨': 'GANYU',
'凯亚': 'KAEYA',
'荒泷一斗': 'ARATAKI ITTO',
'优菈':… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin-Impact-Portrait-with-Tags-Filtered-IID-Gender-SP.openart-portraits-classical
OpenArt — Portraits & the Classical Figure
openart-portraits-classical is the portraits classical subject collection of the OpenArt family
of open, public-domain art datasets: 28,011 works (13,868 paintings/illustrations · 13,970
photographed objects · 173 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
The human figure and portraiture across the full range of media — painted and drawn portraits alongside photographic… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-portraits-classical.openbrush-portraits
OpenBrush Portraits
Every portrait painting from OpenBrush-75K — across all artists, movements, and centuries.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 13,059 you actually want.
Why this subset
Portraits across the full historical range — Renaissance bust portraits, Baroque chiaroscuro, Rococo society, Romantic, Realist… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-portraits.portrait_2_avatar
🖼️ Portrait to Anime Style Tranfer Data
This dataset consists of paired human and corresponding anime-style images, accompanied by descriptive prompts. The human images are sourced from the CelebA dataset, and the anime-style counterparts were generated using a combination of state-of-the-art GAN architectures and diffusion models.
It is designed to support a wide range of tasks,
GAN research
Diffusion model fine-tuning
Model evaluation
Benchmarking for image-to-image and… See the full description on the dataset page: https://huggingface.co/datasets/murali1729S/portrait_2_avatar.synthetic-human-portrait-attributes
AI-generated potraits of people
It's not perfect, but could be useful for training for example hairstyle and color classification!
Includes 6 categories of labels:
6 ages: 'adult', 'elderly', 'mature', 'teenage', 'young', 'young_adult'
2 sexes: 'man', 'woman'
4 hair lengths: 'long', 'short', 'buzzcut', 'bald'
4 hair shapes: 'curly', 'straight', 'wavy', 'None' (for bald)
9 hair colors: 'black', 'blonde', 'platinum_blonde', 'brunette', 'ginger', 'multicolored', 'None' (for bald)
5… See the full description on the dataset page: https://huggingface.co/datasets/Zhincore/synthetic-human-portrait-attributes.Realistic-Portrait-Gender-1024px
Realistic-Portrait-Gender-1024px
Dataset Type: Image Classification
Task: Gender Classification (Female vs. Male Portraits)
Size: ~3,200 images
Image Resolution: 1024px x 1024px
License: Apache 2.0
Dataset Summary
The Realistic-Portrait-Gender-1024px dataset consists of high-resolution (1024px) realistic portraits labeled by perceived gender identity: female or male. It is designed for image classification tasks, particularly for training and evaluating gender… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Realistic-Portrait-Gender-1024px.zhangxian_1928_portrait_discovery_storm_society_modern_art_pioneer🖼️ Zhang Xian (1898–1936): The Lost 1928 Portrait and His Legacy in China's Modern Art Movement
Dataset title: zhangxian_1928_portrait_discovery_storm_society_modern_art_pioneer
Compiled by: HaruthaiAI (Hugging Face)
📄 Metadata JSON
Structured metadata file: zhangxian_portrait_metadata.jsonIncludes multi-layered context: discovery, attribution, movement, style, and linked documents.
📘 Overview (English)
This dataset documents a significant rediscovery: a 1928 portrait of Zhang… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/zhangxian_1928_portrait_discovery_storm_society_modern_art_pioneer.Flux-Generated-Super-Portrait
Flux-Generated-Super-Portrait
File Name
Size
Description
.gitattributes
2.46 kB
Rules for Git Large File Storage (LFS).
README.md
42 Bytes
Basic project description.
images/
-
Directory containing 20 portrait images.
Usage:
This project or dataset can be used for:
Artistic Inspiration:Gain insights into AI's capabilities in generating lifelike portraits.
AI Model Benchmarking:Evaluate the performance of image-generation models like Stable… See the full description on the dataset page: https://huggingface.co/datasets/strangerzonehf/Flux-Generated-Super-Portrait.gridiron-portraitsportraitscaricature-portraits-blip-captions-512
Dataset Card for "caricature-portraits-blip-captions-512"
The 2D Caricature Dataset from 3D-CariGAN cropped to 512x512 and blip captioned
@article{ye2021caricature,
author = {Ye, Zipeng and Xia, Mengfei and Sun, Yanan and Yi, Ran and Yu, Minjing and Zhang, Juyong and Lai, Yu-Kun and Liu, Yong-Jin},
title = {3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Normal Face Photos},
journal = {IEEE Transactions on Visualization and Computer Graphics},
year… See the full description on the dataset page: https://huggingface.co/datasets/Norod78/caricature-portraits-blip-captions-512.afri-portraits
afri-portraits
Head-and-shoulders portraits (512x640 PNG, transparent background) of African members of parliament and government officials.
17,750 portraits of 9,229 people across 54 African countries.
source_type = official_parliament_site (5,717), wikidata (2,447), web_search (9,586).
Person names and biographical fields (constituency, party, term, status) are intentionally not included in this release.
role_or_chamber for web_search rows comes from the CIA World Leaders… See the full description on the dataset page: https://huggingface.co/datasets/AfriSpeech/afri-portraits.touhou_portraits_moreMultilabel-Portrait-18K
Multilabel-Portrait-18K
Multilabel-Portrait-18K is a multi-label portrait classification dataset designed to analyze and categorize different styles of portrait images. It supports classification into the following four portrait types:
0 — Anime Portrait
1 — Cartoon Portrait
2 — Real Portrait
3 — Sketch Portrait
This dataset is ideal for training and evaluating machine learning models in the domain of portrait-style classification. The goal is to enable accurate recognition… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Multilabel-Portrait-18K.portraits_xs
Dataset Card for "portraits_xs"
More Information needed
r_portraitphotography-gemini-2.0-flash-thinking-exp-1219-CustomShareGPTGenshin_Impact_Animagine_Xl_Portrait_FramePack_Rotate_Named
name_mapping = {
'芭芭拉': 'BARBARA',
'柯莱': 'COLLEI',
'雷电将军': 'RAIDEN SHOGUN',
'云堇': 'YUN JIN',
'八重神子': 'YAE MIKO',
'妮露': 'NILOU',
'绮良良': 'KIRARA',
'砂糖': 'SUCROSE',
'珐露珊': 'FARUZAN',
'琳妮特': 'LYNETTE',
'纳西妲': 'NAHIDA',
'诺艾尔': 'NOELLE',
'凝光': 'NINGGUANG',
'鹿野院平藏': 'HEIZOU',
'琴': 'JEAN',
'枫原万叶': 'KAEDEHARA KAZUHA',
'芙宁娜': 'FURINA',
'艾尔海森': 'ALHAITHAM',
'甘雨': 'GANYU',
'凯亚': 'KAEYA',
'荒泷一斗': 'ARATAKI ITTO',
'优菈':… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Genshin_Impact_Animagine_Xl_Portrait_FramePack_Rotate_Named.my-ai-portraitsportraits-512
Dataset Card for "portraits-512"
More Information needed
flux-dev-portrait
FLUX-dev portrait
This dataset is generated with FLUX.1-dev using default settings (guidance scale = 3.5, 50 steps) at 1024x1024 resolution. The prompts are taken from k-mktr/improved-flux-prompts-photoreal-portrait. The images are converted to uint8 and encoded with lossless WEBP, and packed in WebDataset format.
This can be used for distillation to another model or self-distillation when training new capabilities for FLUX.
Currently the generated faces are not diverse. Future… See the full description on the dataset page: https://huggingface.co/datasets/gaunernst/flux-dev-portrait.portrait_midjourney_sample