CyberHarem/leonardo_da_vinci_fgo

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of leonardo_da_vinci/レオナルド・ダ・ヴィンチ/莱昂纳多·达·芬奇 (Fate/Grand Order)

This is the dataset of leonardo_da_vinci/レオナルド・ダ・ヴィンチ/莱昂纳多·达·芬奇 (Fate/Grand Order), containing 500 images and their tags.

The core tags of this character are `long_hair, brown_hair, blue_eyes, parted_bangs, breasts, small_breasts`, which are pruned in this dataset.

Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).

## List of Packages

| Name | Images | Size | Download | Type | Description |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 694.69 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leonardo_da_vinci_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 500 | 608.46 MiB | [Download](https://huggingface.co/datasets/CyberHarem/leonardo_da_vinci_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1173 | 1.14 GiB | [Download](https://huggingface.co/datasets/CyberHarem/leonardo_da_vinci_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |

### Load Raw Dataset with Waifuc

We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code

```python
import os
import zipfile

from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource

# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/leonardo_da_vinci_fgo',
repo_type='dataset',
filename='dataset-raw.zip',
)

# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)

# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```

## List of Clusters

List of tag clustering result, maybe some outfits can be mined here.

### Raw Text Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 7 |  |  |  |  |  | 1girl, bare_shoulders, fake_animal_ears, forehead, rabbit_ears, smile, solo, blush, large_breasts, looking_at_viewer, playboy_bunny, cleavage, detached_collar, thighs, covered_navel, open_mouth, red_leotard, blue_pantyhose, bowtie, detached_sleeves, strapless_leotard, wrist_cuffs |
| 1 | 9 |  |  |  |  |  | 1girl, looking_at_viewer, solo, bare_shoulders, bikini, cleavage, large_breasts, smile, collarbone, blush, jewelry, navel, simple_background, white_background, forehead, upper_body |
| 2 | 16 |  |  |  |  |  | 1girl, blush, looking_at_viewer, nipples, solo, collarbone, smile, forehead, navel, completely_nude, open_mouth, on_back, petite, pussy, thighs, dakimakura_(medium), large_breasts, cleft_of_venus, closed_mouth |
| 3 | 20 |  |  |  |  |  | 1girl, forehead, red_ribbon, sidelocks, blue_shorts, blush, collarbone, goggles, hair_ribbon, short_shorts, twintails, necklace, puffy_short_sleeves, red_bikini, shrug_(clothing), smile, thighs, looking_at_viewer, solo, brown_gloves, fingerless_gloves, navel, bikini_top_only, open_mouth, blue_sky |
| 4 | 9 |  |  |  |  |  | 1boy, 1girl, blush, completely_nude, cowgirl_position, girl_on_top, hetero, navel, nipples, solo_focus, collarbone, forehead, large_breasts, looking_at_viewer, sex, vaginal, smile, censored, penis, pov, thighs, cum_in_pussy, open_mouth, spread_legs |
| 5 | 6 |  |  |  |  |  | 1boy, 1girl, blush, completely_nude, forehead, hetero, looking_at_viewer, petite, collarbone, mixed-sex_bathing, nipples, open_mouth, penis, thighs, wet, navel, onsen, shared_bathing, smile, solo_focus, spread_legs, anus, censored, cum_in_pussy, ejaculation, erection, ponytail |
| 6 | 6 |  |  |  |  |  | 1girl, blush, completely_nude, forehead, hetero, nipples, 1boy, all_fours, doggystyle, large_breasts, open_mouth, sex_from_behind, smile, vaginal, sweat, thighs, ass, closed_eyes |
| 7 | 5 |  |  |  |  |  | 1girl, blue_gloves, brown_dress, looking_at_viewer, puffy_short_sleeves, simple_background, smile, solo, white_background, elbow_gloves, large_breasts, puff_and_slash_sleeves, upper_body, blush, forehead, holding |
| 8 | 5 |  |  |  |  |  | 1girl, blue_gloves, elbow_gloves, looking_at_viewer, puffy_short_sleeves, smile, solo, upper_body, cape, brown_dress, closed_mouth, large_breasts, puff_and_slash_sleeves |
| 9 | 7 |  |  |  |  |  | 1girl, blue_gloves, elbow_gloves, looking_at_viewer, puffy_short_sleeves, red_skirt, smile, solo, blue_thighhighs, cape, puff_and_slash_sleeves, brown_dress |
| 10 | 13 |  |  |  |  |  | 1girl, blue_gloves, elbow_gloves, red_skirt, blue_thighhighs, solo, large_breasts, looking_at_viewer, puffy_short_sleeves, smile, dress, pleated_skirt, puff_and_slash_sleeves, forehead, single_gauntlet, cape, closed_mouth, blush, zettai_ryouiki |
| 11 | 5 |  |  |  |  |  | 1girl, black_bow, blue_gloves, elbow_gloves, forehead, hair_bow, looking_at_viewer, puffy_short_sleeves, red_skirt, solo, blue_bow, blush, dress, ponytail, puff_and_slash_sleeves, single_gauntlet, smile, holding_staff, simple_background, white_background, blue_pantyhose, closed_mouth |
| 12 | 7 |  |  |  |  |  | 1girl, black_thighhighs, blush, forehead, hair_bow, looking_at_viewer, maid_headdress, puffy_short_sleeves, solo, white_apron, black_bow, black_dress, ponytail, white_background, backpack, simple_background, bowtie, grin, puff_and_slash_sleeves, roller_skates |
| 13 | 5 |  |  |  |  |  | 1girl, blush, forehead, looking_at_viewer, maid_headdress, on_back, open_mouth, ponytail, puffy_short_sleeves, solo, thighs, white_apron, black_bow, black_dress, black_panties, dakimakura_(medium), hair_bow, alternate_costume, black_thighhighs, nipples, petite, smile, collarbone, frills, pussy, white_bow |
| 14 | 15 |  |  |  |  |  | 1girl, looking_at_viewer, puffy_short_sleeves, brown_shirt, ponytail, red_skirt, solo, black_bow, blush, forehead, hair_bow, puff_and_slash_sleeves, smile, blue_neckerchief, headphones, backpack, petite, pleated_skirt, open_mouth, white_sailor_collar, clothes_lift, thighs, ass, bike_shorts_under_skirt, black_shorts, elbow_pads, knee_pads, looking_back, pussy |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | fake_animal_ears | forehead | rabbit_ears | smile | solo | blush | large_breasts | looking_at_viewer | playboy_bunny | cleavage | detached_collar | thighs | covered_navel | open_mouth | red_leotard | blue_pantyhose | bowtie | detached_sleeves | strapless_leotard | wrist_cuffs | bikini | collarbone | jewelry | navel | simple_background | white_background | upper_body | nipples | completely_nude | on_back | petite | pussy | dakimakura_(medium) | cleft_of_venus | closed_mouth | red_ribbon | sidelocks | blue_shorts | goggles | hair_ribbon | short_shorts | twintails | necklace | puffy_short_sleeves | red_bikini | shrug_(clothing) | brown_gloves | fingerless_gloves | bikini_top_only | blue_sky | 1boy | cowgirl_position | girl_on_top | hetero | solo_focus | sex | vaginal | censored | penis | pov | cum_in_pussy | spread_legs | mixed-sex_bathing | wet | onsen | shared_bathing | anus | ejaculation | erection | ponytail | all_fours | doggystyle | sex_from_behind | sweat | ass | closed_eyes | blue_gloves | brown_dress | elbow_gloves | puff_and_slash_sleeves | holding | cape | red_skirt | blue_thighhighs | dress | pleated_skirt | single_gauntlet | zettai_ryouiki | black_bow | hair_bow | blue_bow | holding_staff | black_thighhighs | maid_headdress | white_apron | black_dress | backpack | grin | roller_skates | black_panties | alternate_costume | frills | white_bow | brown_shirt | blue_neckerchief | headphones | white_sailor_collar | clothes_lift | bike_shorts_under_skirt | black_shorts | elbow_pads | knee_pads | looking_back |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:-------------------|:-----------|:--------------|:--------|:-------|:--------|:----------------|:--------------------|:----------------|:-----------|:------------------|:---------|:----------------|:-------------|:--------------|:-----------------|:---------|:-------------------|:--------------------|:--------------|:---------|:-------------|:----------|:--------|:--------------------|:-------------------|:-------------|:----------|:------------------|:----------|:---------|:--------|:----------------------|:-----------------|:---------------|:-------------|:------------|:--------------|:----------|:--------------|:---------------|:------------|:-----------|:----------------------|:-------------|:-------------------|:---------------|:--------------------|:------------------|:-----------|:-------|:-------------------|:--------------|:---------|:-------------|:------|:----------|:-----------|:--------|:------|:---------------|:--------------|:--------------------|:------|:--------|:-----------------|:-------|:--------------|:-----------|:-----------|:------------|:-------------|:------------------|:--------|:------|:--------------|:--------------|:--------------|:---------------|:-------------------------|:----------|:-------|:------------|:------------------|:--------|:----------------|:------------------|:-----------------|:------------|:-----------|:-----------|:----------------|:-------------------|:-----------------|:--------------|:--------------|:-----------|:-------|:----------------|:----------------|:--------------------|:---------|:------------|:--------------|:-------------------|:-------------|:----------------------|:---------------|:--------------------------|:---------------|:-------------|:------------|:---------------|
| 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | | X | | X | X | X | X | X | | X | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 16 |  |  |  |  |  | X | | | X | | X | X | X | X | X | | | | X | | X | | | | | | | | X | | X | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 20 |  |  |  |  |  | X | | | X | | X | X | X | | X | | | | X | | X | | | | | | | | X | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | | | X | | X | | X | X | X | | | | X | | X | | | | | | | | X | | X | | | | X | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 6 |  |  |  |  |  | X | | | X | | X | | X | | X | | | | X | | X | | | | | | | | X | | X | | | | X | X | | X | | | | | | | | | | | | | | | | | | | | X | | | X | X | | | X | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | | | X | | X | | X | X | | | | | X | | X | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | X | | | X | | | X | | | | | | | | | | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 5 |  |  |  |  |  | X | | | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 5 |  |  |  |  |  | X | | | | | X | X | | X | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | | | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 13 |  |  |  |  |  | X | | | X | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | |
| 11 | 5 |  |  |  |  |  | X | | | X | | X | X | X | | X | | | | | | | | X | | | | | | | | | X | X | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | X | | X | X | | | X | | X | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
| 12 | 7 |  |  |  |  |  | X | | | X | | | X | X | | X | | | | | | | | | X | | | | | | | | X | X | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | X | | | | | | | | | X | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
| 13 | 5 |  |  |  |  |  | X | | | X | | X | X | X | | X | | | | X | | X | | | | | | | | X | | | | | | X | | X | X | X | X | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | | | X | X | X | X | | | | X | X | X | X | | | | | | | | | | |
| 14 | 15 |  |  |  |  |  | X | | | X | | X | X | X | | X | | | | X | | X | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | X | | | X | | | X | | | X | X | | | | | | | X | | | | | | | X | X | X | X | X | X | X | X | X | X |

原始信息汇总

数据集概述

数据集基本信息

• 名称: leonardo_da_vinci/レオナルド・ダ・ヴィンチ/莱昂纳多·达·芬奇 (Fate/Grand Order)
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集内容

• 包含: 500张图像及其标签
• 核心标签: long_hair, brown_hair, blue_eyes, parted_bangs, breasts, small_breasts

数据集结构

数据包列表

名称	图像数量	大小	下载链接	类型	描述
raw	500	694.69 MiB	下载链接	Waifuc-Raw	包含元信息的原始数据（最小边对齐到1400像素）
1200	500	608.46 MiB	下载链接	IMG+TXT	短边不超过1200像素的数据集
stage3-p480-1200	1173	1.14 GiB	下载链接	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素

数据集加载

• 加载工具: waifuc

• 加载示例: python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

  下载并解压数据集

  zip_file = hf_hub_download( repo_id=CyberHarem/leonardo_da_vinci_fgo, repo_type=dataset, filename=dataset-raw.zip, ) dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

  使用waifuc加载数据集

  source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

数据集标签集群

• 集群列表: 提供了标签集群的结果，可能包含可挖掘的服装信息。
• 集群示例: 每个集群包含多个样本图像及其详细标签，例如集群0包含7个样本，每个样本都有详细的标签描述。