CyberHarem/ganyu_genshin

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

# Dataset of ganyu/甘雨/甘雨 (Genshin Impact)

This is the dataset of ganyu/甘雨/甘雨 (Genshin Impact), containing 500 images and their tags.

The core tags of this character are `blue_hair, long_hair, horns, ahoge, breasts, purple_eyes, goat_horns, sidelocks, medium_breasts, large_breasts, very_long_hair`, 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 | Images-others | Images-head |
|:-----------------|---------:|:---------|:---------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:----------------|:--------------|
| raw | 500 | 1.31 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ganyu_genshin/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1413 | 2.15 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ganyu_genshin/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 938 | 475 |

### 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/ganyu_genshin',
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 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_gloves, blush, bodystocking, detached_sleeves, gold_trim, hair_between_eyes, long_sleeves, looking_at_viewer, neck_bell, pantyhose, sitting, solo, white_sleeves, cowbell, simple_background, white_background, flower_knot, vision_(genshin_impact), armpits, bow, smile, thighs |
| 1 | 15 |  |  |  |  |  | 1girl, bare_shoulders, bodystocking, detached_sleeves, gold_trim, long_sleeves, looking_at_viewer, neck_bell, solo, tassel, thighs, white_sleeves, black_gloves, blush, standing, vision_(genshin_impact), flower_knot, groin, leotard_under_clothes, thighlet, black_leotard, cowbell, chinese_knot, cowboy_shot, parted_lips, covered_navel, black_pantyhose, white_background, armpits, brown_pantyhose, simple_background, pelvic_curtain_lift |
| 2 | 10 |  |  |  |  |  | 1girl, bare_shoulders, black_gloves, bodystocking, chinese_knot, detached_sleeves, flower_knot, gold_trim, looking_at_viewer, neck_bell, solo, tassel, thighlet, vision_(genshin_impact), white_sleeves, blush, orb, smile, black_pantyhose, high_heels, long_sleeves, standing, full_body, white_background |
| 3 | 8 |  |  |  |  |  | 1girl, bare_shoulders, blush, from_behind, solo, backless_outfit, black_leotard, black_pantyhose, bodystocking, detached_sleeves, leotard_under_clothes, looking_at_viewer, looking_back, black_gloves, simple_background, thighlet, white_background, white_sleeves, cowboy_shot, long_sleeves, sideboob, low_ponytail, standing, thighs, backless_leotard, gold_trim, tassel |
| 4 | 7 |  |  |  |  |  | 1girl, alternate_costume, blush, looking_at_viewer, solo, bare_shoulders, china_dress, pelvic_curtain, thighs, black_thighhighs, cleavage_cutout, closed_mouth, white_dress, covered_navel, hair_between_eyes, sleeveless_dress, white_background, white_gloves |
| 5 | 8 |  |  |  |  |  | 1girl, alternate_costume, looking_at_viewer, solo, white_dress, bare_shoulders, white_flower, closed_mouth, smile, blush, hair_between_eyes, hair_flower, bare_arms, cleavage, cowboy_shot, sleeveless |
| 6 | 10 |  |  |  |  |  | 1girl, bare_shoulders, blue_sky, blush, day, looking_at_viewer, outdoors, solo, cloud, navel, ocean, thighs, wet, bare_arms, cleavage, stomach, alternate_costume, beach, bell, collarbone, black_bikini, cowboy_shot, parted_lips, standing, water, low_ponytail, string_bikini, white_bikini |
| 7 | 6 |  |  |  |  |  | 1girl, bare_shoulders, blush, looking_at_viewer, solo, ass, competition_swimsuit, thighs, bare_arms, black_one-piece_swimsuit, water, wet, closed_mouth, highleg_swimsuit, pool, sitting |
| 8 | 9 |  |  |  |  |  | 1girl, enmaided, looking_at_viewer, maid_apron, solo, blush, frills, cleavage, maid_headdress, neck_bell, black_dress, white_apron, bow, cowbell, holding_tray, puffy_sleeves, short_sleeves, thighhighs |
| 9 | 6 |  |  |  |  |  | 1girl, bare_shoulders, blush, covered_navel, cowboy_shot, detached_collar, looking_at_viewer, playboy_bunny, solo, wrist_cuffs, alternate_costume, cleavage, fake_animal_ears, rabbit_ears, smile, strapless_leotard, bowtie, neck_bell, pantyhose, thighs, rabbit_tail, white_leotard |
| 10 | 8 |  |  |  |  |  | 1girl, alternate_costume, looking_at_viewer, pleated_skirt, solo, black_thighhighs, blush, white_shirt, zettai_ryouiki, black_skirt, closed_mouth, long_sleeves, standing, white_background, bowtie, collared_shirt, cowboy_shot, hair_between_eyes, neckerchief, sailor_collar, serafuku, simple_background, blue_skirt, from_side, shirt_tucked_in, short_sleeves, thighs |
| 11 | 15 |  |  |  |  |  | 1girl, alternate_costume, blush, office_lady, pencil_skirt, white_shirt, looking_at_viewer, solo, black_pantyhose, black_skirt, contemporary, cleavage, id_card, long_sleeves, collared_shirt, lanyard, black_bra, indoors, sitting, thighs, choker, collarbone, paper, gradient_eyes, hair_between_eyes, holding, miniskirt, open_mouth, shirt_tucked_in |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | black_gloves | blush | bodystocking | detached_sleeves | gold_trim | hair_between_eyes | long_sleeves | looking_at_viewer | neck_bell | pantyhose | sitting | solo | white_sleeves | cowbell | simple_background | white_background | flower_knot | vision_(genshin_impact) | armpits | bow | smile | thighs | tassel | standing | groin | leotard_under_clothes | thighlet | black_leotard | chinese_knot | cowboy_shot | parted_lips | covered_navel | black_pantyhose | brown_pantyhose | pelvic_curtain_lift | orb | high_heels | full_body | from_behind | backless_outfit | looking_back | sideboob | low_ponytail | backless_leotard | alternate_costume | china_dress | pelvic_curtain | black_thighhighs | cleavage_cutout | closed_mouth | white_dress | sleeveless_dress | white_gloves | white_flower | hair_flower | bare_arms | cleavage | sleeveless | blue_sky | day | outdoors | cloud | navel | ocean | wet | stomach | beach | bell | collarbone | black_bikini | water | string_bikini | white_bikini | ass | competition_swimsuit | black_one-piece_swimsuit | highleg_swimsuit | pool | enmaided | maid_apron | frills | maid_headdress | black_dress | white_apron | holding_tray | puffy_sleeves | short_sleeves | thighhighs | detached_collar | playboy_bunny | wrist_cuffs | fake_animal_ears | rabbit_ears | strapless_leotard | bowtie | rabbit_tail | white_leotard | pleated_skirt | white_shirt | zettai_ryouiki | black_skirt | collared_shirt | neckerchief | sailor_collar | serafuku | blue_skirt | from_side | shirt_tucked_in | office_lady | pencil_skirt | contemporary | id_card | lanyard | black_bra | indoors | choker | paper | gradient_eyes | holding | miniskirt | open_mouth |
|----:|----------:|:--------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------|:--------|:-----------------|:---------------|:--------|:---------------|:-------------------|:------------|:--------------------|:---------------|:--------------------|:------------|:------------|:----------|:-------|:----------------|:----------|:--------------------|:-------------------|:--------------|:--------------------------|:----------|:------|:--------|:---------|:---------|:-----------|:--------|:------------------------|:-----------|:----------------|:---------------|:--------------|:--------------|:----------------|:------------------|:------------------|:----------------------|:------|:-------------|:------------|:--------------|:------------------|:---------------|:-----------|:---------------|:-------------------|:--------------------|:--------------|:-----------------|:-------------------|:------------------|:---------------|:--------------|:-------------------|:---------------|:---------------|:--------------|:------------|:-----------|:-------------|:-----------|:------|:-----------|:--------|:--------|:--------|:------|:----------|:--------|:-------|:-------------|:---------------|:--------|:----------------|:---------------|:------|:-----------------------|:---------------------------|:-------------------|:-------|:-----------|:-------------|:---------|:-----------------|:--------------|:--------------|:---------------|:----------------|:----------------|:-------------|:------------------|:----------------|:--------------|:-------------------|:--------------|:--------------------|:---------|:--------------|:----------------|:----------------|:--------------|:-----------------|:--------------|:-----------------|:--------------|:----------------|:-----------|:-------------|:------------|:------------------|:--------------|:---------------|:---------------|:----------|:----------|:------------|:----------|:---------|:--------|:----------------|:----------|:------------|:-------------|
| 0 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 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 | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 10 |  |  |  |  |  | X | X | X | X | X | X | X | | X | X | X | | | X | X | | | X | X | X | | | X | | X | X | | | X | | X | | | | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 8 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 7 |  |  |  |  |  | X | X | | X | | | | X | | X | | | | X | | | | X | | | | | | X | | | | | | | | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 8 |  |  |  |  |  | X | X | | X | | | | X | | X | | | | X | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | X | X | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 10 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 6 |  |  |  |  |  | X | X | | X | | | | | | X | | | X | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | | | | | | | | X | | | | | | X | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 9 |  |  |  |  |  | X | | | X | | | | | | X | X | | | X | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 6 |  |  |  |  |  | X | X | | X | | | | | | X | X | X | | X | | | | | | | | | X | X | | | | | | | | X | | X | | | | | | | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 8 |  |  |  |  |  | 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 | | | | | | | | | | | | | |
| 11 | 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：ganyu/甘雨/甘雨 (Genshin Impact)

数据集基本信息

• 许可证: MIT
• 任务类别: 文本到图像
• 标签: 艺术, 不适用于所有观众
• 大小类别: 小于1K

数据集内容

• 描述: 包含500张图像及其标签，主要标签包括blue_hair, long_hair, horns, ahoge, breasts, purple_eyes, goat_horns, sidelocks, medium_breasts, large_breasts, very_long_hair。
• 图像来源: 从多个网站爬取，如danbooru, pixiv, zerochan等，由DeepGHS Team提供自动爬虫系统。

数据集包

原始数据包

• 名称: raw
• 图像数量: 500
• 大小: 1.31 GiB
• 类型: Waifuc-Raw
• 描述: 包含元信息的原始数据，最小边对齐到1400像素（如果更大）。

处理后数据包

• 名称: stage3-p480-1200
• 图像数量: 1413
• 大小: 2.15 GiB
• 类型: IMG+TXT
• 描述: 三阶段裁剪数据集，区域不小于480x480像素。

数据集使用

• 加载工具: 使用waifuc加载原始数据集。
• 示例代码: 提供Python代码用于下载和解压数据集，并通过waifuc加载。

数据集集群

• 集群列表: 提供标签聚类结果，可能包含可挖掘的服装信息。
• 集群详情: 每个集群包含多个样本图像及其详细标签描述。