CyberHarem/noelle_genshin

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

# Dataset of noelle/ノエル/诺艾尔 (Genshin Impact)

This is the dataset of noelle/ノエル/诺艾尔 (Genshin Impact), containing 500 images and their tags.

The core tags of this character are `grey_hair, green_eyes, breasts, braid, large_breasts, short_hair, wavy_hair, medium_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 | 1.02 GiB | [Download](https://huggingface.co/datasets/CyberHarem/noelle_genshin/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1324 | 1.74 GiB | [Download](https://huggingface.co/datasets/CyberHarem/noelle_genshin/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 856 | 468 |

### 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/noelle_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 | 28 |  |  |  |  |  | 1girl, collarbone, hair_ribbon, looking_at_viewer, official_alternate_hairstyle, virtual_youtuber, white_sweater, black_choker, plaid_skirt, ribbed_sweater, blue_ribbon, cleavage, official_alternate_costume, solo, off-shoulder_sweater, blush, smile, closed_mouth, strap_between_breasts, simple_background, brown_skirt, french_braid, handbag, black_skirt, white_background, shoulder_bag, glasses |
| 1 | 6 |  |  |  |  |  | 1girl, cleavage, cow_ears, cow_horns, cow_print, cowbell, looking_at_viewer, neck_bell, official_alternate_hairstyle, solo, virtual_youtuber, blush, official_alternate_costume, white_sweater, bare_shoulders, black_skirt, blue_bow, blunt_bangs, cow_tail, long_sleeves, open_mouth, :d, choker, clothing_cutout, hair_bow, holding_bottle, milk_bottle, off-shoulder_sweater, plaid_skirt, tail_bow |
| 2 | 28 |  |  |  |  |  | collared_shirt, looking_at_viewer, school_uniform, white_shirt, 1girl, blue_bowtie, pleated_skirt, solo, virtual_youtuber, blush, official_alternate_hairstyle, plaid_skirt, long_sleeves, smile, closed_mouth, official_alternate_costume, sitting, x_hair_ornament, blue_skirt, indoors, open_clothes, shirt_tucked_in, striped_bow |
| 3 | 7 |  |  |  |  |  | 1girl, bare_shoulders, detached_sleeves, looking_at_viewer, solo, virtual_youtuber, official_alternate_costume, belt, blue_ribbon, blush, closed_mouth, hair_ribbon, holding, long_hair, official_alternate_hair_length, ponytail, smile, thigh_strap, black_shorts, cowboy_shot, see-through_cleavage, short_shorts, weapon, white_dress, hair_ornament, long_sleeves, outdoors, white_shirt |
| 4 | 14 |  |  |  |  |  | 1girl, cleavage, frills, official_alternate_costume, official_alternate_hair_length, solo, virtual_youtuber, beer_mug, black_bowtie, hair_flower, holding_cup, looking_at_viewer, very_long_hair, corset, dirndl, blush, open_mouth, waist_apron, white_apron, detached_collar, :d, detached_sleeves, short_sleeves, blunt_bangs, simple_background, skirt, white_background, white_flower, capelet, cow_ears, cow_horns, dress, puffy_sleeves, upper_body, upper_teeth_only |
| 5 | 8 |  |  |  |  |  | 1girl, black_bowtie, cleavage, hair_flower, looking_at_viewer, official_alternate_costume, official_alternate_hair_length, smile, solo, virtual_youtuber, blush, detached_sleeves, dirndl, short_sleeves, very_long_hair, frills, closed_mouth, corset, outdoors, blurry_background, detached_collar, dress, upper_body, waist_apron, white_apron, white_thighhighs |
| 6 | 16 |  |  |  |  |  | 1girl, looking_at_viewer, solo, virtual_youtuber, blush, cleavage_cutout, shoulder_armor, smile, black_gloves, fingerless_gloves, chest_belt, mole_on_breast, tiara, hair_between_eyes, upper_body, simple_background, brown_belt, closed_mouth, open_mouth, vambraces, white_background, pouch |
| 7 | 21 |  |  |  |  |  | cleavage, looking_at_viewer, virtual_youtuber, 1girl, solo, blush, eyewear_on_head, sunglasses, bikini_skirt, navel, choker, collarbone, open_mouth, outdoors, two-tone_bikini, arm_strap, day, mole_on_breast, thigh_strap, :d, blue_sky, cloud, front-tie_bikini_top, hair_between_eyes, water, beach, ocean |
| 8 | 10 |  |  |  |  |  | 1girl, hololive_idol_uniform, official_alternate_costume, solo, tiara, white_gloves, bare_shoulders, looking_at_viewer, sleeveless, smile, blush, idol_clothes, open_mouth, bowtie, navel, white_skirt, wrist_cuffs, hair_ribbon, miniskirt, belt, blue_bow, holding, midriff |
| 9 | 7 |  |  |  |  |  | 1girl, armored_dress, cleavage, gauntlets, hair_flower, looking_at_viewer, maid_headdress, medium_breasts, red_rose, smile, solo, apron, closed_mouth, red_ascot, shoulder_armor, blush, white_background, armored_boots, braided_bangs, simple_background |
| 10 | 9 |  |  |  |  |  | 1girl, beret, black_headwear, long_sleeves, looking_at_viewer, official_alternate_costume, solo, blush, open_mouth, :d, black_dress, employee_uniform, white_pantyhose, blunt_bangs, burger, disposable_cup, holding, white_apron, bow, detached_collar, drinking_straw, red_ascot, tray |
| 11 | 15 |  |  |  |  |  | 1girl, solo, virtual_youtuber, looking_at_viewer, obi, blue_kimono, hair_flower, official_alternate_hairstyle, print_kimono, smile, wide_sleeves, blush, alternate_costume, closed_mouth, floral_print, long_sleeves, outdoors, upper_body, white_flower, hair_between_eyes |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | collarbone | hair_ribbon | looking_at_viewer | official_alternate_hairstyle | virtual_youtuber | white_sweater | black_choker | plaid_skirt | ribbed_sweater | blue_ribbon | cleavage | official_alternate_costume | solo | off-shoulder_sweater | blush | smile | closed_mouth | strap_between_breasts | simple_background | brown_skirt | french_braid | handbag | black_skirt | white_background | shoulder_bag | glasses | cow_ears | cow_horns | cow_print | cowbell | neck_bell | bare_shoulders | blue_bow | blunt_bangs | cow_tail | long_sleeves | open_mouth | :d | choker | clothing_cutout | hair_bow | holding_bottle | milk_bottle | tail_bow | collared_shirt | school_uniform | white_shirt | blue_bowtie | pleated_skirt | sitting | x_hair_ornament | blue_skirt | indoors | open_clothes | shirt_tucked_in | striped_bow | detached_sleeves | belt | holding | long_hair | official_alternate_hair_length | ponytail | thigh_strap | black_shorts | cowboy_shot | see-through_cleavage | short_shorts | weapon | white_dress | hair_ornament | outdoors | frills | beer_mug | black_bowtie | hair_flower | holding_cup | very_long_hair | corset | dirndl | waist_apron | white_apron | detached_collar | short_sleeves | skirt | white_flower | capelet | dress | puffy_sleeves | upper_body | upper_teeth_only | blurry_background | white_thighhighs | cleavage_cutout | shoulder_armor | black_gloves | fingerless_gloves | chest_belt | mole_on_breast | tiara | hair_between_eyes | brown_belt | vambraces | pouch | eyewear_on_head | sunglasses | bikini_skirt | navel | two-tone_bikini | arm_strap | day | blue_sky | cloud | front-tie_bikini_top | water | beach | ocean | hololive_idol_uniform | white_gloves | sleeveless | idol_clothes | bowtie | white_skirt | wrist_cuffs | miniskirt | midriff | armored_dress | gauntlets | maid_headdress | medium_breasts | red_rose | apron | red_ascot | armored_boots | braided_bangs | beret | black_headwear | black_dress | employee_uniform | white_pantyhose | burger | disposable_cup | bow | drinking_straw | tray | obi | blue_kimono | print_kimono | wide_sleeves | alternate_costume | floral_print |
|----:|----------:|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:--------|:-------------|:--------------|:--------------------|:-------------------------------|:-------------------|:----------------|:---------------|:--------------|:-----------------|:--------------|:-----------|:-----------------------------|:-------|:-----------------------|:--------|:--------|:---------------|:------------------------|:--------------------|:--------------|:---------------|:----------|:--------------|:-------------------|:---------------|:----------|:-----------|:------------|:------------|:----------|:------------|:-----------------|:-----------|:--------------|:-----------|:---------------|:-------------|:-----|:---------|:------------------|:-----------|:-----------------|:--------------|:-----------|:-----------------|:-----------------|:--------------|:--------------|:----------------|:----------|:------------------|:-------------|:----------|:---------------|:------------------|:--------------|:-------------------|:-------|:----------|:------------|:---------------------------------|:-----------|:--------------|:---------------|:--------------|:-----------------------|:---------------|:---------|:--------------|:----------------|:-----------|:---------|:-----------|:---------------|:--------------|:--------------|:-----------------|:---------|:---------|:--------------|:--------------|:------------------|:----------------|:--------|:---------------|:----------|:--------|:----------------|:-------------|:-------------------|:--------------------|:-------------------|:------------------|:-----------------|:---------------|:--------------------|:-------------|:-----------------|:--------|:--------------------|:-------------|:------------|:--------|:------------------|:-------------|:---------------|:--------|:------------------|:------------|:------|:-----------|:--------|:-----------------------|:--------|:--------|:--------|:------------------------|:---------------|:-------------|:---------------|:---------|:--------------|:--------------|:------------|:----------|:----------------|:------------|:-----------------|:-----------------|:-----------|:--------|:------------|:----------------|:----------------|:--------|:-----------------|:--------------|:-------------------|:------------------|:---------|:-----------------|:------|:-----------------|:-------|:------|:--------------|:---------------|:---------------|:--------------------|:---------------|
| 0 | 28 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 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 | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 28 |  |  |  |  |  | X | | | X | X | X | | | X | | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 7 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 14 |  |  |  |  |  | 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 | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 16 |  |  |  |  |  | X | | | X | | X | | | | | | | | X | | X | X | X | | X | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 21 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 10 |  |  |  |  |  | X | | X | X | | | | | | | | | X | X | | X | X | | | | | | | | | | | | | | | | X | X | | | | X | | | | | | | | | | | | | | | | | | | | | 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 | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | |
| 10 | 9 |  |  |  |  |  | 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 |

原始信息汇总

数据集概述

基本信息

• 名称: noelle/ノエル/诺艾尔 (Genshin Impact)
• 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

• 包含内容: 500张图像及其标签
• 核心标签: grey_hair, green_eyes, breasts, braid, large_breasts, short_hair, wavy_hair, medium_hair

数据来源

• 图像来源: 多个网站（如danbooru, pixiv, zerochan等）
• 采集系统: 由DeepGHS Team提供

数据集结构

包名	图像数量	大小	下载链接	类型	描述
raw	500	1.02 GiB	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）
stage3-p480-1200	1324	1.74 GiB	下载链接	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素

使用方法

• 加载原始数据集: 提供了一个使用waifuc加载原始数据集的Python示例代码。

数据集示例

• 集群列表: 提供了多个集群的示例图像及其详细标签，展示了数据集中的多样性和标签的丰富性。

结论

该数据集适用于text-to-image任务，特别关注于Genshin Impact中的角色noelle/ノエル/诺艾尔，提供了丰富的图像和详细标签，适合用于相关研究和应用。