|
--- |
|
license: mit |
|
task_categories: |
|
- text-to-image |
|
tags: |
|
- art |
|
- not-for-all-audiences |
|
size_categories: |
|
- n<1K |
|
--- |
|
|
|
# Dataset of kokona/春原ココナ/心奈 (Blue Archive) |
|
|
|
This is the dataset of kokona/春原ココナ/心奈 (Blue Archive), containing 500 images and their tags. |
|
|
|
The core tags of this character are `long_hair, grey_hair, multicolored_hair, animal_ears, streaked_hair, black_hair, halo, very_long_hair, tiger_ears, breasts, small_breasts, brown_eyes, orange_eyes`, 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 | 753.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kokona_bluearchive/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | |
|
| 1200 | 500 | 633.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kokona_bluearchive/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | |
|
| stage3-p480-1200 | 1318 | 1.33 GiB | [Download](https://huggingface.co/datasets/CyberHarem/kokona_bluearchive/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/kokona_bluearchive', |
|
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 | 35 |  |  |  |  |  | 1girl, black_dress, looking_at_viewer, solo, vertical-striped_clothes, black_jacket, diamond_cutout, simple_background, long_sleeves, blush, vertical-striped_dress, white_background, off_shoulder, chinese_clothes, closed_mouth, white_skirt, sleeveless, clothing_cutout, open_clothes, cowboy_shot, frilled_skirt | |
|
| 1 | 6 |  |  |  |  |  | 1girl, black_dress, black_jacket, black_socks, full_body, long_sleeves, pelvic_curtain, simple_background, sneakers, solo, vertical-striped_clothes, vertical-striped_dress, diamond_cutout, off_shoulder, standing, white_background, white_footwear, blush, closed_mouth, sleeveless, white_skirt, bag, china_dress, looking_at_viewer, open_clothes, pout | |
|
| 2 | 5 |  |  |  |  |  | 1boy, 1girl, black_dress, blush, hetero, loli, black_jacket, simple_background, solo_focus, vertical-striped_dress, blue_halo, looking_at_viewer, sleeveless, tongue_out, uncensored, vertical-striped_clothes, licking_penis, open_mouth, pov | |
|
| 3 | 7 |  |  |  |  |  | 1boy, 1girl, blush, hetero, loli, navel, nipples, open_mouth, penis, spread_legs, blue_halo, completely_nude, pussy, sex, solo_focus, vaginal, bar_censor, tiger_girl, stomach_bulge, yellow_eyes | |
|
| 4 | 7 |  |  |  |  |  | 1girl, blue_halo, blush, navel, simple_background, loli, micro_bikini, white_bikini, open_mouth, solo, cameltoe, cowboy_shot, looking_at_viewer, tiger_girl, white_background, collarbone, heart, parted_lips | |
|
| 5 | 18 |  |  |  |  |  | 1girl, looking_at_viewer, pussy, completely_nude, loli, navel, blush, nipples, solo, barefoot, blue_halo, toes, cleft_of_venus, uncensored, anus, closed_mouth, collarbone, feet, flat_chest, simple_background, soles, spread_legs, white_background, open_mouth | |
|
| 6 | 10 |  |  |  |  |  | blush, white_apron, 1girl, frilled_apron, simple_background, maid_headdress, blue_halo, enmaided, looking_at_viewer, solo, white_background, black_dress, maid_apron, puffy_short_sleeves, waist_apron, hair_between_eyes, black_footwear, bowtie, full_body, open_mouth, shoes, white_thighhighs | |
|
| 7 | 12 |  |  |  |  |  | 1girl, alternate_costume, playboy_bunny, strapless_leotard, detached_collar, looking_at_viewer, solo, blush, fake_animal_ears, open_mouth, rabbit_ears, simple_background, white_background, wrist_cuffs, bare_shoulders, black_leotard, covered_navel, highleg_leotard, pantyhose, red_bowtie, blue_halo | |
|
|
|
### Table Version |
|
|
|
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_dress | looking_at_viewer | solo | vertical-striped_clothes | black_jacket | diamond_cutout | simple_background | long_sleeves | blush | vertical-striped_dress | white_background | off_shoulder | chinese_clothes | closed_mouth | white_skirt | sleeveless | clothing_cutout | open_clothes | cowboy_shot | frilled_skirt | black_socks | full_body | pelvic_curtain | sneakers | standing | white_footwear | bag | china_dress | pout | 1boy | hetero | loli | solo_focus | blue_halo | tongue_out | uncensored | licking_penis | open_mouth | pov | navel | nipples | penis | spread_legs | completely_nude | pussy | sex | vaginal | bar_censor | tiger_girl | stomach_bulge | yellow_eyes | micro_bikini | white_bikini | cameltoe | collarbone | heart | parted_lips | barefoot | toes | cleft_of_venus | anus | feet | flat_chest | soles | white_apron | frilled_apron | maid_headdress | enmaided | maid_apron | puffy_short_sleeves | waist_apron | hair_between_eyes | black_footwear | bowtie | shoes | white_thighhighs | alternate_costume | playboy_bunny | strapless_leotard | detached_collar | fake_animal_ears | rabbit_ears | wrist_cuffs | bare_shoulders | black_leotard | covered_navel | highleg_leotard | pantyhose | red_bowtie | |
|
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------|:--------------------|:-------|:---------------------------|:---------------|:-----------------|:--------------------|:---------------|:--------|:-------------------------|:-------------------|:---------------|:------------------|:---------------|:--------------|:-------------|:------------------|:---------------|:--------------|:----------------|:--------------|:------------|:-----------------|:-----------|:-----------|:-----------------|:------|:--------------|:-------|:-------|:---------|:-------|:-------------|:------------|:-------------|:-------------|:----------------|:-------------|:------|:--------|:----------|:--------|:--------------|:------------------|:--------|:------|:----------|:-------------|:-------------|:----------------|:--------------|:---------------|:---------------|:-----------|:-------------|:--------|:--------------|:-----------|:-------|:-----------------|:-------|:-------|:-------------|:--------|:--------------|:----------------|:-----------------|:-----------|:-------------|:----------------------|:--------------|:--------------------|:-----------------|:---------|:--------|:-------------------|:--------------------|:----------------|:--------------------|:------------------|:-------------------|:--------------|:--------------|:-----------------|:----------------|:----------------|:------------------|:------------|:-------------| |
|
| 0 | 35 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
| 2 | 5 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
| 4 | 7 |  |  |  |  |  | X | | X | X | | | | X | | X | | X | | | | | | | | X | | | | | | | | | | | | | X | | X | | | | X | | X | | | | | | | | | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
| 5 | 18 |  |  |  |  |  | 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 | 10 |  |  |  |  |  | X | X | X | X | | | | X | | X | | X | | | | | | | | | | | X | | | | | | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | |
|
| 7 | 12 |  |  |  |  |  | X | | X | X | | | | X | | X | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | |
|
|
|
|
