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Tags:
art
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License:
asanagi_azurlane / README.md
narugo's picture
Publish character 'asanagi (Azur Lane)' to repository, on 2024-01-13 20:29:28 UTC
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metadata
license: mit
task_categories:
  - text-to-image
tags:
  - art
  - not-for-all-audiences
size_categories:
  - n<1K

Dataset of asanagi/朝凪/朝凪 (Azur Lane)

This is the dataset of asanagi/朝凪/朝凪 (Azur Lane), containing 34 images and their tags.

The core tags of this character are animal_ears, long_hair, bangs, animal_ear_fluff, yellow_eyes, fox_ears, twintails, blunt_bangs, breasts, grey_hair, fox_girl, tail, braid, very_long_hair, fox_tail, small_breasts, bow, white_hair, hair_bow, red_bow, fang, 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(huggingface organization).

List of Packages

Name Images Size Download Type Description
raw 34 58.70 MiB Download Waifuc-Raw Raw data with meta information (min edge aligned to 1400 if larger).
800 34 25.61 MiB Download IMG+TXT dataset with the shorter side not exceeding 800 pixels.
stage3-p480-800 88 60.00 MiB Download IMG+TXT 3-stage cropped dataset with the area not less than 480x480 pixels.
1200 34 47.47 MiB Download IMG+TXT dataset with the shorter side not exceeding 1200 pixels.
stage3-p480-1200 88 94.18 MiB Download 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 loading. If you need this, just run the following code

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/asanagi_azurlane',
    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 10 1girl, looking_at_viewer, white_thighhighs, solo, white_bikini, open_mouth, blush, micro_bikini, navel, smile, collarbone, side-tie_bikini_bottom, armpits, day, skindentation, sky, toeless_legwear
1 15 1girl, solo, looking_at_viewer, detached_sleeves, black_thighhighs, open_mouth, black_gloves, blush, fingerless_gloves, simple_background, leotard, wide_sleeves, :d, japanese_clothes, navel, sword, white_background, bare_shoulders, clothing_cutout, fangs, ribbon_trim, skirt

Table Version

# Samples Img-1 Img-2 Img-3 Img-4 Img-5 1girl looking_at_viewer white_thighhighs solo white_bikini open_mouth blush micro_bikini navel smile collarbone side-tie_bikini_bottom armpits day skindentation sky toeless_legwear detached_sleeves black_thighhighs black_gloves fingerless_gloves simple_background leotard wide_sleeves :d japanese_clothes sword white_background bare_shoulders clothing_cutout fangs ribbon_trim skirt
0 10 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