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CyberHarem/kanade_beasttamer
Text-to-Image
•
Updated
Error code: UnexpectedApiError
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This is the dataset of Kanade/カナデ (Beast Tamer), containing 524 images and their tags.
The core tags of this character are long_hair, animal_ears, animal_ear_fluff, ribbon, hair_ribbon, green_eyes, cat_ears, orange_hair, red_ribbon, brown_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(huggingface organization).
Name | Images | Size | Download | Type | Description | Images-others | Images-head |
---|---|---|---|---|---|---|---|
raw | 524 | 420.61 MiB | Download | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
stage3-p480-1200 | 1086 | 766.46 MiB | Download | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 487 | 599 |
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/kanade_beasttamer',
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 tag clustering result, maybe some outfits can be mined here.