--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of yanfei/煙緋/烟绯 (Genshin Impact) This is the dataset of yanfei/煙緋/烟绯 (Genshin Impact), containing 500 images and their tags. The core tags of this character are `pink_hair, long_hair, horns, green_eyes, hair_between_eyes, red_headwear, hat, breasts, small_breasts`, 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 | 1.06 GiB | [Download](https://huggingface.co/datasets/CyberHarem/yanfei_genshin/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 500 | 878.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanfei_genshin/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1337 | 1.80 GiB | [Download](https://huggingface.co/datasets/CyberHarem/yanfei_genshin/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/yanfei_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 | 15 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, bare_shoulders, black_bra, cleavage, crop_top, detached_sleeves, long_sleeves, looking_at_viewer, midriff, solo, cowboy_shot, navel, stomach, antlers, red_skirt, white_background, :d, open_mouth, simple_background, yellow_bow, standing, very_long_hair, holding, book | | 1 | 6 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, bare_shoulders, black_bra, cleavage, crop_top, detached_sleeves, long_sleeves, looking_at_viewer, midriff, smile, solo, antlers, upper_body, white_background, navel, simple_background, stomach | | 2 | 5 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, bare_shoulders, bloomers, cleavage, crop_top, detached_sleeves, long_sleeves, midriff, navel, smile, solo, standing, stomach, antlers, black_bra, cowboy_shot, black_shorts, looking_at_viewer, red_skirt, fire, simple_background, thighs, yellow_bow | | 3 | 9 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, antlers, bare_shoulders, crop_top, detached_sleeves, long_sleeves, looking_at_viewer, midriff, solo, navel, open_mouth, stomach, cleavage, red_skirt, :d | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, antlers, bare_shoulders, crop_top, detached_sleeves, long_sleeves, looking_at_viewer, open_mouth, solo, boots, midriff, red_footwear, skirt, :d, holding, staff | | 5 | 6 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, antlers, bare_shoulders, detached_sleeves, looking_at_viewer, solo, upper_body, holding_book, long_sleeves, smile, closed_mouth | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | bare_shoulders | black_bra | cleavage | crop_top | detached_sleeves | long_sleeves | looking_at_viewer | midriff | solo | cowboy_shot | navel | stomach | antlers | red_skirt | white_background | :d | open_mouth | simple_background | yellow_bow | standing | very_long_hair | holding | book | smile | upper_body | bloomers | black_shorts | fire | thighs | boots | red_footwear | skirt | staff | holding_book | closed_mouth | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:------------|:-----------|:-----------|:-------------------|:---------------|:--------------------|:----------|:-------|:--------------|:--------|:----------|:----------|:------------|:-------------------|:-----|:-------------|:--------------------|:-------------|:-----------|:-----------------|:----------|:-------|:--------|:-------------|:-----------|:---------------|:-------|:---------|:--------|:---------------|:--------|:--------|:---------------|:---------------| | 0 | 15 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 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 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | X | X | X | X | X | X | | X | X | X | | X | | | X | | | | | | X | X | | | | | | | | | | | | 2 | 5 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | X | X | X | | | | X | | X | X | X | X | | | | | | | | 3 | 9 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | | X | X | X | X | X | X | X | | X | X | X | X | | X | X | | | | | | | | | | | | | | | | | | | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | X | | | X | X | X | X | X | X | | | | X | | | X | X | | | | | X | | | | | | | | X | X | X | X | | | | 5 | 6 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | X | | | | X | X | X | | X | | | | X | | | | | | | | | | | X | X | | | | | | | | | X | X |