Publish character 'maomao_theapothecarydiaries' to repository, on 2024-03-27 19:38:49 UTC
Browse files- README.md +89 -0
- dataset-1200.zip +3 -0
- dataset-raw.zip +3 -0
- dataset-stage3-p480-1200.zip +3 -0
- meta.json +187 -0
- samples/0/clu0-sample0.png +3 -0
- samples/0/clu0-sample1.png +3 -0
- samples/0/clu0-sample2.png +3 -0
- samples/0/clu0-sample3.png +3 -0
- samples/0/clu0-sample4.png +3 -0
- samples/1/clu1-sample0.png +3 -0
- samples/1/clu1-sample1.png +3 -0
- samples/1/clu1-sample2.png +3 -0
- samples/1/clu1-sample3.png +3 -0
- samples/1/clu1-sample4.png +3 -0
- samples/2/clu2-sample0.png +3 -0
- samples/2/clu2-sample1.png +3 -0
- samples/2/clu2-sample2.png +3 -0
- samples/2/clu2-sample3.png +3 -0
- samples/2/clu2-sample4.png +3 -0
- samples/3/clu3-sample0.png +3 -0
- samples/3/clu3-sample1.png +3 -0
- samples/3/clu3-sample2.png +3 -0
- samples/3/clu3-sample3.png +3 -0
- samples/3/clu3-sample4.png +3 -0
- samples/4/clu4-sample0.png +3 -0
- samples/4/clu4-sample1.png +3 -0
- samples/4/clu4-sample2.png +3 -0
- samples/4/clu4-sample3.png +3 -0
- samples/4/clu4-sample4.png +3 -0
- samples/5/clu5-sample0.png +3 -0
- samples/5/clu5-sample1.png +3 -0
- samples/5/clu5-sample2.png +3 -0
- samples/5/clu5-sample3.png +3 -0
- samples/5/clu5-sample4.png +3 -0
- samples/6/clu6-sample0.png +3 -0
- samples/6/clu6-sample1.png +3 -0
- samples/6/clu6-sample2.png +3 -0
- samples/6/clu6-sample3.png +3 -0
- samples/6/clu6-sample4.png +3 -0
- samples/7/clu7-sample0.png +3 -0
- samples/7/clu7-sample1.png +3 -0
- samples/7/clu7-sample2.png +3 -0
- samples/7/clu7-sample3.png +3 -0
- samples/7/clu7-sample4.png +3 -0
- samples/8/clu8-sample0.png +3 -0
- samples/8/clu8-sample1.png +3 -0
- samples/8/clu8-sample2.png +3 -0
- samples/8/clu8-sample3.png +3 -0
- samples/8/clu8-sample4.png +3 -0
README.md
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---
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license: mit
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task_categories:
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- text-to-image
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tags:
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- art
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- not-for-all-audiences
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size_categories:
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- n<1K
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---
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# Dataset of Maomao/猫猫/maomao (The Apothecary Diaries)
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This is the dataset of Maomao/猫猫/maomao (The Apothecary Diaries), containing 588 images and their tags.
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The core tags of this character are `long_hair, green_hair, blunt_bangs, freckles, blue_eyes, hair_ornament, twintails`, which are pruned in this dataset.
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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)).
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## List of Packages
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| Name | Images | Size | Download | Type | Description |
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|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
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| raw | 588 | 394.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/maomao_theapothecarydiaries/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
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| 1200 | 588 | 394.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/maomao_theapothecarydiaries/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
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| stage3-p480-1200 | 1147 | 703.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/maomao_theapothecarydiaries/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |
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### Load Raw Dataset with Waifuc
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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
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```python
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import os
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import zipfile
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from huggingface_hub import hf_hub_download
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from waifuc.source import LocalSource
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# download raw archive file
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zip_file = hf_hub_download(
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repo_id='CyberHarem/maomao_theapothecarydiaries',
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repo_type='dataset',
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filename='dataset-raw.zip',
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)
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# extract files to your directory
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dataset_dir = 'dataset_dir'
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os.makedirs(dataset_dir, exist_ok=True)
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with zipfile.ZipFile(zip_file, 'r') as zf:
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zf.extractall(dataset_dir)
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# load the dataset with waifuc
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source = LocalSource(dataset_dir)
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for item in source:
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print(item.image, item.meta['filename'], item.meta['tags'])
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```
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## List of Clusters
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List of tag clustering result, maybe some outfits can be mined here.
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### Raw Text Version
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| 0 | 7 | ![](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, chinese_clothes, closed_mouth, hair_beads, solo, upper_body |
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| 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, closed_mouth, hair_beads, hanfu, indoors, looking_at_viewer, solo, upper_body, long_sleeves, multi-tied_hair |
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| 2 | 10 | ![](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, hair_beads, hanfu, long_sleeves, solo, closed_mouth, indoors, upper_body, table, multi-tied_hair |
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| 3 | 11 | ![](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, chinese_clothes, hair_beads, profile, solo, upper_body, from_side, indoors, long_sleeves, hair_over_shoulder, closed_mouth |
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| 4 | 10 | ![](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, day, outdoors, solo, closed_mouth, cloud, hanfu, long_sleeves, upper_body, blue_sky, hair_beads |
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| 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, chinese_clothes, earrings, necklace, solo, hair_bun, lipstick, flower, portrait |
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| 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | 1girl, long_sleeves, looking_at_viewer, purple_eyes, skirt, solo, standing, wide_sleeves, hanfu, open_mouth, backpack, bandages, hair_beads, holding_strap, outdoors |
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| 7 | 13 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | 1girl, earrings, solo, night_sky, starry_sky, hair_flower, outdoors |
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| 8 | 6 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | 1girl, earrings, hair_flower, lipstick, profile, braid, solo_focus, 1boy, eyeshadow, from_side, blush, kimono, sidelocks |
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### Table Version
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | chinese_clothes | closed_mouth | hair_beads | solo | upper_body | hanfu | indoors | looking_at_viewer | long_sleeves | multi-tied_hair | table | profile | from_side | hair_over_shoulder | day | outdoors | cloud | blue_sky | earrings | necklace | hair_bun | lipstick | flower | portrait | purple_eyes | skirt | standing | wide_sleeves | open_mouth | backpack | bandages | holding_strap | night_sky | starry_sky | hair_flower | braid | solo_focus | 1boy | eyeshadow | blush | kimono | sidelocks |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:------------------|:---------------|:-------------|:-------|:-------------|:--------|:----------|:--------------------|:---------------|:------------------|:--------|:----------|:------------|:---------------------|:------|:-----------|:--------|:-----------|:-----------|:-----------|:-----------|:-----------|:---------|:-----------|:--------------|:--------|:-----------|:---------------|:-------------|:-----------|:-----------|:----------------|:------------|:-------------|:--------------|:--------|:-------------|:-------|:------------|:--------|:---------|:------------|
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| 0 | 7 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| 2 | 10 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| 3 | 11 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| 4 | 10 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | |
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| 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 | | | | | | | | | | | | | | | | | | |
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| 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | X | | | X | X | | X | | X | X | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | |
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| 7 | 13 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | X | | | | X | | | | | | | | | | | | X | | | X | | | | | | | | | | | | | | X | X | X | | | | | | | |
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| 8 | 6 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | X | | | | | | | | | | | | X | X | | | | | | X | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X | X |
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dataset-1200.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd63716c67d8695e773980ff8f1b5836e89cd17e5027eb6299695c42a2afdc47
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size 413844469
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dataset-raw.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:757e0d0863def2ffa624f3571245bb99900b3d6cd20a2c7b15ae707a69b7a363
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size 414060557
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dataset-stage3-p480-1200.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec7c293932ab18548a23c7e165874a7f63163661c770970d3661544b295597c6
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size 737995148
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meta.json
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{
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"bangumi": "BangumiBase/theapothecarydiaries",
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"base_size": 588,
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"clusters": [
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{
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"id": 0,
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"size": 7,
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"tags": [
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"1girl",
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"chinese_clothes",
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"closed_mouth",
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"hair_beads",
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"solo",
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"upper_body"
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]
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},
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{
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"id": 1,
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"size": 6,
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"tags": [
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"1girl",
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"closed_mouth",
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"hair_beads",
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"hanfu",
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"indoors",
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"looking_at_viewer",
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"solo",
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"upper_body",
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"long_sleeves",
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"multi-tied_hair"
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]
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},
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{
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"id": 2,
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"size": 10,
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"tags": [
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"1girl",
|
38 |
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|
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
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|
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|
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