CyberHarem/vila_reverse1999

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Vila/维拉 (Reverse:1999) This is the dataset of Vila/维拉 (Reverse:1999), containing 21 images and their tags. The core tags of this character are `long_hair, blonde_hair, blue_eyes, braid, hair_ornament`, 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 | Images-head | Images-others | |:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------| | raw | 21 | 44.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/vila_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- | | stage3-p480-1200 | 50 | 70.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/vila_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 18 | 32 | ### 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/vila_reverse1999', 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 | 7 |  |  |  |  |  | black_gloves, simple_background, white_background, 2girls, hat, long_sleeves, white_shirt, 1girl, blush, jacket, necklace, red_headwear, scarf, yuri | | 1 | 11 |  |  |  |  |  | 1girl, closed_mouth, white_shirt, black_gloves, solo, red_scarf, long_skirt, looking_at_viewer, smile, holding, long_sleeves, standing, bead_necklace, boots, full_body, pearl_necklace, white_flower, brown_footwear, brown_hair, brown_jacket, brown_skirt, coat, copyright_notice, fringe_trim, green_eyes, hair_flower, head_scarf, low_twin_braids, outdoors, very_long_hair | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | black_gloves | simple_background | white_background | 2girls | hat | long_sleeves | white_shirt | 1girl | blush | jacket | necklace | red_headwear | scarf | yuri | closed_mouth | solo | red_scarf | long_skirt | looking_at_viewer | smile | holding | standing | bead_necklace | boots | full_body | pearl_necklace | white_flower | brown_footwear | brown_hair | brown_jacket | brown_skirt | coat | copyright_notice | fringe_trim | green_eyes | hair_flower | head_scarf | low_twin_braids | outdoors | very_long_hair | |----:|----------:|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------|:--------------------|:-------------------|:---------|:------|:---------------|:--------------|:--------|:--------|:---------|:-----------|:---------------|:--------|:-------|:---------------|:-------|:------------|:-------------|:--------------------|:--------|:----------|:-----------|:----------------|:--------|:------------|:-----------------|:---------------|:-----------------|:-------------|:---------------|:--------------|:-------|:-------------------|:--------------|:-------------|:--------------|:-------------|:------------------|:-----------|:-----------------| | 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 11 |  |  |  |  |  | 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 | X | X | X | X |--- 许可证：MIT许可证 任务类别： - 文本到图像（text-to-image） 标签： - 艺术（art） - 不适合全年龄段受众（not-for-all-audiences） 规模类别： - 样本量小于1000（n<1K） --- # 《重返未来：1999》角色维拉（Vila/维拉）数据集 本数据集为游戏《重返未来：1999》中的角色维拉（Vila/维拉）相关数据集，共包含21张图像及其对应的标注标签。 该角色的核心标注标签为`long_hair（长发）、blonde_hair（金发）、blue_eyes（蓝眼）、braid（编发）、hair_ornament（发饰）`，本数据集已对这些标签进行了剪枝处理。 本数据集的图像源自多个平台（如danbooru、pixiv、zerochan等），自动爬取系统由[DeepGHS团队](https://github.com/deepghs)（[Hugging Face组织](https://huggingface.co/deepghs)）开发维护。 ## 数据包列表 | 数据包名称 | 图像数量 | 文件大小 | 下载链接 | 数据类型 | 描述 | 图像头部样本数 | 其他图像样本数 | |:---------|---------:|:---------|:---------|:---------|:-----|:--------------|:---------------| | raw | 21 | 44.43 MiB | [下载](https://huggingface.co/datasets/CyberHarem/vila_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | 包含元信息的原始数据，若图像短边大于1400像素则对齐至1400像素 | -- | -- | | stage3-p480-1200 | 50 | 70.98 MiB | [下载](https://huggingface.co/datasets/CyberHarem/vila_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 区域不小于480x480像素的三阶裁剪数据集 | 18 | 32 | ### 使用Waifuc加载原始数据集 我们提供了可通过[Waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html)加载的原始数据集（包含带标签的图像）。如需使用该数据集，请运行以下代码： python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # 下载原始压缩包文件 zip_file = hf_hub_download( repo_id='CyberHarem/vila_reverse1999', repo_type='dataset', filename='dataset-raw.zip', ) # 将文件解压至指定目录 dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # 使用Waifuc加载数据集 source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ## 聚类结果列表 以下为标签聚类结果列表，可从中挖掘对应角色穿搭风格。 ### 原始文本版本 | 聚类编号 | 样本数 | 示例图1 | 示例图2 | 示例图3 | 示例图4 | 示例图5 | 标签列表 | |----:|----------:|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 7 |  |  |  |  |  | black_gloves（黑手套）, simple_background（纯色背景）, white_background（白色背景）, 2girls（双女性角色）, hat（帽子）, long_sleeves（长袖）, white_shirt（白色衬衫）, 1girl（单女性角色）, blush（脸红）, jacket（夹克）, necklace（项链）, red_headwear（红色头饰）, scarf（围巾）, yuri（百合向） | | 1 | 11 |  |  |  |  |  | 1girl（单女性角色）, closed_mouth（闭嘴）, white_shirt（白色衬衫）, black_gloves（黑手套）, solo（单人）, red_scarf（红色围巾）, long_skirt（长裙）, looking_at_viewer（看向镜头）, smile（微笑）, holding（持有物品）, long_sleeves（长袖）, standing（站姿）, bead_necklace（串珠项链）, boots（靴子）, full_body（全身像）, pearl_necklace（珍珠项链）, white_flower（白色花朵）, brown_footwear（棕色鞋履）, brown_hair（棕发）, brown_jacket（棕色夹克）, brown_skirt（棕色短裙）, coat（外套）, copyright_notice（版权声明）, fringe_trim（流苏饰边）, green_eyes（绿眼）, hair_flower（发饰花）, head_scarf（头巾）, low_twin_braids（低双麻花辫）, outdoors（户外场景）, very_long_hair（超长发） | ### 表格版本 | 聚类编号 | 样本数 | 示例图1 | 示例图2 | 示例图3 | 示例图4 | 示例图5 | black_gloves | simple_background | white_background | 2girls | hat | long_sleeves | white_shirt | 1girl | blush | jacket | necklace | red_headwear | scarf | yuri | closed_mouth | solo | red_scarf | long_skirt | looking_at_viewer | smile | holding | standing | bead_necklace | boots | full_body | pearl_necklace | white_flower | brown_footwear | brown_hair | brown_jacket | brown_skirt | coat | copyright_notice | fringe_trim | green_eyes | hair_flower | head_scarf | low_twin_braids | outdoors | very_long_hair | |----:|----------:|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------|:--------------------|:-------------------|:---------|:------|:---------------|:--------------|:--------|:--------|:---------|:-----------|:---------------|:--------|:-------|:---------------|:-------|:------------|:-------------|:--------------------|:--------|:----------|:-----------|:----------------|:--------|:------------|:-----------------|:---------------|:-----------------|:-------------|:---------------|:--------------|:-------|:-------------------|:--------------|:-------------|:--------------|:-------------|:------------------|:-----------|:-----------------| | 0 | 7 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 11 |  |  |  |  |  | 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 | X | X | X | X | X |