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license: mit
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---
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## What is this?
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As you can see, this place is called `CyberHarem`, a centralized repository for anime waifu images dataset and LoRA models.
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## Where does the dataset come from? What's the format?
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* The dataset is automatically crawled from various major image websites like [ZeroChan](https://zerochan.net), [Anime-Pictures](https://anime-pictures.net/), [Danbooru](https://danbooru.donmai.us/), [Rule34](https://rule34.xxx/), etc.
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* In each dataset repository, there are both original data packs and images resized and aligned to a uniform size, along with image tags generated using the [SmilingWolf/wd-v1-4-convnextv2-tagger-v2](https://huggingface.co/SmilingWolf/wd-v1-4-convnextv2-tagger-v2) model.
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## How are the models trained? What's the format?
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license: mit
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## Update 2023.9.12
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If you want to make a LoRA request, see [this article](https://civitai.com/articles/2186/2023-9-12-open-requests-for-character-lora).
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CyberHarem is a non-profit technical team that works purely out of interest, so **we do not charge any fees in any form**. However, our computing resources and team members' working time are limited, so **we cannot guarantee the delivery time of models in principle**. We will do our best to complete them as soon as possible under the circumstances, and we hope for your understanding in this regard.
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## Update 2023.9.2
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Two recent developments:
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1. The **automated training process for `v1.4` has been deployed**, and the model's quality has improved significantly compared to before (for more technical details, see: https://civitai.com/articles/2064/2023-8-31-release-of-v14-training-automation-process). We are now in the process of thoroughly cleaning the dataset and retraining the model.
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2. We now support LoRA training for characters in anime videos, and the entire process is highly automated.
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## What is this?
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As you can see, this place is called `CyberHarem`, a centralized repository for anime waifu images dataset and LoRA models.
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It's an interesting experiment where **all the datasets, models, model previews, and models published to [civitai](https://civitai.com/user/narugo1992/models) are fully auto-generated without any human intervention**. For this purpose, we've done a lot of tech and data preparation, which you can find in our [Organization - DeepGHS](https://huggingface.co/deepghs) and the code on [Github - DeepGHS](https://github.com/deepghs).
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Currently, we have collected databases of several popular mobile games' characters (see [Supported Games of GChar Library](https://narugo1992.github.io/gchar/main/best_practice/supported/index.html#supported-games)) and crawled datasets of female characters from these games for training. In the future, we may include more characters, not just limited to mobile games, but also from anime series. **You can find your waifu with [CyberHarem/find_my_waifu](https://huggingface.co/spaces/CyberHarem/find_my_waifu).**
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## Where does the dataset come from? What's the format?
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* The dataset is automatically crawled from various major image websites like [ZeroChan](https://zerochan.net), [Anime-Pictures](https://anime-pictures.net/), [Danbooru](https://danbooru.donmai.us/), [Rule34](https://rule34.xxx/), etc. (see [Supported Sites of GChar Library](https://narugo1992.github.io/gchar/main/best_practice/supported/index.html#supported-sites))
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* In each dataset repository, there are both original data packs and images resized and aligned to a uniform size, along with image tags generated using the [SmilingWolf/wd-v1-4-convnextv2-tagger-v2](https://huggingface.co/SmilingWolf/wd-v1-4-convnextv2-tagger-v2) model.
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## How are the models trained? What's the format?
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