README.md

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title: README
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<p align="center"><img src="https://raw.githubusercontent.com/ShoukanLabs/.github/main/profile/ShoukanLab-circle.png" width="256"></p>

<p align="center", style="font-size: 2rem; font-weight: bold; color: #ff593e;">🧪 ShoukanLabs ー召喚Labsー</p>

<p align="center">Shoukan 召喚【しょうかん】 ー can be translated into either Summon or Summoning.</p>

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## 🔎 What is ShoukanLabs?

We are a small (non-company) organisation aiming at producing cutting edge models 
- **[ButterCream](https://github.com/korakoe)**
- [AshtakaOOf](https://github.com/AshtakaOOf) 
- [Alex](https://github.com/MFAlex/) 
- [High Speed Rail Enjoyer](https://github.com/Ihateyoudattebayo) 
- [Neggles](https://github.com/neggles) 
- [ZeroCool](https://github.com/ZeroCool940711)
- [Soshyant](https://huggingface.co/Respair)
- [Wooser](https://huggingface.co/NekoMikoReimu)
- Karesto 

## 📚 Our Projects 

- **Future Projects**
  - None as of this current time

- **Current Projects**
  - A Large collection of projects surrounding TTS
    - Kalliope - *More details soon...*
    - [VoPho](https://github.com/ShoukanLabs/VoPho) - A universal meta-library for phonemisation under the MIT license, with support for single language and multi-code text! These phonemisers go under an accuracy verification process, to esnure the outputs are sound.
    - VokanPipe - Our dataset curation tool designed to make dataset production simple, efficient, and largely unsupervised. 

- **Previous Projects**
  - [AniSpeech](https://huggingface.co/datasets/ShoukanLabs/AniSpeech) - An expressive dataset used to train Vokan V1 (unfortunately, not of the best quality, we're working on it!)
  - [Vokan](https://huggingface.co/ShoukanLabs/Vokan) - An expressive StyleTTS2 finetune with better 0-shot capabilities
  - [OpenNiji](https://huggingface.co/ShoukanLabs/OpenNiji) - A finetune aimed at replicating Nijijourney on Stable Diffusion.
  - [OpenNiji-V2](https://huggingface.co/ShoukanLabs/OpenNiji-V2) - A second finetune made to replicate the Nijijourney style more accurately.
 
## 💡Our Philosophy
At ShoukanLabs, we believe in:

- Contributing to the community
- Cutting-edge AI research (and teaching old models new tricks)
- Collaborative development
- Not being limited to a hobbyist level even if we're hobbyist developers