--- title: README emoji: π colorFrom: red colorTo: yellow sdk: static pinned: true ---
π§ͺ ShoukanLabs γΌε¬εLabsγΌ
Shoukan ε¬εγγγγγγγ γΌ can be translated into either Summon or Summoning.
## π 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 ## π Our Projects - **Future Projects** - None as of this current time - **Current Projects** - A Large collection of projects surrounding TTS - Vokan-V2 - An iterative improvement on the Vokan TTS model, featuring several architectural improvements. - *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. ## π‘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