Update README.md

README.md

@@ -7,6 +7,13 @@ sdk: static
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+<style>
+  .container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+  }
+</style>
 
 <p align="center"><img src="https://raw.githubusercontent.com/ShoukanLabs/.github/main/profile/ShoukanLab-circle.png" width="256"></p>
 
@@ -14,38 +21,46 @@ pinned: true
 
 <p align="center">Shoukan 召喚【しょうかん】 ー can be translated into either Summon or Summoning.</p>
 
+<div class='container'>
+  <a align="center" href="https://discord.gg/5bq9HqVhsJ"><img src="https://img.shields.io/badge/find_us_at_the-ShoukanLabs_Discord-invite?style=flat-square&logo=discord&logoColor=%23ffffff&labelColor=%235865F2&color=%23ffffff" width="320" alt="discord"></a>
+  <!--<a align="left" style="font-size: 1.3rem; font-weight: bold; color: #5662f6;" href="https://discord.gg/5bq9HqVhsJ">find us on Discord</a>-->
+</div>
+
 ## 🔎 What is ShoukanLabs?
 
-We are a tiny group of AI enthusiasts founded by ButterCream, and currently comprised of: 
+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)
-
-We are working on AI Image generation and other generative technologies!
-
-<a href="https://discord.gg/5bq9HqVhsJ"><img src="https://img.shields.io/badge/find_us_at_the-ShoukanLabs_Discord-invite?style=flat-square&logo=discord&logoColor=%23ffffff&labelColor=%235865F2&color=%23ffffff" width="320" alt="discord"></a>
+- [Soshyant](https://huggingface.co/Respair)
+- [Wooser](https://huggingface.co/NekoMikoReimu)
+- Karesto 
 
 ## 📚 Our Projects 
 
 - **Future Projects**
-  - OpenNiji-V3 *(placeholder name | Most likely to be built on [Muse](https://github.com/Sygil-Dev/muse-maskgit-pytorch))*
+  - None as of this current time
 
 - **Current Projects**
-  - A Large collection of models surrounding TTS (Vokan-V2 included)
-  - [Muse](https://github.com/Sygil-Dev/muse-maskgit-pytorch) - A new architecture for efficient text2image generation, based on the [Google Paper](https://arxiv.org/abs/2301.00704)
-  - [OpenNiji-Dataset](https://huggingface.co/datasets/ShoukanLabs/OpenNiji-Dataset) - The dataset that will be used for OpenNiji-V3
-    - [Dataset preview](https://huggingface.co/spaces/ShoukanLabs/OpenNiji-Dataset-Viewer) - See what images the dataset contains
+  - 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.
  
-## Announcements
-<p align="center"><img src="https://raw.githubusercontent.com/ShoukanLabs/.github/main/profile/Shoukan%20x%20Sygil.png" width="720"></p>
-
+## 💡Our Philosophy
+At ShoukanLabs, we believe in:
 
-- We are happy to announce a partnership with **[Sygil.dev!](https://github.com/Sygil-Dev)** We're working on some massive things together and hope to share them with you **soon!**
+- 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