README.md

---
language:
- en
- es
- fr
- de
- it
- pt
- pl
- tr
- ru
- nl
- cs
- ar
- zh
- ja
- hu
- ko
- hi
pipeline_tag: text-to-speech
tags:
- text-to-speech
- tts
- ggml
- vulkan
- c++
- on-device
license: coqui-public-model-license
base_model: coqui/XTTS-v2
---

# ATTS1HG1: High-Performance GGML Implementation of XTTS-v2

**ATTS1HG1** is a high-speed, native C++ implementation of the Coqui XTTS-v2 model, utilizing the **GGML** tensor library. It features a custom integrated HiFiGAN vocoder optimized for **Vulkan** and **CPU** inference.

<div align="center">

| **Source Code & GUI** | **Base Model** | **Backend** |
|:---:|:---:|:---:|
| [**GitHub: ATTS1HG1**](https://github.com/abbndz/ATTS1HG1) | [Coqui XTTS-v2](https://huggingface.co/coqui/XTTS-v2) | GGML / Vulkan |

</div>

## 🚀 Key Features

* **Blazing Fast:** Generates audio in **< 0.5s** on consumer GPUs (RTX 3090) and **~1.0s** on CPU.
* **Vulkan Support:** Fully optimized HiFiGAN vocoder running on Vulkan (compatible with NVIDIA, AMD, Intel iGPUs).
* **Lightweight:** Native C++ application, no heavy Python dependencies (PyTorch/TensorFlow not required at runtime).
* **Multi-Language:** Supports 17 languages.
* **Voice :** Supports 58 speaker (similar to XTTS).

## 🌍 Supported Languages

The model supports the following 17 languages:

| Code | Language | Native Name |
| :--- | :--- | :--- |
| **en** | English | English |
| **es** | Spanish | Español |
| **fr** | French | Français |
| **de** | German | Deutsch |
| **it** | Italian | Italiano |
| **pt** | Portuguese | Português |
| **pl** | Polish | Polski |
| **tr** | Turkish | Türkçe |
| **ru** | Russian | Русский |
| **nl** | Dutch | Nederlands |
| **cs** | Czech | Čeština |
| **ar** | Arabic | العربية |
| **zh** | Chinese | 中文 |
| **ja** | Japanese | 日本語 |
| **hu** | Hungarian | Magyar |
| **ko** | Korean | 한국어 |
| **hi** | Hindi | हिन्दी |

## ⚡ Performance

Benchmarks based on standard text generation ("Bonjour le monde") using the C++ client:

| Device | Backend | Latency (Total) | Note |
| :--- | :--- | :--- | :--- |
| **NVIDIA RTX 3090** | **Vulkan** | **~0.47s** | 🚀 **Recommended** |
| **Intel iGPU** | Vulkan | ~1.40s | Good for laptops |
| **CPU (Ryzen/Intel)**| CPU (AVX2)| ~1.02s | Solid fallback |
| **NVIDIA RTX 3090** | CUDA | ~1.45s | Slower on HiFiGAN due to kernel overhead |

> **Note:** The Vulkan backend is significantly faster for the HiFiGAN part of the pipeline compared to CUDA due to optimized command buffers and reduced kernel launch overhead for small convolutions.

## 🛠️ Usage

This repository contains the converted `.bin` / `.gguf` weights required by the ATTS1HG1 software.

1. Download the model files from this repository.
2. Clone and compile the software from GitHub:
```bash
git clone [https://github.com/abbndz/ATTS1HG1](https://github.com/abbndz/ATTS1HG1)
```
3. Load the model in the GUI or CLI and select **Vulkan** for best performance.



---
*Credits: Based on the excellent work by Coqui.ai and the GGML library by ggerganov.*

README.md

@@ -1,5 +1,112 @@
----
-pipeline_tag: text-to-speech
-tags:
-- TTS
----
+---
+language:
+- en
+- es
+- fr
+- de
+- it
+- pt
+- pl
+- tr
+- ru
+- nl
+- cs
+- ar
+- zh
+- ja
+- hu
+- ko
+- hi
+pipeline_tag: text-to-speech
+tags:
+- text-to-speech
+- tts
+- ggml
+- vulkan
+- c++
+- on-device
+license: other
+license_name: coqui-public-model-license
+license_link: https://coqui.ai/cpml
+base_model: coqui/XTTS-v2
+---
+
+
+# ATTS1HG1: High-Performance GGML Implementation of XTTS-v2
+
+**ATTS1HG1** is a high-speed, native C++ implementation of the Coqui XTTS-v2 model, utilizing the **GGML** tensor library. It features a custom integrated HiFiGAN vocoder optimized for **Vulkan** and **CPU** inference.
+
+<div align="center">
+
+| **Source Code & GUI** | **Base Model** | **Backend** |
+|:---:|:---:|:---:|
+| [**GitHub: ATTS1HG1**](https://github.com/abbndz/ATTS1HG1) | [Coqui XTTS-v2](https://huggingface.co/coqui/XTTS-v2) | GGML / Vulkan |
+
+</div>
+
+## 🚀 Key Features
+
+* **Blazing Fast:** Generates audio in **< 0.5s** on consumer GPUs (RTX 3090) and **~1.0s** on CPU.
+* **Vulkan Support:** Fully optimized HiFiGAN vocoder running on Vulkan (compatible with NVIDIA, AMD, Intel iGPUs).
+* **Lightweight:** Native C++ application, no heavy Python dependencies (PyTorch/TensorFlow not required at runtime).
+* **Multi-Language:** Supports 17 languages.
+* **Voice :** Supports 58 speaker (similar to XTTS).
+
+## 🌍 Supported Languages
+
+The model supports the following 17 languages:
+
+| Code | Language | Native Name |
+| :--- | :--- | :--- |
+| **en** | English | English |
+| **es** | Spanish | Español |
+| **fr** | French | Français |
+| **de** | German | Deutsch |
+| **it** | Italian | Italiano |
+| **pt** | Portuguese | Português |
+| **pl** | Polish | Polski |
+| **tr** | Turkish | Türkçe |
+| **ru** | Russian | Русский |
+| **nl** | Dutch | Nederlands |
+| **cs** | Czech | Čeština |
+| **ar** | Arabic | العربية |
+| **zh** | Chinese | 中文 |
+| **ja** | Japanese | 日本語 |
+| **hu** | Hungarian | Magyar |
+| **ko** | Korean | 한국어 |
+| **hi** | Hindi | हिन्दी |
+
+## ⚡ Performance
+
+Benchmarks based on standard text generation ("Bonjour le monde") using the C++ client:
+
+| Device | Backend | Latency (Total) | Note |
+| :--- | :--- | :--- | :--- |
+| **NVIDIA RTX 3090** | **Vulkan** | **~0.47s** | 🚀 **Recommended** |
+| **Intel iGPU** | Vulkan | ~1.40s | Good for laptops |
+| **CPU (Ryzen/Intel)**| CPU (AVX2)| ~1.02s | Solid fallback |
+| **NVIDIA RTX 3090** | CUDA | ~1.45s | Slower on HiFiGAN due to kernel overhead |
+
+> **Note:** The Vulkan backend is significantly faster for the HiFiGAN part of the pipeline compared to CUDA due to optimized command buffers and reduced kernel launch overhead for small convolutions.
+
+## 🛠️ Usage
+
+This repository contains the converted `.bin` / `.gguf` weights required by the ATTS1HG1 software.
+
+1.  Download the model files from this repository.
+2.  Clone and compile the software from GitHub:
+    ```bash
+    git clone [https://github.com/abbndz/ATTS1HG1](https://github.com/abbndz/ATTS1HG1)
+    ```
+3.  Load the model in the GUI or CLI and select **Vulkan** for best performance.
+
+## 📜 License
+
+This project uses the weights from **Coqui XTTS-v2**, which is licensed under the **Coqui Public Model License (CPML)**.
+* **Non-commercial use:** You can use this model for personal, educational, and non-commercial projects.
+* **Commercial use:** Requires a license from Coqui (check their repository for details).
+
+The C++ code (inference engine) is available under the MIT License (see GitHub).
+
+---
+*Credits: Based on the excellent work by Coqui.ai and the GGML library by ggerganov.*