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remsky 2025-01-14 03:54:52 -07:00
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# Kokoro TTS API
[![Tests](https://img.shields.io/badge/tests-117%20passed-darkgreen)]()
[![Coverage](https://img.shields.io/badge/coverage-75%25-darkgreen)]()
[![Tested at Model Commit](https://img.shields.io/badge/last--tested--model--commit-a67f113-blue)](https://huggingface.co/hexgrad/Kokoro-82M/tree/c3b0d86e2a980e027ef71c28819ea02e351c2667) [![Try on Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Try%20on-Spaces-blue)](https://huggingface.co/spaces/Remsky/Kokoro-TTS-Zero)
[![Tested at Model Commit](https://img.shields.io/badge/last--tested--model--commit-a67f113-blue)](https://huggingface.co/hexgrad/Kokoro-82M/tree/c3b0d86e2a980e027ef71c28819ea02e351c2667) [![Try on Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Try%20on-Spaces-blue)](https://huggingface.co/spaces/Remsky/Kokoro-TTS-Zero) [![Buy Me A Coffee](https://img.shields.io/badge/BMC-✨☕-gray?style=flat-square)](https://www.buymeacoffee.com/remsky)
Dockerized FastAPI wrapper for [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) text-to-speech model
- OpenAI-compatible Speech endpoint, with inline voice combination functionality
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```bash
git clone https://github.com/remsky/Kokoro-FastAPI.git
cd Kokoro-FastAPI
docker compose up --build
docker compose up --build # for GPU
#docker compose -f docker-compose.cpu.yml up --build # for CPU
```
2. Run locally as an OpenAI-Compatible Speech Endpoint
```python
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See `examples/phoneme_examples/generate_phonemes.py` for a sample script.
</details>
## Known Issues
<details>
<summary>Linux GPU Permissions</summary>
Some Linux users may encounter GPU permission issues when running as non-root.
Can't guarantee anything, but here are some common solutions, consider your security requirements carefully
### Option 1: Container Groups (Likely the best option)
```yaml
services:
kokoro-tts:
# ... existing config ...
group_add:
- "video"
- "render"
```
### Option 2: Host System Groups
```yaml
services:
kokoro-tts:
# ... existing config ...
user: "${UID}:${GID}"
group_add:
- "video"
```
Note: May require adding host user to groups: `sudo usermod -aG docker,video $USER` and system restart.
### Option 3: Device Permissions (Use with caution)
```yaml
services:
kokoro-tts:
# ... existing config ...
devices:
- /dev/nvidia0:/dev/nvidia0
- /dev/nvidiactl:/dev/nvidiactl
- /dev/nvidia-uvm:/dev/nvidia-uvm
```
⚠️ Warning: Reduces system security. Use only in development environments.
Prerequisites: NVIDIA GPU, drivers, and container toolkit must be properly configured.
Visit [NVIDIA Container Toolkit installation](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) for more detailed information
</details>
## Model and License
<details open>