Text-to-Speech
ONNX
GGUF
Chinese
English
onnxruntime
tts
on-device
jetson
telephony
vits
mb-istft-vits
multi-speaker
mandarin
taiwanese-mandarin
imatrix
conversational
Instructions to use Luigi/PrimeTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Luigi/PrimeTTS with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: llama cli -hf Luigi/PrimeTTS:F32
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: llama cli -hf Luigi/PrimeTTS:F32
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: ./llama-cli -hf Luigi/PrimeTTS:F32
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Luigi/PrimeTTS:F32
Use Docker
docker model run hf.co/Luigi/PrimeTTS:F32
- LM Studio
- Jan
- Ollama
How to use Luigi/PrimeTTS with Ollama:
ollama run hf.co/Luigi/PrimeTTS:F32
- Unsloth Studio
How to use Luigi/PrimeTTS with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Luigi/PrimeTTS to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Luigi/PrimeTTS to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Luigi/PrimeTTS to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Luigi/PrimeTTS with Docker Model Runner:
docker model run hf.co/Luigi/PrimeTTS:F32
- Lemonade
How to use Luigi/PrimeTTS with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Luigi/PrimeTTS:F32
Run and chat with the model
lemonade run user.PrimeTTS-F32
List all available models
lemonade list
fix: aligner uses text_norm.normalize (entity normalizer)
Browse files
scripts/align_durations_v4.py
CHANGED
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@@ -40,10 +40,11 @@ BOPO2IPA = {
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def build_frontend_with_charidx():
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import frontend_bopomofo as F
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import re
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F._lazy()
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def run(text):
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-
text =
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bopo = F._g2pw(text)[0]
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chars = list(text)
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phones, tones, langs = [], [], []
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def build_frontend_with_charidx():
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import frontend_bopomofo as F
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+
import text_norm
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import re
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F._lazy()
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def run(text):
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+
text = text_norm.normalize(text)
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bopo = F._g2pw(text)[0]
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chars = list(text)
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phones, tones, langs = [], [], []
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