How to use t8star/Ming3-TTS-Comfy with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf t8star/Ming3-TTS-Comfy:Q8_0 # Run inference directly in the terminal: llama cli -hf t8star/Ming3-TTS-Comfy:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf t8star/Ming3-TTS-Comfy:Q8_0 # Run inference directly in the terminal: llama cli -hf t8star/Ming3-TTS-Comfy:Q8_0
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf t8star/Ming3-TTS-Comfy:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf t8star/Ming3-TTS-Comfy:Q8_0
docker model run hf.co/t8star/Ming3-TTS-Comfy:Q8_0
How to use t8star/Ming3-TTS-Comfy with Ollama:
ollama run hf.co/t8star/Ming3-TTS-Comfy:Q8_0
How to use t8star/Ming3-TTS-Comfy with Docker Model Runner:
How to use t8star/Ming3-TTS-Comfy with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull t8star/Ming3-TTS-Comfy:Q8_0
lemonade run user.Ming3-TTS-Comfy-Q8_0
lemonade list
