Instructions to use Prompt-Pirate/comfytts-models 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 Prompt-Pirate/comfytts-models 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 Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Prompt-Pirate/comfytts-models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: llama cli -hf Prompt-Pirate/comfytts-models:Q8_0
Build from source code
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 Prompt-Pirate/comfytts-models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf Prompt-Pirate/comfytts-models:Q8_0
Use Docker
docker model run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use Prompt-Pirate/comfytts-models with Ollama:
ollama run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Unsloth Desktop
- Pi
How to use Prompt-Pirate/comfytts-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Prompt-Pirate/comfytts-models:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Prompt-Pirate/comfytts-models with Docker Model Runner:
docker model run hf.co/Prompt-Pirate/comfytts-models:Q8_0
- Lemonade
How to use Prompt-Pirate/comfytts-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Prompt-Pirate/comfytts-models:Q8_0
Run and chat with the model
lemonade run user.comfytts-models-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use Prompt-Pirate/comfytts-models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Prompt-Pirate/comfytts-models:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Prompt-Pirate/comfytts-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Prompt-Pirate/comfytts-models:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Prompt-Pirate/comfytts-models:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download engines/firered2/config_codec.json from Prompt-Pirate/comfytts-models: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/Prompt-Pirate/comfytts-models/resolve/main/engines/firered2/config_codec.json
- Command line
-
hf download hf://Prompt-Pirate/comfytts-models/engines/firered2/config_codec.json
-
curl -L -o config_codec.json https://huggingface.co/Prompt-Pirate/comfytts-models/resolve/main/engines/firered2/config_codec.json
1.59 kB
| { | |
| "codec": { | |
| "ssl_adaptor": { | |
| "in_dim": 1280, | |
| "embed_dim": 768, | |
| "out_dim": 768, | |
| "num_layers": 4, | |
| "num_heads": 12, | |
| "ffn_dim": 3072, | |
| "attn_dropout": 0, | |
| "dropout": 0 | |
| }, | |
| "acoustic_encoder": { | |
| "num_mels": 128, | |
| "sampling_rate": 16000, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "fmin": 0, | |
| "fmax": 8000, | |
| "embed_dim": 768, | |
| "num_layers": 12, | |
| "num_heads": 12, | |
| "ffn_dim": 3072, | |
| "attn_dropout": 0, | |
| "dropout": 0, | |
| "max_positions": 1500 | |
| }, | |
| "downsample": { | |
| "embed_dim": 1536, | |
| "avg_pooler": 4 | |
| }, | |
| "rvq": { | |
| "input_dim": 1536, | |
| "rvq_dim": 768, | |
| "output_dim": 768, | |
| "num_quantizers": 16, | |
| "codebook_size": 2048, | |
| "codebook_dim": 512 | |
| }, | |
| "upsample": { | |
| "embed_dim": 768, | |
| "stride": 4 | |
| }, | |
| "semantic_decoder": { | |
| "in_dim": 768, | |
| "embed_dim": 768, | |
| "out_dim": 1280, | |
| "num_layers": 4, | |
| "num_heads": 12, | |
| "ffn_dim": 3072, | |
| "attn_dropout": 0, | |
| "dropout": 0 | |
| }, | |
| "acoustic_decoder": { | |
| "embed_dim": 768, | |
| "num_layers": 12, | |
| "num_heads": 12, | |
| "dropout": 0, | |
| "hop_length": 240, | |
| "causal": true | |
| } | |
| } | |
| } |