Instructions to use ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio:Q4_K_M # Run inference directly in the terminal: llama cli -hf ChrisColeTech/scenema-audio:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ChrisColeTech/scenema-audio:Q4_K_M # Run inference directly in the terminal: llama cli -hf ChrisColeTech/scenema-audio:Q4_K_M
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 ChrisColeTech/scenema-audio:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ChrisColeTech/scenema-audio:Q4_K_M
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 ChrisColeTech/scenema-audio:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ChrisColeTech/scenema-audio:Q4_K_M
Use Docker
docker model run hf.co/ChrisColeTech/scenema-audio:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ChrisColeTech/scenema-audio with Ollama:
ollama run hf.co/ChrisColeTech/scenema-audio:Q4_K_M
- Unsloth Studio
How to use ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ChrisColeTech/scenema-audio to start chatting
- Docker Model Runner
How to use ChrisColeTech/scenema-audio with Docker Model Runner:
docker model run hf.co/ChrisColeTech/scenema-audio:Q4_K_M
- Lemonade
How to use ChrisColeTech/scenema-audio with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ChrisColeTech/scenema-audio:Q4_K_M
Run and chat with the model
lemonade run user.scenema-audio-Q4_K_M
List all available models
lemonade list
- Atomic Chat
metadata
license: other
pipeline_tag: text-to-audio
tags:
- text-to-music
- music-generation
- ltxv
base_model:
- ScenemaAI/scenema-audio
Scenema Audio
Sample Audio - Honey Buns (30s)
- ~3.3 min on an RTX 5090 (32 GB)
Sample Audio - WAKE UP PEOPLE (2m)
- ~4.3 min on an RTX 5090 (32 GB)
Components used to generate
| Component | File | ~Size | Download |
|---|---|---|---|
| Transformer | scenema-audio-transformer-int8.safetensors |
4.91 GB | Link |
| Text Encoder | gemma-3-12b-it-Q4_K_M.gguf |
7.3 GB | Link |
| Audio Pipeline VAE | scenema-audio-pipeline.safetensors |
6.71 GB | Link |
| Audio Encoder VAE | scenema-audio-vae-encoder.safetensors |
42.7 MB | Link |
| Extras folder | scenema-audio/extras |
2.3 GB | Link |
⚠ scenema-audio extras is required for longer audio, and for voice-to-voice ⚠
- Download extras folder Link and place here: /ComfyUI/models/scenema-audio/extras
- Create the
scenema-audio/extrasfolder if it doesnt exist
Must have:
- /scenema-audio/extras/mel-band-roformer
- /scenema-audio/extras/bigvgan
- /scenema-audio/extras/campplus
- /scenema-audio/extras/seedvc
- /scenema-audio/extras/whisper-small
⚠ Must use the updated GGUF Loader ⚠
In comfy:
- Open the ComfyUI Manager
- Change the channel to "Channel (remote)"
- and search for comfyui-gguf-loader
Use the workflow Link
Sources
| Base model | ScenemaAI/scenema-audio |

