https://github.com/saladtechnologies/stable-audio-open
https://github.com/saladtechnologies/stable-audio-open
Last synced: 29 days ago
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- Host: GitHub
- URL: https://github.com/saladtechnologies/stable-audio-open
- Owner: SaladTechnologies
- Created: 2024-06-12T16:35:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-12T17:40:57.000Z (over 1 year ago)
- Last Synced: 2025-08-29T04:51:43.215Z (about 1 month ago)
- Language: Python
- Size: 109 KB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Demo: Stable-Audio-Open-1.0 using Gradio
https://huggingface.co/stabilityai/stable-audio-open-1.0
https://www.gradio.app/
The Gradio code is configured to listen on an IPv6 port for running on SaladCloud; use IPv4 for local runs and tests:
demo.launch( server_name="[::]", server_port=8000 ), for IPv6 usage
demo.launch( server_name="0.0.0.0", server_port=8000 ), for IPv4 usage
# Deploy on SaladCloud
## Create a container group with the following paramaters and access the app using the generated Access Domian Name:
Image Source: saladtechnologies/richardx:0.0.3-stable (our prebuilt image or yours)
Replica Count: 1 (can only be one for this UI app)
Resource：2 vCPU, 12 GB Memory, any GPU types with 16 GB or more VRAM
Container Gateway: Enbaled, Port 8000
Environment Variables: HF_TOKEN (YOUR_HUGGINGFACE_ACCESS_TOKEN_READ)
The model weights (around 6 GB) will be dynamically downloaded from Hugging Face when the container is running.
# Local Run
### Build & Push
docker image build -t YOUR_IMAGE_NAME -f Dockerfile .
docker login
docker push YOUR_IMAGE_NAME
### Run
docker run -it --rm -p 8000:8000 --gpus all \
-e HF_TOKEN="YOUR_HUGGINGFACE_ACCESS_TOKEN_READ" \
YOUR_IMAGE_NAME
### Run with the pre-downloaded model weights on the host
docker run -it --rm -p 8000:8000 --gpus all \
-v /home/CURRENT_USER/.cache/huggingface:/root/.cache/huggingface \
-e HF_TOKEN="HUGGINGFACE_ACCESS_TOKEN_READ" \
YOUR_IMAGE_NAME