AudioCraft is a PyTorch library for deep learning research on audio generation.
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This image is designed for optimal performance on Latitude.sh servers. With just one click, you can have Stable Diffusion Forge running on a top-tier GPU.
AudioCraft is a PyTorch library for deep learning research on audio generation. AudioCraft contains inference and training code for two state-of-the-art AI generative models producing high-quality audio: AudioGen and MusicGen.
This Blueprint sets up a fully pre-configured environment for AudioCraft, complete with SSH support and JupyterLab for deeper manipulation. After deployment, you will receive URLs to access the WebUI and JupyterLab, along with a public IP for SSH connections.
To enable SSH access, you must input your public SSH key in the PUBLIC_KEY environment variable during deployment. After deployment, an IP address will be provided for access. Use the following command to connect:
ssh root@<APP_IP> -p 22
For optimal performance, it is highly recommended to run this on a server with GPU acceleration, such as an H100 or L40s.
| Connect Port | Internal Port | Description |
|---|---|---|
| 22 | 22 | SSH Server |
| 7860 | 7860 | Audiocraft |
| 8888 | 8888 | JupyterLab |
| Variable | Description |
|---|---|
| PUBLIC_KEY | Public Key for SSH access |
| SSH_USER | Username for SSH access (default: root) |
CC BY-NC-SA 4.0
This blueprint was designed and developed by our partner researcher:
Content type
Image
Digest
sha256:56b4d06bc…
Size
3.6 GB
Last updated
over 2 years ago
docker pull latitudesh/audiocraft