Pre-baked ComfyUI Cloud GPU template with PyTorch 2.10, CUDA 12.8 & 55+ custom nodes.
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A high-performance, pre-baked Docker container image designed for Cloud GPU instances (SimplePod only).
Pre-loaded with PyTorch 2.10, CUDA 12.8 acceleration, Triton, SageAttention, and 55+ custom node suites for instant startup without waiting for installer downloads on boot.
python start.py: Permanent Storage Mode ā Models persist across pod restarts.python start-delete.py: Temporary / Ephemeral Storage Mode ā Wipes models on pod stop to save paid volume space.| Setting Field | Value |
|---|---|
| Image Name | shubzailabs/shubz-comfyui-cuda126 |
| Image Tag | latest |
| System Disk | 100 GB |
| Mount Point | /workspace |
| Expose Ports | 8765 (Name: COMFYUI) |
python start.py
python start-delete.py
http://<YOUR_POD_IP>:8765 or via Proxy link.SimplePod's proxy button generates links ending with
?arg=TOKEN. To access ComfyUI via proxy, copy the token from your Jupyter URL and change the link suffix from?arg=TOKENto/?token=TOKEN:https://<YOUR-PROXY-HOST>/?token=<YOUR_TOKEN>
Need custom ComfyUI workflows, specialized node configurations, custom Docker image builds, or AI deployment assistance?
š Fiverr Profile: https://www.fiverr.com/mrbadgameā
Feel free to reach out on Fiverr for custom AI setups, workflow optimization, and cloud GPU deployment services!
Content type
Image
Digest
sha256:62fc0f30dā¦
Size
18 GB
Last updated
3 months ago
docker pull shubzailabs/shubz-comfyui-cuda126