ComfyUI GCP Cloud Storage Integration
This custom node package provides seamless integration between ComfyUI and Google Cloud Platform (GCP) Cloud Storage, enabling you to run ComfyUI without relying on instance disk storage. decouple your storage needs from local disks by leveraging GCP's scalable and reliable Cloud Storage service. Models can be saved and loaded directly from Cloud Storage, while outputs and temporary files are automatically synced.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI GCP Cloud Storage Integration requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running ComfyUI GCP Cloud Storage Integration requires installing the following Python package dependencies: google-auth>=2.22.0, google-auth-httplib2>=0.1.0, google-auth-oauthlib>=1.0.0, google-cloud-storage>=2.10.0. Ensure your ComfyUI environment has these packages active before launching.
google-auth>=2.22.0
google-auth-httplib2>=0.1.0
google-auth-oauthlib>=1.0.0
google-cloud-storage>=2.10.0🛠️ Interactive Setup & Dependency Resolver
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