Google Photos Loader - by PabloGFX
A ComfyUI custom node that integrates Google Photos into your workflows. List albums, load images from specific albums, and search photos directly within ComfyUI. Features customizable image loading options, sorting, and efficient caching for seamless integration of your Google Photos library into AI image processing pipelines.
How much VRAM does Google Photos Loader - by PabloGFX require?
Direct Answer: The ComfyUI node Google Photos Loader - by PabloGFX 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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What Python packages are required for Google Photos Loader - by PabloGFX?
Direct Answer: Running Google Photos Loader - by PabloGFX requires installing the following Python package dependencies: aiohttp>=3.7.4, google-auth>=1.30.0, google-auth-oauthlib>=0.4.1, numpy>=1.19.0, pillow>=8.0.0, termcolor>=1.1.0, torch>=1.7.0. This node specifically requires PyTorch version 1.7.0 or newer.
aiohttp>=3.7.4
google-auth>=1.30.0
google-auth-oauthlib>=0.4.1
numpy>=1.19.0
pillow>=8.0.0
termcolor>=1.1.0
torch>=1.7.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.7.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does Google Photos Loader - by PabloGFX require?
Google Photos Loader - by PabloGFX requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run Google Photos Loader - by PabloGFX on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does Google Photos Loader - by PabloGFX need?
Google Photos Loader - by PabloGFX requires the following PyTorch-related packages: torch>=1.7.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for Google Photos Loader - by PabloGFX?
To run Google Photos Loader - by PabloGFX, you need to install: aiohttp>=3.7.4, google-auth>=1.30.0, google-auth-oauthlib>=0.4.1, numpy>=1.19.0, pillow>=8.0.0, termcolor>=1.1.0, torch>=1.7.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Google Photos Loader - by PabloGFX?
Google Photos Loader - by PabloGFX supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install Google Photos Loader - by PabloGFX in ComfyUI?
To install Google Photos Loader - by PabloGFX: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/lazniak/comfyui-google-photos-loader, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.