comfyui-google-genmedia-custom-nodes
A suite of experimental custom nodes that allows access to Google's 1P models like Veo, Imagen, Nano Banana, Gemini, Virtual-try-on, Lyria
How much VRAM does comfyui-google-genmedia-custom-nodes require?
Direct Answer: The ComfyUI node comfyui-google-genmedia-custom-nodes 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for comfyui-google-genmedia-custom-nodes?
Direct Answer: Running comfyui-google-genmedia-custom-nodes requires installing the following Python package dependencies: google-api-core==2.24.2, google-cloud-aiplatform==1.111.0, google-cloud-storage==2.19.0, google-genai==1.56.0, google-generativeai==0.8.5, moviepy==2.2.1, opencv-python-headless==4.11.0.86. Ensure your ComfyUI environment has these packages active before launching.
google-api-core==2.24.2
google-cloud-aiplatform==1.111.0
google-cloud-storage==2.19.0
google-genai==1.56.0
google-generativeai==0.8.5
moviepy==2.2.1
opencv-python-headless==4.11.0.86Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfyui-google-genmedia-custom-nodes require?
comfyui-google-genmedia-custom-nodes 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 comfyui-google-genmedia-custom-nodes 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 Python packages are required for comfyui-google-genmedia-custom-nodes?
To run comfyui-google-genmedia-custom-nodes, you need to install: google-api-core==2.24.2, google-cloud-aiplatform==1.111.0, google-cloud-storage==2.19.0, google-genai==1.56.0, google-generativeai==0.8.5, moviepy==2.2.1, opencv-python-headless==4.11.0.86. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui-google-genmedia-custom-nodes?
comfyui-google-genmedia-custom-nodes 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 comfyui-google-genmedia-custom-nodes in ComfyUI?
To install comfyui-google-genmedia-custom-nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/GoogleCloudPlatform/comfyui-google-genmedia-custom-nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.