NanoBanana FaceSwap
Face/head replacement for ComfyUI via Google Nano Banana 2 (Gemini image editing). Five swap pathways (whole, crop, mask-inpaint, unbiased, painted-edit), mediapipe + YuNet + Gemini bbox detector cascade, LAB / grain / sharpness / Laplacian compositing, identity-ref obfuscation for celebrity-classifier evasion.
How much VRAM does NanoBanana FaceSwap require?
Direct Answer: The ComfyUI node NanoBanana FaceSwap 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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What Python packages are required for NanoBanana FaceSwap?
Direct Answer: Running NanoBanana FaceSwap requires installing the following Python package dependencies: google-genai>=0.8.0, mediapipe>=0.10.13,<0.11, numpy, opencv-python>=4.6.0, pillow. Ensure your ComfyUI environment has these packages active before launching.
google-genai>=0.8.0
mediapipe>=0.10.13,<0.11
numpy
opencv-python>=4.6.0
pillowInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does NanoBanana FaceSwap require?
NanoBanana FaceSwap 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 NanoBanana FaceSwap 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 NanoBanana FaceSwap?
To run NanoBanana FaceSwap, you need to install: google-genai>=0.8.0, mediapipe>=0.10.13,<0.11, numpy, opencv-python>=4.6.0, pillow. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running NanoBanana FaceSwap?
NanoBanana FaceSwap 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 NanoBanana FaceSwap in ComfyUI?
To install NanoBanana FaceSwap: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/IxMxAMAR/ComfyUI-NanoBanana-FaceSwap, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.