Image Saving and Base64 Encoding Script

By GrailGregView on GitHub →

Based on the original SaveImage node from ComfyUI This ComfyUI node provides functionality to save images in PNG format while simultaneously generating and returning their Base64 encoded strings. This is particularly useful for applications that require image data to be transmitted as strings, such as web applications.

How much VRAM does Image Saving and Base64 Encoding Script require?

Direct Answer: The ComfyUI node Image Saving and Base64 Encoding Script requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Anima Style Explorer
by fulletlab256MB VRAM
Chatbox Overlay node for ComfyUI
by Smuzzies256MB VRAM
Clh Tool for ComfyUI
by clhui256MB VRAM
Comfy UI Text List Product
by opvelll256MB VRAM
ComfyRage
by rakkarage256MB VRAM

Frequently Asked Questions

How much VRAM does Image Saving and Base64 Encoding Script require?

Image Saving and Base64 Encoding Script requires a minimum of 256MB (0.3GB) 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 Image Saving and Base64 Encoding Script on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

How can I reduce VRAM usage when running Image Saving and Base64 Encoding Script?

Image Saving and Base64 Encoding Script 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 Image Saving and Base64 Encoding Script in ComfyUI?

To install Image Saving and Base64 Encoding Script: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/GrailGreg/images_base64, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.