Save Uncompressed 16 Bit PNG
The SaveImageARGB16PNG node provides functionality for saving images as uncompressed PNG files with ARGB16 precision. This node is particularly useful for workflows that require high-quality image saving with metadata such as prompts and additional PNG info.
How much VRAM does Save Uncompressed 16 Bit PNG require?
Direct Answer: The ComfyUI node Save Uncompressed 16 Bit PNG 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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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 Save Uncompressed 16 Bit PNG?
Direct Answer: Running Save Uncompressed 16 Bit PNG requires installing the following Python package dependencies: imath, openexr. Ensure your ComfyUI environment has these packages active before launching.
imath
openexrInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Save Uncompressed 16 Bit PNG require?
Save Uncompressed 16 Bit PNG 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 Save Uncompressed 16 Bit PNG 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
What Python packages are required for Save Uncompressed 16 Bit PNG?
To run Save Uncompressed 16 Bit PNG, you need to install: imath, openexr. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Save Uncompressed 16 Bit PNG?
Save Uncompressed 16 Bit PNG 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 Save Uncompressed 16 Bit PNG in ComfyUI?
To install Save Uncompressed 16 Bit PNG: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/yolanother/ComfyUI-Save16bitPng, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.