Save Image Extended AdobeRGB

By MushroomFleetView on GitHub →

Save images with Adobe RGB / sRGB color space and 8/16-bit depth control for ComfyUI.

How much VRAM does Save Image Extended AdobeRGB require?

Direct Answer: The ComfyUI node Save Image Extended AdobeRGB 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for Save Image Extended AdobeRGB?

Direct Answer: Running Save Image Extended AdobeRGB requires installing the following Python package dependencies: imagecodecs, numpy, pillow, pillow-avif-plugin, pillow-jxl-plugin, tifffile. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
imagecodecs
numpy
pillow
pillow-avif-plugin
pillow-jxl-plugin
tifffile

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

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

ComfyUI Body Decal
by verias256MB VRAM
ComfyUI-3R3BOS-Pack
by 3R3BOS256MB VRAM
ComfyUI-Anima-NAG
by hybskgks28275256MB VRAM
ComfyUI-Bypass-Route-Tools
by JuPillet256MB VRAM
ComfyUI-DAViD
by AIWarper256MB VRAM

Frequently Asked Questions

How much VRAM does Save Image Extended AdobeRGB require?

Save Image Extended AdobeRGB 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 Save Image Extended AdobeRGB 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 Save Image Extended AdobeRGB?

To run Save Image Extended AdobeRGB, you need to install: imagecodecs, numpy, pillow, pillow-avif-plugin, pillow-jxl-plugin, tifffile. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Save Image Extended AdobeRGB?

Save Image Extended AdobeRGB 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 Image Extended AdobeRGB in ComfyUI?

To install Save Image Extended AdobeRGB: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/MushroomFleet/ComfyUI-Save-Extended-TIFF16-adobe-rgb, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.