Enhanced Image Composite Masked

By darkamenosaView on GitHub →

Seamless inpainting for image-space models like Google Nano Banana and ByteDance Seedream 4. Fixes color mismatches using Poisson blending.

How much VRAM does Enhanced Image Composite Masked require?

Direct Answer: The ComfyUI node Enhanced Image Composite Masked 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!

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What Python packages are required for Enhanced Image Composite Masked?

Direct Answer: Running Enhanced Image Composite Masked requires installing the following Python package dependencies: numpy>=1.19.0, opencv-python>=4.5.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
numpy>=1.19.0
opencv-python>=4.5.0
torch>=1.9.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 1.9.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI Silver Nodes
by SilverAndJade256MB VRAM
Eric_Image_Processing_Nodes
by EricRollei128MB VRAM
SeedVR2 Tiling Upscaler
by moonwhaler3.0GB VRAM
Augment — Design Nodes for ComfyUI
by augment-lib256MB VRAM

Frequently Asked Questions

How much VRAM does Enhanced Image Composite Masked require?

Enhanced Image Composite Masked 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 Enhanced Image Composite Masked 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 PyTorch version does Enhanced Image Composite Masked need?

Enhanced Image Composite Masked requires the following PyTorch-related packages: torch>=1.9.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for Enhanced Image Composite Masked?

To run Enhanced Image Composite Masked, you need to install: numpy>=1.19.0, opencv-python>=4.5.0, torch>=1.9.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Enhanced Image Composite Masked?

Enhanced Image Composite Masked 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 Enhanced Image Composite Masked in ComfyUI?

To install Enhanced Image Composite Masked: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/darkamenosa/comfy_inpaint_blend, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.