Image to Painting and Inspyrenet Assistant Nodes

By Isi-devView on GitHub →

These are ComfyUI nodes to assist in converting images to paintings and to assist the Inspyrenet Rembg node to totally remove, or replace with a color, the original background from images so that the background does not reappear in videos or in nodes that do not retain the alpha channel in rgba images.

How much VRAM does Image to Painting and Inspyrenet Assistant Nodes require?

Direct Answer: The ComfyUI node Image to Painting and Inspyrenet Assistant Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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What Python packages are required for Image to Painting and Inspyrenet Assistant Nodes?

Direct Answer: Running Image to Painting and Inspyrenet Assistant Nodes requires installing the following Python package dependencies: numpy, opencv-python, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
opencv-python
torch

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-Animation_Nodes_and_Workflows
by Isi-dev4.0GB VRAM
ComfyUI-Img2DrawingAssistants
by Isi-dev128MB VRAM
ComfyUI-UniAnimate-W
by Isi-dev4.0GB VRAM
ComfyUI_DeleteModelPassthrough
by Isi-dev256MB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM

Frequently Asked Questions

How much VRAM does Image to Painting and Inspyrenet Assistant Nodes require?

Image to Painting and Inspyrenet Assistant Nodes requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run Image to Painting and Inspyrenet Assistant Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does Image to Painting and Inspyrenet Assistant Nodes need?

Image to Painting and Inspyrenet Assistant Nodes requires the following PyTorch-related packages: torch. 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 Image to Painting and Inspyrenet Assistant Nodes?

To run Image to Painting and Inspyrenet Assistant Nodes, you need to install: numpy, opencv-python, torch. You can install these using pip or add them to your requirements.txt file.

How do I install Image to Painting and Inspyrenet Assistant Nodes in ComfyUI?

To install Image to Painting and Inspyrenet Assistant Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Isi-dev/ComfyUI-Img2PaintingAssistant, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.