Image to Painting and Inspyrenet Assistant Nodes
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.
Quick Technical Summary: Image to Painting and Inspyrenet Assistant Nodes
- Base VRAM Footprint:
- 4096 MB (8 GB Tier)
- Primary Dependencies:
- numpy, opencv-python, torch
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/Isi-dev/ComfyUI-Img2PaintingAssistant
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
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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.
numpy
opencv-python
torchInteractive Setup & Dependency Resolver
# Loading command...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
How much VRAM does Image to Painting and Inspyrenet Assistant Nodes take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Image to Painting and Inspyrenet Assistant Nodes runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
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.