✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI

By augment-libView on GitHub →

✨ augment Vectorize — PNG to SVG vectorizer for ComfyUI. Convert raster images, logos, and icons into clean scalable vector graphics. A professional vectorization tool built directly into your ComfyUI workflow via the Augment Studio API with automatic job polling and SVG output. Ideal for logo design, brand asset pipelines, and any workflow that needs crisp vector conversion. Includes built-in flow control trigger and wait nodes for chaining multi-step pipelines. Get your API key at https://augmentstudio.app/pricing

How much VRAM does ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI require?

Direct Answer: The ComfyUI node ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI 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.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI?

Direct Answer: Running ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI requires installing the following Python package dependencies: numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
numpy>=1.19.0
pillow>=8.0.0
requests>=2.25.0
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 Substance Designer Integration Plugin
by jasonjgardner128MB VRAM
Augment — Design Nodes for ComfyUI
by augment-lib256MB VRAM
upscale-pro
by augment-lib3.0GB VRAM
ComfyUI API Image Edit
by aiaiaikkk128MB VRAM
ComfyUI ASDF Pixel Sort Nodes
by A043-studios128MB VRAM

Frequently Asked Questions

How much VRAM does ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI require?

✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI 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 ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI 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 PyTorch version does ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI need?

✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI 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 ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI?

To run ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI, you need to install: numpy>=1.19.0, pillow>=8.0.0, requests>=2.25.0, 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 ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI?

✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI 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 ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI in ComfyUI?

To install ✨ augment Vectorize Pro - PNG to SVG Vectorizer for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/augment-lib/vectorize-pro, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.