Olm Sketch for ComfyUI

By o-l-l-iView on GitHub →

An interactive sketching and drawing node for ComfyUI with stylus/pen support – built for fast, intuitive scribbling directly inside your workflows, geared towards ControlNet-style workflows which utilize scribbles and line art.

How much VRAM does Olm Sketch for ComfyUI require?

Direct Answer: The ComfyUI node Olm Sketch for ComfyUI requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ 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 Olm Sketch for ComfyUI?

Direct Answer: Running Olm Sketch for ComfyUI requires installing the following Python package dependencies: numpy>=1.26.4, scipy>=1.11.4, torch>=2.1.0. This node specifically requires PyTorch version 2.1.0 or newer.

requirements.txt
numpy>=1.26.4
scipy>=1.11.4
torch>=2.1.0

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 2.1.0+.

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:

Olm DragCrop for ComfyUI
by o-l-l-i128MB VRAM
Olm Curve Editor for ComfyUI
by o-l-l-i128MB VRAM
Olm LUT Node for ComfyUI
by o-l-l-i128MB VRAM
ComfyUI-Olm-Liquify
by o-l-l-i256MB VRAM
Olm Resolution Picker for ComfyUI
by o-l-l-i256MB VRAM

Frequently Asked Questions

How much VRAM does Olm Sketch for ComfyUI require?

Olm Sketch for ComfyUI requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run Olm Sketch for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What PyTorch version does Olm Sketch for ComfyUI need?

Olm Sketch for ComfyUI requires the following PyTorch-related packages: torch>=2.1.0. 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 Olm Sketch for ComfyUI?

To run Olm Sketch for ComfyUI, you need to install: numpy>=1.26.4, scipy>=1.11.4, torch>=2.1.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Olm Sketch for ComfyUI?

Olm Sketch 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 Olm Sketch for ComfyUI in ComfyUI?

To install Olm Sketch for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/o-l-l-i/ComfyUI-Olm-Sketch, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.