Tiled Image Generator for ComfyUI

By rickyarsView on GitHub →

A ComfyUI node that generates tiled image compositions with overlapping regions. This approach creates coherent compositions by using the edges of each tile as seeds for neighboring tiles, resulting in seamless transitions.

How much VRAM does Tiled Image Generator for ComfyUI require?

Direct Answer: The ComfyUI node Tiled Image Generator for ComfyUI 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 Tiled Image Generator for ComfyUI?

Direct Answer: Running Tiled Image Generator for ComfyUI requires installing the following Python package dependencies: numpy>=1.22.0, pillow>=9.0.0, torch>=1.12.0. This node specifically requires PyTorch version 1.12.0 or newer.

requirements.txt
numpy>=1.22.0
pillow>=9.0.0
torch>=1.12.0

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 1.12.0+.

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 S3 Save Node
by georgitsenov128MB VRAM
AIYang_TripleAPI
by AlexXia007256MB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does Tiled Image Generator for ComfyUI require?

Tiled Image Generator for ComfyUI 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 Tiled Image Generator for ComfyUI 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 Tiled Image Generator for ComfyUI need?

Tiled Image Generator for ComfyUI requires the following PyTorch-related packages: torch>=1.12.0. 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 Tiled Image Generator for ComfyUI?

To run Tiled Image Generator for ComfyUI, you need to install: numpy>=1.22.0, pillow>=9.0.0, torch>=1.12.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Tiled Image Generator for ComfyUI?

Tiled Image Generator 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 Tiled Image Generator for ComfyUI in ComfyUI?

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