ComfyUI-seam-carving

By spinagonView on GitHub →

Nodes: Image Resize (seam carving). Seam carving (image resize) for ComfyUI. Based on [a/https://github.com/li-plus/seam-carving](https://github.com/li-plus/seam-carving). With seam carving algorithm, the image could be intelligently resized while keeping the important contents undistorted. The carving process could be further guided, so that an object could be removed from the image without apparent artifacts.

How much VRAM does ComfyUI-seam-carving require?

Direct Answer: The ComfyUI node ComfyUI-seam-carving 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!

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 ComfyUI-seam-carving?

Direct Answer: Running ComfyUI-seam-carving requires installing the following Python package dependencies: seam-carving. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
seam-carving

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:

0x-jerry/Rembg Background Removal Node for ComfyUI
by 0x-jerry128MB VRAM
A8R8 ComfyUI Nodes
by ramyma128MB VRAM
AI4ArtsEd Nodes
by joeriben128MB VRAM
AIFSH/ComfyUI-AuraSR
by AIFSH128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-seam-carving require?

ComfyUI-seam-carving 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 ComfyUI-seam-carving 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 Python packages are required for ComfyUI-seam-carving?

To run ComfyUI-seam-carving, you need to install: seam-carving. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-seam-carving?

ComfyUI-seam-carving 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 ComfyUI-seam-carving in ComfyUI?

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