ComfyUI_pytorch360convert

By ProGamerGovView on GitHub →

A collection of custom nodes for working with and converting between and working with 360 degree equirectangular images, cubemap, and perspective images. Also includes Circular padding Conv2d options for models and VAEs, along with nodes to fix seams and polar artifacts. Panoramic 360 images are also sometimes known as VR photography (virtual reality), HDRI environments (ex: skyboxes), image spheres, spherical images, 360 pano.

How much VRAM does ComfyUI_pytorch360convert require?

Direct Answer: The ComfyUI node ComfyUI_pytorch360convert 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 ComfyUI_pytorch360convert?

Direct Answer: Running ComfyUI_pytorch360convert requires installing the following Python package dependencies: pytorch360convert. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
pytorch360convert

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:

ComfyUI GCP Cloud Storage Integration
by koirpraw128MB VRAM
ComfyUI Workspace Manager - Comfyspace
by 11cafe256MB VRAM
ComfyUI-3D-Convert
by nsdtcloud3d256MB VRAM
ComfyUI-CameraPack
by PozzettiAndrea256MB VRAM
ComfyUI-LoRA-Assistant
by Bellzs128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_pytorch360convert require?

ComfyUI_pytorch360convert 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_pytorch360convert 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 ComfyUI_pytorch360convert need?

ComfyUI_pytorch360convert requires the following PyTorch-related packages: pytorch360convert. 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 ComfyUI_pytorch360convert?

To run ComfyUI_pytorch360convert, you need to install: pytorch360convert. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_pytorch360convert?

ComfyUI_pytorch360convert 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_pytorch360convert in ComfyUI?

To install ComfyUI_pytorch360convert: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ProGamerGov/ComfyUI_pytorch360convert, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.