ComfyUI-IO-Helpers

By austinbrown34View on GitHub →

A custom nodes package for ComfyUI that enhances workflow flexibility by providing specialized nodes for saving and loading intermediate data (encoded prompts and sampled latents) in multiple formats. This package leverages helper classes for file I/O, supports gzip compression for efficient storage, and integrates progress feedback via a progress bar to improve user experience during long operations.

How much VRAM does ComfyUI-IO-Helpers require?

Direct Answer: The ComfyUI node ComfyUI-IO-Helpers 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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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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🚀 Deploy on RunPod

What Python packages are required for ComfyUI-IO-Helpers?

Direct Answer: Running ComfyUI-IO-Helpers requires installing the following Python package dependencies: aiohttp, dill>=0.3.3, numpy>=1.19, pillow, requests, safetensors>=0.1.0, torch>=1.7. This node specifically requires PyTorch version 1.7 or newer.

requirements.txt
aiohttp
dill>=0.3.3
numpy>=1.19
pillow
requests
safetensors>=0.1.0
torch>=1.7

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 1.7+.

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-RealESRGAN_Upscaler
by zentrocdot3.0GB VRAM
ComfyUI-Simple_Image_To_Prompt
by zentrocdot256MB VRAM
BrushNet
by nullquant8.0GB VRAM
Civitai Prompt Stats Node
by BAIKEMARK256MB VRAM
ComfyUI Easy Use
by yolain128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-IO-Helpers require?

ComfyUI-IO-Helpers 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 ComfyUI-IO-Helpers 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 ComfyUI-IO-Helpers need?

ComfyUI-IO-Helpers requires the following PyTorch-related packages: torch>=1.7. 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-IO-Helpers?

To run ComfyUI-IO-Helpers, you need to install: aiohttp, dill>=0.3.3, numpy>=1.19, pillow, requests, safetensors>=0.1.0, torch>=1.7. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-IO-Helpers?

ComfyUI-IO-Helpers 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-IO-Helpers in ComfyUI?

To install ComfyUI-IO-Helpers: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/austinbrown34/ComfyUI-IO-Helpers, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.