ComfyUI ModelScope API Node

This is a universal custom node for ComfyUI that supports both Text-to-Image and Image-to-Image generation by calling various models via the official ModelScope API.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI ModelScope API Node 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!

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

Python Dependencies

Direct Answer: Running ComfyUI ModelScope API Node requires installing the following Python package dependencies: httpx>=0.24.0, numpy>=1.20.0, openai>=1.0.0, pillow>=8.0.0, requests>=2.25.0, socksio>=1.0.0, torch>=1.9.0. This node specifically requires PyTorch version 1.9.0 or newer.

requirements.txt
httpx>=0.24.0
numpy>=1.20.0
openai>=1.0.0
pillow>=8.0.0
requests>=2.25.0
socksio>=1.0.0
torch>=1.9.0

🛠️ 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 1.9.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...