ComfyUI-ZImageDit

By erosDiffusionView on GitHub →

Unofficial diffusers integration of the official SDNQ pipeline to run in ComfyUI. (Description by CC)

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-ZImageDit 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

Python Dependencies

Direct Answer: Running ComfyUI-ZImageDit requires installing the following Python package dependencies: diffusers>=0.35.2, quanto>=0.1.0, safetensors>=0.4.0, transformers>=4.56.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers>=0.35.2
quanto>=0.1.0
safetensors>=0.4.0
transformers>=4.56.1

🛠️ Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...