ComfyUI-FlowMatching-Upscaler

Progressive upscaling node for flow-matching models that incrementally doubles resolution with flow-consistent re-noising, denoising, and skip residual blending to preserve composition.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-FlowMatching-Upscaler requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ 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-FlowMatching-Upscaler requires installing the following Python package dependencies: aiohttp>=3.9, einops>=0.6, numpy>=2.0, torch>=2.1. This node specifically requires PyTorch version 2.1 or newer.

requirements.txt
aiohttp>=3.9
einops>=0.6
numpy>=2.0
torch>=2.1

🛠️ 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 2.1+.

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