flux2-resolution-guard

By xmarreView on GitHub →

FLUX.2 high-resolution drift correction and ComfyUI node pack

How much VRAM does flux2-resolution-guard require?

Direct Answer: The ComfyUI node flux2-resolution-guard requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ VRAM
Low VRAM Mode:
✗ Not 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

What Python packages are required for flux2-resolution-guard?

Direct Answer: Running flux2-resolution-guard requires installing the following Python package dependencies: numpy>=1.26, pillow>=10.0, pyyaml>=6.0, torch>=2.1. This node specifically requires PyTorch version 2.1 or newer.

requirements.txt
numpy>=1.26
pillow>=10.0
pyyaml>=6.0
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...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-Flux2Klein-Conditioning-Toolkit
by xmarre12.0GB VRAM
ComfyUI-StableManifoldCompander
by xmarre12.0GB VRAM
Atom_AI
by AtomAI-GR12.0GB VRAM
Bawk Nodes Collection
by juddisjudd12.0GB VRAM
Bobs_Latent_Optimizer
by bobsblazed12.0GB VRAM

Frequently Asked Questions

How much VRAM does flux2-resolution-guard require?

flux2-resolution-guard requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run flux2-resolution-guard on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What PyTorch version does flux2-resolution-guard need?

flux2-resolution-guard requires the following PyTorch-related packages: torch>=2.1. 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 flux2-resolution-guard?

To run flux2-resolution-guard, you need to install: numpy>=1.26, pillow>=10.0, pyyaml>=6.0, torch>=2.1. You can install these using pip or add them to your requirements.txt file.

How do I install flux2-resolution-guard in ComfyUI?

To install flux2-resolution-guard: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/xmarre/FLUX.2-Resolution-Guard, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.