comfyui-flux2fun-controlnet

By bryanmcguireView on GitHub →

ComfyUI implementation of FLUX.2-dev-Fun-Controlnet-Union from Alibaba's VideoX-Fun

How much VRAM does comfyui-flux2fun-controlnet require?

Direct Answer: The ComfyUI node comfyui-flux2fun-controlnet 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

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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-flux2fun-controlnet?

Direct Answer: Running comfyui-flux2fun-controlnet requires installing the following Python package dependencies: torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
torch>=2.0.0

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 2.0.0+.

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:

Kraken Tools
by KrakenUnbound12.0GB VRAM
Refocus - Generative Refocusing
by EricRollei12.0GB VRAM
ComfyUI Star DyPE
by Starnodes202412.0GB VRAM
ComfyUI-Omini-Kontext
by tercumantanumut12.0GB VRAM
ComfyUI-SimpleTunerFlux2
by flowers642112.0GB VRAM

Frequently Asked Questions

How much VRAM does comfyui-flux2fun-controlnet require?

comfyui-flux2fun-controlnet 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 comfyui-flux2fun-controlnet 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 comfyui-flux2fun-controlnet need?

comfyui-flux2fun-controlnet requires the following PyTorch-related packages: torch>=2.0.0. 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-flux2fun-controlnet?

To run comfyui-flux2fun-controlnet, you need to install: torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.

How do I install comfyui-flux2fun-controlnet in ComfyUI?

To install comfyui-flux2fun-controlnet: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/bryanmcguire/comfyui-flux2fun-controlnet, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.