ComfyUI Flux Accelerator

By discus0434View on GitHub →

ComfyUI Flux Accelerator is a custom node for ComfyUI that accelerates Flux.1 image generation, just by using this node.

How much VRAM does ComfyUI Flux Accelerator require?

Direct Answer: The ComfyUI node ComfyUI Flux Accelerator 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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI Flux Accelerator?

Direct Answer: Running ComfyUI Flux Accelerator requires installing the following Python package dependencies: torchao, triton, xformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
torchao
triton
xformers

Interactive Setup & Dependency Resolver

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

ApplySpectralLock
by lookuters2212.0GB VRAM
AspectAwareTiling
by huimengshiguang12.0GB 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 ComfyUI Flux Accelerator require?

ComfyUI Flux Accelerator 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 Flux Accelerator 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 Flux Accelerator need?

ComfyUI Flux Accelerator requires the following PyTorch-related packages: torchao. 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 Flux Accelerator?

To run ComfyUI Flux Accelerator, you need to install: torchao, triton, xformers. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI Flux Accelerator in ComfyUI?

To install ComfyUI Flux Accelerator: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/discus0434/comfyui-flux-accelerator, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.