Flux blocks patcher sampler

This is an (very) advanced and (very) experimental custom node for the ComfyUI. It allows you to iteratively change the blocks weights of Flux models and check the difference each value makes.

How much VRAM does Flux blocks patcher sampler require?

Direct Answer: The ComfyUI node Flux blocks patcher sampler 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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Compatible Foundations

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

Frequently Asked Questions

How much VRAM does Flux blocks patcher sampler require?

Flux blocks patcher sampler 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 Flux blocks patcher sampler 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

How do I install Flux blocks patcher sampler in ComfyUI?

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