Simple Flux.1 Merger for ComfyUI

A custom ComfyUI node set for merging Flux.1-based models with intuitive control.
This extension provides both simplified group merging and expert per-layer control, including support for advanced difference-based merge modes. Basically the code was generated by ChatGPT.

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📦 Included Nodes

1. SimplifiedFlux1Merge

• Intuitive UI with 9 group-based sliders for merging double and single transformer blocks.
• Preserves control over top-level layers like img_in, txt_in, final_layer.
• Designed for quick and effective model blending.

2. ExpertFlux1Merge

• Fine-grained control for all 19 double_blocks, 38 single_blocks, and all top-level blocks (img_in, txt_in, etc.).
• Ideal for advanced users seeking precise model tuning.
• Includes interpolation-safe FP16/BF16 handling and memory optimization.

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🧠 Supported Merge Modes

| Mode | Description | |-------------------|-----------------------------------------------------------------------------| | standard | Linear interpolation between A and B (A * w + B * (1-w)) | | add_difference | Adds difference between B and A to A (A + w * (B - A)) | | train_difference| Adds training diff from C to A (A + w * (B - C)), mimicking LoRA learning |

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🛠 Installation

Clone or download this repository into your ComfyUI custom_nodes/ directory:

git clone https://github.com/yourname/comfyui-simplified-flux1.git

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🚀 Usage

Launch ComfyUI.

Add either:

Simplified Flux.1 Merge node

Expert Flux.1 Merge node

Connect 3 Flux.1-compatible models to model_a, model_b, and model_c.

Adjust sliders to define merge ratios.

Select merge mode and execute.

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📌 Notes

Compatible with Flux.1 and Schnell variants (if matching architecture).

Requires sufficient GPU memory; optimized for BF16.

train_difference mode requires model C to match A/B in structure.

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📜 License

MIT License

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🙏 Credits

Based on Flux.1 architecture by Black Forest Labs.

Inspired by SuperMerger.

Developed for ComfyUI advanced model merging workflows.