Extensions/ComfyUI-SimpleTunerFlux2
ComfyUI Extension

ComfyUI-SimpleTunerFlux2

ComfyUI nodes for using SimpleTuner-trained Flux 2 LoRA models. SimpleTuner's Flux 2 architecture uses fused layers, making its LoRAs incompatible with standard ComfyUI…

By flowers6421·Created 8 months ago·Updated 8 months ago· 1
flowers6421/ComfyUI-SimpleTunerFlux2
Nodes5
On cloudLocal install
CategorySimpleTuner/Flux2
Stars1
Updated8 months ago
Readme

ComfyUI-SimpleTunerFlux2

ComfyUI nodes for using SimpleTuner-trained Flux 2 LoRA models.

SimpleTuner's Flux 2 architecture uses fused to_qkv_mlp_proj layers, making its LoRAs incompatible with standard ComfyUI Flux nodes. This package wraps SimpleTuner's pipeline directly.

Installation

cd ComfyUI/custom_nodes
git clone --recursive https://github.com/flowers6421/ComfyUI-SimpleTunerFlux2.git
cd ComfyUI-SimpleTunerFlux2
./install.sh  # Linux/macOS
# or
python install.py  # Windows

Nodes

| Node | Description | |------|-------------| | Load Flux 2 Pipeline | Load base Flux 2 model | | Load LoRA | Load SimpleTuner-trained LoRA | | Sample | Generate images | | Unload LoRA | Remove LoRA from pipeline | | Select LoRA | Browse available LoRAs |

Basic Workflow

[Load Flux 2 Pipeline] → [Load LoRA] → [Sample] → [Preview Image]

LoRA Paths

Place your trained LoRAs in:

  • SimpleTuner/output/<project>/checkpoint-<step>/pytorch_lora_weights.safetensors
  • ComfyUI/models/loras/
  • Or use absolute path in the loader node

Requirements

  • Python 3.10+
  • PyTorch with CUDA
  • ~24GB VRAM for Flux 2

License

MIT