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 Flux nodes. (Description by CC)
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-SimpleTunerFlux2 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.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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Python Dependencies
Direct Answer: Running ComfyUI-SimpleTunerFlux2 requires installing the following Python package dependencies: accelerate>=0.27.0, diffusers>=0.28.0, ftfy, hf_transfer, numpy>=1.24.0, peft>=0.10.0, pillow>=9.0.0, py3langid, safetensors>=0.4.0, torch>=2.0.0, transformers>=4.38.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.27.0
diffusers>=0.28.0
ftfy
hf_transfer
numpy>=1.24.0
peft>=0.10.0
pillow>=9.0.0
py3langid
safetensors>=0.4.0
torch>=2.0.0
transformers>=4.38.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families: