Eden.art LoRa Trainer
Maintained by Eden.art, this is a very fast, well tuned trainer for SDXL and SD15
How much VRAM does Eden.art LoRa Trainer require?
Direct Answer: The ComfyUI node Eden.art LoRa Trainer requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 8192MB (8.0GB)
- Recommended GPU:
- 12GB+ 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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What Python packages are required for Eden.art LoRa Trainer?
Direct Answer: Running Eden.art LoRa Trainer requires installing the following Python package dependencies: bitsandbytes==0.43.1, diffusers>=0.29.2, einops==0.8.0, huggingface-hub==0.23.2, invisible-watermark==0.2.0, mediapipe==0.10.14, numpy==1.26.4, omegaconf==2.3.0, openai==1.35.13, opencv-python==4.10.0.84, pandas==2.2.1, peft==0.10.0, prodigyopt==1.0, python-dotenv==1.0.1, scipy==1.14.0, setuptools==70.3.0, timm==1.0.8, tokenizers>=0.15.2, torch>=2.1.0, torchaudio>=2.1.0, torchtyping==0.1.5, torchvision>=0.16.0, transformers>=4.38.0, triton<3.2.0, ujson==5.10.0, ujson==5.10.0. This node specifically requires PyTorch version 2.1.0 or newer.
bitsandbytes==0.43.1
diffusers>=0.29.2
einops==0.8.0
huggingface-hub==0.23.2
invisible-watermark==0.2.0
mediapipe==0.10.14
numpy==1.26.4
omegaconf==2.3.0
openai==1.35.13
opencv-python==4.10.0.84
pandas==2.2.1
peft==0.10.0
prodigyopt==1.0
python-dotenv==1.0.1
scipy==1.14.0
setuptools==70.3.0
timm==1.0.8
tokenizers>=0.15.2
torch>=2.1.0
torchaudio>=2.1.0
torchtyping==0.1.5
torchvision>=0.16.0
transformers>=4.38.0
triton<3.2.0
ujson==5.10.0
ujson==5.10.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.1.0+.
# Loading PyTorch command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does Eden.art LoRa Trainer require?
Eden.art LoRa Trainer requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run Eden.art LoRa Trainer on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom
What PyTorch version does Eden.art LoRa Trainer need?
Eden.art LoRa Trainer requires the following PyTorch-related packages: torch>=2.1.0, torchaudio>=2.1.0, torchtyping==0.1.5, torchvision>=0.16.0. 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 Eden.art LoRa Trainer?
To run Eden.art LoRa Trainer, you need to install: bitsandbytes==0.43.1, diffusers>=0.29.2, einops==0.8.0, huggingface-hub==0.23.2, invisible-watermark==0.2.0, mediapipe==0.10.14, numpy==1.26.4, omegaconf==2.3.0, openai==1.35.13, opencv-python==4.10.0.84, pandas==2.2.1, peft==0.10.0, prodigyopt==1.0, python-dotenv==1.0.1, scipy==1.14.0, setuptools==70.3.0, timm==1.0.8, tokenizers>=0.15.2, torch>=2.1.0, torchaudio>=2.1.0, torchtyping==0.1.5, torchvision>=0.16.0, transformers>=4.38.0, triton<3.2.0, ujson==5.10.0, ujson==5.10.0. You can install these using pip or add them to your requirements.txt file.
How do I install Eden.art LoRa Trainer in ComfyUI?
To install Eden.art LoRa Trainer: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/edenartlab/sd-lora-trainer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.