Train an SDXL LoRA
Fine-tune a LoRA adapter on Stable Diffusion XL — the most common LoRA training target for style and subject customization in ComfyUI workflows.
Estimated $2–$8 per training run · 15–45 min
What inputs you need
- 10–30 training images
- Captions (auto or manual)
- Training config (rank, steps, learning rate)
What Badgr returns
- Trained LoRA safetensors file
- Training loss curve / checkpoint log
- Sample generations at checkpoints
Recommended GPU routes
Estimated cost: $2–$8 per training run · Estimated runtime: 15–45 min
Example command
badgr run "python train_lora.py --base sdxl --config sdxl_lora.yaml" \
--gpu A100_40GB \
--max-cost 8 \
--max-runtime 60Common setup failures Badgr avoids
Overfitting on a small dataset — default config caps steps relative to image count and logs sample generations each checkpoint so you can catch it early.
Dataset upload timeout on job start — pre-stage images to object storage and pass a URL instead of uploading inline.
Ready to run this?
Launch from the dashboard, CLI, or Compute API. Max-cost protection included.