add training command

README.md

@@ -54,6 +54,15 @@ Weights for this model are available in Safetensors format.
 
 [Download](/piebro/factorio-blueprint-visualizations-sdxl-lora/tree/main) them in the Files & versions tab.
 
+
+## Replication
+
+This is the command I used using for training the lora, using this [file](https://raw.githubusercontent.com/huggingface/diffusers/1477865e4838d887bb93750dc325e10f1e6ae534/examples/dreambooth/train_dreambooth_lora_sdxl.py).
+
+```bash
+accelerate launch train_dreambooth_lora_sdxl.py --pretrained_model_name_or_path=stabilityai/stable-diffusion-xl-base-1.0 --pretrained_vae_model_name_or_path=madebyollin/sdxl-vae-fp16-fix --instance_data_dir=factorio_lora_images --instance_prompt='factorio' --output_dir=factorio_lora --seed=0 --resolution=1024 --train_batch_size=2 --max_train_steps=500 --checkpointing_steps=100 --gradient_accumulation_steps=2 --gradient_checkpointing --learning_rate=1e-4 --lr_scheduler=constant --lr_warmup_steps=0 --use_8bit_adam --mixed_precision=fp16
+```
+
 ## Usage
 
 ```python
@@ -80,4 +89,4 @@ image = pipe(
     num_inference_steps=50,
     cross_attention_kwargs={"scale": lora_scale}
 ).images[0]
-```
+```