s=5000 --checkpoints_total_limit=1 \
 --learning_rate=5e-05 --lr_warmup_steps=0 \
 --conditioning_dropout_prob=0.05 \
 --mixed_precision=fp16 \
 --seed=42 

Inference
	
Once training is complete, we can perform inference:


	Copied
import PIL
import requests
import torch
from diffusers import StableDiffusionInstructPix2PixPipeline

model_id = "your_model_id"  # <- replace this
pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(model_