
  --lr_scheduler="constant" \
  --lr_warmup_steps=0 \
  --validation_prompts="A robot pokemon, 4k photo" \
  --report_to="wandb" \
  --push_to_hub \
  --output_dir="kandi2-decoder-pokemon-model" 
</hfoption>
</hfoptions>
Once training is finished, you can use your newly trained model for inference!
<hfoptions id="training-inference">
<hfoption id="prior model">

	  Copied from diffusers import AutoPipelineForText2Image, DiffusionPipeline
impor