chunk_content: g the LoRA weights that you have created during the fine-tuning step.
  Note, if you’re running inference on the same machine, the path you specify here will be the same as OUTPUT_DIR.  
  
  
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  pipe = get_lora_sd_pipeline(Path("path-to-saved-model"), adapter_name="dog")
  Once you have the pipeline with your fine-tuned model, you can use it to generate images: 
  
  
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  prompt = "sks dog playing fetch in the park"
  negative_prompt = "low quality