chunk_content: model, you can use it to generate images: 
  
  
  	Copied
  prompt = "sks dog playing fetch in the park"
  negative_prompt = "low quality, blurry, unfinished"
  image = pipe(prompt, num_inference_steps=50, guidance_scale=7, negative_prompt=negative_prompt).images[0]
  image.save("DESTINATION_PATH_FOR_THE_IMAGE")
  
  
  Multi-adapter inference
  	
  With PEFT you can combine multiple adapters for inference. In the previous example you have fine-tuned Stable Diffusion