# DreamBooth [DreamBooth](https://huggingface.co/papers/2208.12242) is a method for generating personalized images of a specific instance. It works by fine-tuning the model on 3-5 images of the subject (for example, a cat) that is associated with a unique identifier (`sks cat`). This allows you to use `sks cat` in your prompt to trigger the model to generate images of your cat in different settings, lighting, poses, and styles. DreamBooth checkpoints are typically a few GBs in size because it contains the full model weights. Load the DreamBooth checkpoint with [`~DiffusionPipeline.from_pretrained`] and include the unique identifier in the prompt to activate its generation. ```py import torch from diffusers import AutoPipelineForText2Image pipeline = AutoPipelineForText2Image.from_pretrained( "sd-dreambooth-library/herge-style", torch_dtype=torch.float16 ).to("cuda") prompt = "A cute sks herge_style brown bear eating a slice of pizza, stunning color scheme, masterpiece, illustration" pipeline(prompt).images[0] ```