Buckets:
| # DreamBooth | |
| [DreamBooth](https://huggingface.co/papers/2208.12242) 通过微调完整权重，将预训练模型个性化到特定主体（例如你的猫），并在提示词中将该主体绑定到一个唯一标识符（`sks cat`）。之后，你可以在新的场景、光照、姿势和风格中生成该主体。 | |
| DreamBooth 检查点通常有几 GB 大，因为它们包含完整的模型权重。请使用 [from_pretrained()](/docs/diffusers/v0.43.0/zh/api/pipelines/overview#diffusers.DiffusionPipeline.from_pretrained) 加载它们，并在提示词中包含唯一标识符以触发生成。 | |
| ```py | |
| import torch | |
| from diffusers import AutoPipelineForText2Image | |
| pipeline = AutoPipelineForText2Image.from_pretrained( | |
| "sd-dreambooth-library/herge-style", | |
| dtype=torch.float16 | |
| ).to("cuda") # or "mps", "xpu", "cpu" | |
| prompt = "A cute sks herge_style brown bear eating a slice of pizza, stunning color scheme, masterpiece, illustration" | |
| pipeline(prompt).images[0] | |
| ``` | |
| 要训练自己的检查点，请参阅 [训练 DreamBooth](../training/dreambooth)。 | |
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