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from dataclasses import dataclass |
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from typing import List, Union |
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import numpy as np |
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import PIL.Image |
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from diffusers.utils import BaseOutput |
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@dataclass |
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class SiDPipelineOutput(BaseOutput): |
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""" |
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Output class for Stable Diffusion pipelines. |
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Args: |
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images (`List[PIL.Image.Image]` or `np.ndarray`) |
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List of denoised PIL images of length `batch_size` or numpy array of shape `(batch_size, height, width, |
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num_channels)`. PIL images or numpy array present the denoised images of the diffusion pipeline. |
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""" |
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images: Union[List[PIL.Image.Image], np.ndarray] |
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