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from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL.Image

from ...utils import BaseOutput, is_flax_available


@dataclass
class StableDiffusionPipelineOutput(BaseOutput):
    """

    Output class for Stable Diffusion pipelines.



    Args:

        images (`List[PIL.Image.Image]` or `np.ndarray`)

            List of denoised PIL images of length `batch_size` or NumPy array of shape `(batch_size, height, width,

            num_channels)`.

        nsfw_content_detected (`List[bool]`)

            List indicating whether the corresponding generated image contains "not-safe-for-work" (nsfw) content or

            `None` if safety checking could not be performed.

    """

    images: Union[List[PIL.Image.Image], np.ndarray]
    nsfw_content_detected: Optional[List[bool]]


if is_flax_available():
    import flax

    @flax.struct.dataclass
    class FlaxStableDiffusionPipelineOutput(BaseOutput):
        """

        Output class for Flax-based Stable Diffusion pipelines.



        Args:

            images (`np.ndarray`):

                Denoised images of array shape of `(batch_size, height, width, num_channels)`.

            nsfw_content_detected (`List[bool]`):

                List indicating whether the corresponding generated image contains "not-safe-for-work" (nsfw) content

                or `None` if safety checking could not be performed.

        """

        images: np.ndarray
        nsfw_content_detected: List[bool]