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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]
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