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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,
)
@dataclass
class StableDiffusionSafePipelineOutput(BaseOutput):
"""
Output class for Safe 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)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
nsfw_content_detected (`List[bool]`)
List of flags denoting whether the corresponding generated image likely represents "not-safe-for-work"
(nsfw) content, or `None` if safety checking could not be performed.
images (`List[PIL.Image.Image]` or `np.ndarray`)
List of denoised PIL images that were flagged by the safety checker any may contain "not-safe-for-work"
(nsfw) content, or `None` if no safety check was performed or no images were flagged.
applied_safety_concept (`str`)
The safety concept that was applied for safety guidance, or `None` if safety guidance was disabled
"""
images: Union[List[PIL.Image.Image], np.ndarray]
nsfw_content_detected: Optional[List[bool]]
unsafe_images: Optional[Union[List[PIL.Image.Image], np.ndarray]]
applied_safety_concept: Optional[str]
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