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b8c861f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | from dataclasses import dataclass
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class IFPipelineOutput(BaseOutput):
r"""
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)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
nsfw_detected (`list[bool]`):
list of flags denoting whether the corresponding generated image likely represents "not-safe-for-work"
(nsfw) content or a watermark. `None` if safety checking could not be performed.
watermark_detected (`list[bool]`):
list of flags denoting whether the corresponding generated image likely has a watermark. `None` if safety
checking could not be performed.
"""
images: list[PIL.Image.Image] | np.ndarray
nsfw_detected: list[bool] | None
watermark_detected: list[bool] | None
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