Spaces:

diffusers-modular
/

flux3-image-klein-bbox

Running on Zero

flux3-image-klein-bbox / diffusers /pipelines /deprecated /semantic_stable_diffusion /pipeline_output.py

FLUX.3 layout-control canvas (custom HTML) — initial

3db1cbc verified 23 days ago

773 Bytes

from dataclasses import dataclass

import numpy as np
import PIL.Image

from ....utils import BaseOutput


@dataclass
class SemanticStableDiffusionPipelineOutput(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: list[PIL.Image.Image] | np.ndarray
    nsfw_content_detected: list[bool] | None

	from dataclasses import dataclass

	import numpy as np
	import PIL.Image

	from ....utils import BaseOutput


	@dataclass
	class SemanticStableDiffusionPipelineOutput(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: list[PIL.Image.Image] \| np.ndarray
	nsfw_content_detected: list[bool] \| None