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flux3-image-klein-bbox / diffusers /pipelines /chroma /pipeline_output.py

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

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from dataclasses import dataclass

import numpy as np
import PIL.Image

from ...utils import BaseOutput


@dataclass
class ChromaPipelineOutput(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)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
    """

    images: list[PIL.Image.Image] | np.ndarray

	from dataclasses import dataclass

	import numpy as np
	import PIL.Image

	from ...utils import BaseOutput


	@dataclass
	class ChromaPipelineOutput(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)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
	"""

	images: list[PIL.Image.Image] \| np.ndarray