37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from dataclasses import dataclass
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from typing import List, Union
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import numpy as np
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import PIL.Image
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import torch
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from ...utils import BaseOutput
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@dataclass
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class FluxPipelineOutput(BaseOutput):
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"""
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Output class for Stable Diffusion pipelines.
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Args:
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images (`List[PIL.Image.Image]` or `np.ndarray`)
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List of denoised PIL images of length `batch_size` or numpy array of shape `(batch_size, height, width,
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num_channels)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
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"""
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images: Union[List[PIL.Image.Image], np.ndarray]
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@dataclass
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class FluxPriorReduxPipelineOutput(BaseOutput):
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"""
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Output class for Flux Prior Redux pipelines.
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Args:
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images (`List[PIL.Image.Image]` or `np.ndarray`)
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List of denoised PIL images of length `batch_size` or numpy array of shape `(batch_size, height, width,
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num_channels)`. PIL images or numpy array present the denoised images of the diffusion pipeline.
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"""
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prompt_embeds: torch.Tensor
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pooled_prompt_embeds: torch.Tensor
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