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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# flake8: noqa
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from ...utils import (
BaseOutput,
OptionalDependencyNotAvailable,
is_fastdeploy_available,
is_k_diffusion_available,
is_paddle_available,
is_paddlenlp_available,
)
@dataclass
class StableDiffusionPipelineOutput(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.
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: Union[List[PIL.Image.Image], np.ndarray]
nsfw_content_detected: Optional[List[bool]]
try:
if not (is_paddlenlp_available() and is_paddle_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils.dummy_paddle_and_paddlenlp_objects import (
StableDiffusionDepth2ImgPipeline,
)
else:
from .pipeline_stable_diffusion_depth2img import StableDiffusionDepth2ImgPipeline
if is_paddlenlp_available() and is_paddle_available():
from .pipeline_cycle_diffusion import CycleDiffusionPipeline
from .pipeline_stable_diffusion import StableDiffusionPipeline
from .pipeline_stable_diffusion_all_in_one import StableDiffusionPipelineAllinOne
from .pipeline_stable_diffusion_img2img import StableDiffusionImg2ImgPipeline
from .pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipeline
from .pipeline_stable_diffusion_inpaint_legacy import (
StableDiffusionInpaintPipelineLegacy,
)
from .pipeline_stable_diffusion_mega import StableDiffusionMegaPipeline
from .pipeline_stable_diffusion_upscale import StableDiffusionUpscalePipeline
from .safety_checker import StableDiffusionSafetyChecker
try:
if not (is_paddlenlp_available() and is_paddle_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils.dummy_paddle_and_paddlenlp_objects import (
StableDiffusionImageVariationPipeline,
)
else:
from .pipeline_stable_diffusion_image_variation import (
StableDiffusionImageVariationPipeline,
)
try:
if not (is_paddle_available() and is_paddlenlp_available() and is_k_diffusion_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ...utils.dummy_paddle_and_paddlenlp_and_k_diffusion_objects import * # noqa F403
else:
from .pipeline_stable_diffusion_k_diffusion import StableDiffusionKDiffusionPipeline
if is_paddlenlp_available() and is_fastdeploy_available():
from .pipeline_fastdeploy_stable_diffusion import FastDeployStableDiffusionPipeline
from .pipeline_fastdeploy_stable_diffusion_img2img import (
FastDeployStableDiffusionImg2ImgPipeline,
)
from .pipeline_fastdeploy_stable_diffusion_inpaint import (
FastDeployStableDiffusionInpaintPipeline,
)
from .pipeline_fastdeploy_stable_diffusion_inpaint_legacy import (
FastDeployStableDiffusionInpaintPipelineLegacy,
)
from .pipeline_fastdeploy_stable_diffusion_mega import (
FastDeployStableDiffusionMegaPipeline,
)
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