36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
|
# Copyright 2025 HiDream-ai Team and 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.
|
||
|
|
|
||
|
|
from dataclasses import dataclass
|
||
|
|
from typing import List, Union
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
import PIL.Image
|
||
|
|
|
||
|
|
from ...utils import BaseOutput
|
||
|
|
|
||
|
|
|
||
|
|
@dataclass
|
||
|
|
class HiDreamImagePipelineOutput(BaseOutput):
|
||
|
|
"""
|
||
|
|
Output class for HiDreamImage 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: Union[List[PIL.Image.Image], np.ndarray]
|