mirror of
https://github.com/modelscope/modelscope.git
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58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import cv2
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.multi_modal import FreeUTextToImagePipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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class ImageEditingTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.text_to_image_synthesis
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self.model_id = 'damo/multi-modal_freeu_stable_diffusion'
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prompt = 'a photo of a running corgi' # prompt
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self.inputs = {'prompt': prompt}
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self.output_image_path = './result.png'
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self.base_model = 'AI-ModelScope/stable-diffusion-v2-1'
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self.freeu_params = {
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'b1': 1.4,
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'b2': 1.6,
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's1': 0.9,
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's2': 0.2
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} # for SD2.1
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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cache_path = snapshot_download(self.model_id)
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pipeline = FreeUTextToImagePipeline(cache_path)
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pipeline.group_key = self.task
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synthesized_img = pipeline(
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input=self.inputs)[OutputKeys.OUTPUT_IMGS] # BGR
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cv2.imwrite(self.output_image_path, synthesized_img)
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print('FreeU pipeline: the synthesized image path is {}'.format(
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self.output_image_path))
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipeline_ins = pipeline(
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task=Tasks.text_to_image_synthesis,
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model=self.model_id,
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base_model=self.base_model,
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freeu_params=self.freeu_params)
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synthesized_img = pipeline_ins(
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self.inputs)[OutputKeys.OUTPUT_IMGS] # BGR
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cv2.imwrite(self.output_image_path, synthesized_img)
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print('FreeU pipeline: the synthesized image path is {}'.format(
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self.output_image_path))
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if __name__ == '__main__':
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unittest.main()
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