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0db0ec5586
1. Merge(add) daily regression from github PR (daily_regression.yaml) 2. Add lora stable diffusion from github PR Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13010802 * fix: device arg not work, rename device to ngpu (#272) * Correcting the lora stable diffusion example script (#300) * add vad model and punc model in README.md add vad model and punc model * Merge pull request #302 from modelscope/langgz-patch-1 add vad model and punc model in README.md * add 1.6 * modify ignore * Merge pull request #307 from modelscope/dev_rs_16 Merge release 1.6 * undo datetime to 2099 * Merge pull request #311 from modelscope/fix_master_version undo datetime to 2099 * add daily regression workflow * modify workflow name * fix cron format issue * lora trainer * Merge pull request #315 from liuyhwangyh/add_regression_workflow add daily regression workflow
34 lines
955 B
Python
34 lines
955 B
Python
# 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.pipelines import pipeline
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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 DiffusersStableDiffusionTest(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 = 'shadescript/stable-diffusion-2-1-dev'
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test_input = 'a photo of an astronaut riding a horse on mars'
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run(self):
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diffusers_pipeline = pipeline(task=self.task, model=self.model_id)
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output = diffusers_pipeline({
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'prompt': self.test_input,
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'height': 512,
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'width': 512
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})
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cv2.imwrite('output.png', output['output_imgs'][0])
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print('Image saved to output.png')
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if __name__ == '__main__':
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unittest.main()
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