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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11437035 * stablediffusion io format * text2img task format to output_imgs and numpy list * other text2img io format
39 lines
1.4 KiB
Python
39 lines
1.4 KiB
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.demo_utils import DemoCompatibilityCheck
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from modelscope.utils.test_utils import test_level
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class ChineseStableDiffusionTest(unittest.TestCase, DemoCompatibilityCheck):
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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_chinese_stable_diffusion_v1.0'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_default(self):
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pipe = pipeline(task=self.task, model=self.model_id)
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output = pipe({'text': '中国山水画'})
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cv2.imwrite('result.png', output['output_imgs'][0])
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print('Image saved to result.png')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_dpmsolver(self):
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from diffusers.schedulers import DPMSolverMultistepScheduler
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pipe = pipeline(task=self.task, model=self.model_id)
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pipe.pipeline.scheduler = DPMSolverMultistepScheduler.from_config(
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pipe.pipeline.scheduler.config)
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output = pipe({'text': '中国山水画', 'num_inference_steps': 25})
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cv2.imwrite('result2.png', output['output_imgs'][0])
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print('Image saved to result2.png')
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if __name__ == '__main__':
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unittest.main()
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