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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
71 lines
2.6 KiB
Python
71 lines
2.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import numpy as np
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from modelscope.models import Model
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from modelscope.outputs import OutputKeys
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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 TextToImageSynthesisTest(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/cv_diffusion_text-to-image-synthesis_tiny'
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test_text = {
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'text': '宇航员',
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'generator_ddim_timesteps': 2,
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'upsampler_256_ddim_timesteps': 2,
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'upsampler_1024_ddim_timesteps': 2,
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'debug': True
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}
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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pipe_line_text_to_image_synthesis = pipeline(
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task=Tasks.text_to_image_synthesis, model=model)
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img = pipe_line_text_to_image_synthesis(
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self.test_text)[OutputKeys.OUTPUT_IMGS][0]
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print(np.sum(np.abs(img)))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipe_line_text_to_image_synthesis = pipeline(
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task=Tasks.text_to_image_synthesis, model=self.model_id)
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img = pipe_line_text_to_image_synthesis(
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self.test_text)[OutputKeys.OUTPUT_IMGS][0]
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print(np.sum(np.abs(img)))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_default_model(self):
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pipe_line_text_to_image_synthesis = pipeline(
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task=Tasks.text_to_image_synthesis)
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img = pipe_line_text_to_image_synthesis(
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self.test_text)[OutputKeys.OUTPUT_IMGS][0]
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print(np.sum(np.abs(img)))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_model_from_modelhub_dpm_solver(self):
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self.test_text.update({'solver': 'dpm-solver'})
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model = Model.from_pretrained(self.model_id)
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pipe_line_text_to_image_synthesis = pipeline(
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task=Tasks.text_to_image_synthesis, model=model)
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img = pipe_line_text_to_image_synthesis(
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self.test_text)[OutputKeys.OUTPUT_IMGS][0]
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print(np.sum(np.abs(img)))
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@unittest.skip('demo compatibility test is only enabled on a needed-basis')
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def test_demo_compatibility(self):
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self.compatibility_check()
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if __name__ == '__main__':
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unittest.main()
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