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* fix pipeline builder when model is not supported * fix ci & skip --------- Co-authored-by: suluyan.sly@alibaba-inc.com <suluyan.sly@alibaba-inc.com>
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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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.test_utils import test_level
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class TextToVideoSynthesisTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.text_to_video_synthesis
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self.model_id = 'damo/text-to-video-synthesis'
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test_text = {
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'text': 'A panda eating bamboo on a rock.',
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}
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test_text_height_width = {
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'text': 'A panda eating bamboo on a rock.',
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'out_height': 256,
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'out_width': 256,
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}
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@unittest.skip
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def test_run_with_model_from_modelhub(self):
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pipe_line_text_to_video_synthesis = pipeline(
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task=self.task, model=self.model_id)
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output_video_path = pipe_line_text_to_video_synthesis(
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self.test_text)[OutputKeys.OUTPUT_VIDEO]
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print(output_video_path)
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@unittest.skip
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def test_run_modelhub_user_control(self):
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pipe_line_text_to_video_synthesis = pipeline(
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task=self.task, model=self.model_id)
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output_video_path = pipe_line_text_to_video_synthesis(
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self.test_text_height_width)[OutputKeys.OUTPUT_VIDEO]
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print(output_video_path)
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if __name__ == '__main__':
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unittest.main()
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