Files
modelscope/tests/pipelines/test_diffusers_stable_diffusion.py
Wang Qiang a018cd6107 Dreambooth method for finetuning stable diffusions (#339)
* Copyright

* dreambooth

* dreambooth test trainer

* fix bugs

* pre-commit

---------

Co-authored-by: 翊靖 <yijing.wq@alibaba-inc.com>
2023-06-28 20:10:28 +08:00

34 lines
953 B
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
import cv2
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
class DiffusersStableDiffusionTest(unittest.TestCase):
def setUp(self) -> None:
self.task = Tasks.text_to_image_synthesis
self.model_id = 'shadescript/stable-diffusion-2-1-dev'
test_input = 'a photo of an astronaut riding a horse on mars'
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_run(self):
diffusers_pipeline = pipeline(task=self.task, model=self.model_id)
output = diffusers_pipeline({
'text': self.test_input,
'height': 512,
'width': 512
})
cv2.imwrite('output.png', output['output_imgs'][0])
print('Image saved to output.png')
if __name__ == '__main__':
unittest.main()