| import unittest |
| import importlib |
|
|
| import numpy as np |
|
|
| utils = importlib.import_module('extensions.sd-webui-controlnet.tests.utils', 'utils') |
| utils.setup_test_env() |
|
|
| from copy import copy |
| from scripts import external_code |
| from scripts import controlnet |
| from modules import scripts, ui, shared |
|
|
|
|
| class TestExternalCodeWorking(unittest.TestCase): |
| max_models = 6 |
| args_offset = 10 |
|
|
| def setUp(self): |
| self.scripts = copy(scripts.scripts_txt2img) |
| self.scripts.initialize_scripts(False) |
| ui.create_ui() |
| self.cn_script = controlnet.Script() |
| self.cn_script.args_from = self.args_offset |
| self.cn_script.args_to = self.args_offset + self.max_models |
| self.scripts.alwayson_scripts = [self.cn_script] |
| self.script_args = [None] * self.cn_script.args_from |
|
|
| self.initial_max_models = shared.opts.data.get("control_net_max_models_num", 1) |
| shared.opts.data.update(control_net_max_models_num=self.max_models) |
|
|
| self.extra_models = 0 |
|
|
| def tearDown(self): |
| shared.opts.data.update(control_net_max_models_num=self.initial_max_models) |
|
|
| def get_expected_args_to(self): |
| args_len = max(self.max_models, len(self.cn_units)) |
| return self.args_offset + args_len |
|
|
| def assert_update_in_place_ok(self): |
| external_code.update_cn_script_in_place(self.scripts, self.script_args, self.cn_units) |
| self.assertEqual(self.cn_script.args_to, self.get_expected_args_to()) |
|
|
| def test_empty_resizes_min_args(self): |
| self.cn_units = [] |
| self.assert_update_in_place_ok() |
|
|
| def test_empty_resizes_extra_args(self): |
| extra_models = 1 |
| self.cn_units = [external_code.ControlNetUnit()] * (self.max_models + extra_models) |
| self.assert_update_in_place_ok() |
|
|
|
|
| class TestControlNetUnitConversion(unittest.TestCase): |
| def setUp(self): |
| self.dummy_image = 'base64...' |
| self.input = {} |
| self.expected = external_code.ControlNetUnit() |
|
|
| def assert_converts_to_expected(self): |
| self.assertEqual(vars(external_code.to_processing_unit(self.input)), vars(self.expected)) |
|
|
| def test_empty_dict_works(self): |
| self.assert_converts_to_expected() |
|
|
| def test_image_works(self): |
| self.input = { |
| 'image': self.dummy_image |
| } |
| self.expected = external_code.ControlNetUnit(image=self.dummy_image) |
| self.assert_converts_to_expected() |
|
|
| def test_image_alias_works(self): |
| self.input = { |
| 'input_image': self.dummy_image |
| } |
| self.expected = external_code.ControlNetUnit(image=self.dummy_image) |
| self.assert_converts_to_expected() |
|
|
| def test_masked_image_works(self): |
| self.input = { |
| 'image': self.dummy_image, |
| 'mask': self.dummy_image, |
| } |
| self.expected = external_code.ControlNetUnit(image={'image': self.dummy_image, 'mask': self.dummy_image}) |
| self.assert_converts_to_expected() |
|
|
|
|
| class TestControlNetUnitImageToDict(unittest.TestCase): |
| def setUp(self): |
| self.dummy_image = utils.readImage("test/test_files/img2img_basic.png") |
| self.input = external_code.ControlNetUnit() |
| self.expected_image = external_code.to_base64_nparray(self.dummy_image) |
| self.expected_mask = external_code.to_base64_nparray(self.dummy_image) |
|
|
| def assert_dict_is_valid(self): |
| actual_dict = controlnet.image_dict_from_any(self.input.image) |
| self.assertEqual(actual_dict['image'].tolist(), self.expected_image.tolist()) |
| self.assertEqual(actual_dict['mask'].tolist(), self.expected_mask.tolist()) |
|
|
| def test_none(self): |
| self.assertEqual(controlnet.image_dict_from_any(self.input.image), None) |
|
|
| def test_image_without_mask(self): |
| self.input.image = self.dummy_image |
| self.expected_mask = np.zeros_like(self.expected_image, dtype=np.uint8) |
| self.assert_dict_is_valid() |
|
|
| def test_masked_image_tuple(self): |
| self.input.image = (self.dummy_image, self.dummy_image,) |
| self.assert_dict_is_valid() |
|
|
| def test_masked_image_dict(self): |
| self.input.image = {'image': self.dummy_image, 'mask': self.dummy_image} |
| self.assert_dict_is_valid() |
|
|
|
|
| class TestPixelPerfectResolution(unittest.TestCase): |
| def test_outer_fit(self): |
| image = np.zeros((100, 100, 3)) |
| target_H, target_W = 50, 100 |
| resize_mode = external_code.ResizeMode.OUTER_FIT |
| result = external_code.pixel_perfect_resolution(image, target_H, target_W, resize_mode) |
| expected = 50 |
| self.assertEqual(result, expected) |
|
|
| def test_inner_fit(self): |
| image = np.zeros((100, 100, 3)) |
| target_H, target_W = 50, 100 |
| resize_mode = external_code.ResizeMode.INNER_FIT |
| result = external_code.pixel_perfect_resolution(image, target_H, target_W, resize_mode) |
| expected = 100 |
| self.assertEqual(result, expected) |
|
|
|
|
| class TestGetAllUnitsFrom(unittest.TestCase): |
| def test_none(self): |
| self.assertListEqual(external_code.get_all_units_from([None]), []) |
|
|
| def test_bool(self): |
| self.assertListEqual(external_code.get_all_units_from([True]), []) |
|
|
| def test_inheritance(self): |
| class Foo(external_code.ControlNetUnit): |
| def __init__(self): |
| super().__init__(self) |
| self.bar = 'a' |
| |
| foo = Foo() |
| self.assertListEqual(external_code.get_all_units_from([foo]), [foo]) |
|
|
| def test_dict(self): |
| units = external_code.get_all_units_from([{}]) |
| self.assertGreater(len(units), 0) |
| self.assertIsInstance(units[0], external_code.ControlNetUnit) |
|
|
| def test_unitlike(self): |
| class Foo(object): |
| """ bar """ |
|
|
| foo = Foo() |
| for key in vars(external_code.ControlNetUnit()).keys(): |
| setattr(foo, key, True) |
| setattr(foo, 'bar', False) |
| self.assertListEqual(external_code.get_all_units_from([foo]), [foo]) |
|
|
|
|
| if __name__ == '__main__': |
| unittest.main() |