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