Download microsoftexcel-controlnet/tests/web_api/img2img_test.py from toto10/extensions: direct link, hf CLI and curl.
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https://huggingface.co/toto10/extensions/resolve/refs%2Fpr%2F7/microsoftexcel-controlnet/tests/web_api/img2img_test.py
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hf download hf://toto10/extensions@refs/pr/7/microsoftexcel-controlnet/tests/web_api/img2img_test.py
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curl -L -o img2img_test.py https://huggingface.co/toto10/extensions/resolve/refs%2Fpr%2F7/microsoftexcel-controlnet/tests/web_api/img2img_test.py
3.56 kB
| import unittest | |
| import importlib | |
| utils = importlib.import_module('extensions.sd-webui-controlnet.tests.utils', 'utils') | |
| utils.setup_test_env() | |
| import requests | |
| class TestImg2ImgWorkingBase(unittest.TestCase): | |
| def setUp(self): | |
| controlnet_unit = { | |
| "module": "none", | |
| "model": utils.get_model(), | |
| "weight": 1.0, | |
| "input_image": utils.readImage("test/test_files/img2img_basic.png"), | |
| "mask": utils.readImage("test/test_files/img2img_basic.png"), | |
| "resize_mode": 1, | |
| "lowvram": False, | |
| "processor_res": 64, | |
| "threshold_a": 64, | |
| "threshold_b": 64, | |
| "guidance_start": 0.0, | |
| "guidance_end": 1.0, | |
| "control_mode": 0, | |
| } | |
| setup_args = {"alwayson_scripts":{"ControlNet":{"args": ([controlnet_unit] * getattr(self, 'units_count', 1))}}} | |
| self.setup_route(setup_args) | |
| def setup_route(self, setup_args): | |
| self.url_img2img = "http://localhost:7860/sdapi/v1/img2img" | |
| self.simple_img2img = { | |
| "init_images": [utils.readImage("test/test_files/img2img_basic.png")], | |
| "resize_mode": 0, | |
| "denoising_strength": 0.75, | |
| "image_cfg_scale": 0, | |
| "mask_blur": 4, | |
| "inpainting_fill": 0, | |
| "inpaint_full_res": True, | |
| "inpaint_full_res_padding": 0, | |
| "inpainting_mask_invert": 0, | |
| "initial_noise_multiplier": 0, | |
| "prompt": "example prompt", | |
| "styles": [], | |
| "seed": -1, | |
| "subseed": -1, | |
| "subseed_strength": 0, | |
| "seed_resize_from_h": -1, | |
| "seed_resize_from_w": -1, | |
| "sampler_name": "Euler a", | |
| "batch_size": 1, | |
| "n_iter": 1, | |
| "steps": 3, | |
| "cfg_scale": 7, | |
| "width": 64, | |
| "height": 64, | |
| "restore_faces": False, | |
| "tiling": False, | |
| "do_not_save_samples": False, | |
| "do_not_save_grid": False, | |
| "negative_prompt": "", | |
| "eta": 0, | |
| "s_churn": 0, | |
| "s_tmax": 0, | |
| "s_tmin": 0, | |
| "s_noise": 1, | |
| "override_settings": {}, | |
| "override_settings_restore_afterwards": True, | |
| "sampler_index": "Euler a", | |
| "include_init_images": False, | |
| "send_images": True, | |
| "save_images": False, | |
| "alwayson_scripts": {} | |
| } | |
| self.simple_img2img.update(setup_args) | |
| def assert_status_ok(self): | |
| self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200) | |
| stderr = "" | |
| with open('test/stderr.txt') as f: | |
| stderr = f.read().lower() | |
| with open('test/stderr.txt', 'w') as f: | |
| # clear stderr file so we can easily parse the next test | |
| f.write("") | |
| self.assertFalse('error' in stderr, "Errors in stderr: \n" + stderr) | |
| def test_img2img_simple_performed(self): | |
| self.assert_status_ok() | |
| def test_img2img_alwayson_scripts_default_units(self): | |
| self.units_count = 0 | |
| self.setUp() | |
| self.assert_status_ok() | |
| def test_img2img_default_params(self): | |
| self.simple_img2img["alwayson_scripts"]["ControlNet"]["args"] = [{ | |
| "input_image": utils.readImage("test/test_files/img2img_basic.png"), | |
| "model": utils.get_model(), | |
| }] | |
| self.assert_status_ok() | |
| if __name__ == "__main__": | |
| unittest.main() |