mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 01:04:32 +02:00
add tests
This commit is contained in:
+1
-1
@@ -56,7 +56,7 @@
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"training_image_repeats_per_epoch": 1,
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"training_write_csv_every": 10.0,
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"training_xattention_optimizations": false,
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"sd_model_checkpoint": "sd-v15-runwayml.ckpt [81761151]",
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"sd_model_checkpoint": "sd21-hot-fantasy.safetensors [651c7c98]",
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"sd_checkpoint_cache": 0,
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"sd_vae": "vae-ft-mse-840000-ema-pruned",
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"sd_vae_as_default": false,
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+11
-6
@@ -49,6 +49,9 @@ def checkpoint_tiles():
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def find_checkpoint_config(info):
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if info is None:
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return shared.cmd_opts.config
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config = os.path.splitext(info.filename)[0] + ".yaml"
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if os.path.exists(config):
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return config
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@@ -174,7 +177,7 @@ def read_state_dict(checkpoint_file, print_global_state=False, map_location=None
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if device is None:
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device = devices.get_cuda_device_string() if torch.cuda.is_available() else "cpu"
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if extension.lower() == ".safetensors":
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pl_sd = safetensors.torch.load_file(checkpoint_file, device=device)
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pl_sd = safetensors.torch.load_file(checkpoint_file, device="cpu") # safetensors cannot load into gpu directly
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else:
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pl_sd = torch.load(checkpoint_file, map_location=device)
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@@ -345,14 +348,16 @@ def reload_model_weights(sd_model=None, info=None):
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if not sd_model:
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sd_model = shared.sd_model
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if sd_model is None: # previous model load failed
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current_checkpoint_info = None
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else:
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current_checkpoint_info = sd_model.sd_checkpoint_info
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if sd_model.sd_model_checkpoint == checkpoint_info.filename:
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return
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current_checkpoint_info = sd_model.sd_checkpoint_info
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checkpoint_config = find_checkpoint_config(current_checkpoint_info)
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if sd_model.sd_model_checkpoint == checkpoint_info.filename:
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return
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if checkpoint_config != find_checkpoint_config(checkpoint_info) or should_hijack_inpainting(checkpoint_info) != should_hijack_inpainting(sd_model.sd_checkpoint_info):
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if current_checkpoint_info is None or checkpoint_config != find_checkpoint_config(checkpoint_info) or should_hijack_inpainting(checkpoint_info) != should_hijack_inpainting(sd_model.sd_checkpoint_info):
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del sd_model
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checkpoints_loaded.clear()
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load_model(checkpoint_info)
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@@ -0,0 +1,29 @@
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import unittest
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class TestExtrasWorking(unittest.TestCase):
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def setUp(self):
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self.url_img2img = "http://localhost:7860/sdapi/v1/extra-single-image"
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self.simple_extras = {
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"resize_mode": 0,
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"show_extras_results": True,
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"gfpgan_visibility": 0,
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"codeformer_visibility": 0,
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"codeformer_weight": 0,
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"upscaling_resize": 2,
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"upscaling_resize_w": 128,
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"upscaling_resize_h": 128,
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"upscaling_crop": True,
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"upscaler_1": "None",
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"upscaler_2": "None",
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"extras_upscaler_2_visibility": 0,
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"image": ""
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}
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class TestExtrasCorrectness(unittest.TestCase):
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pass
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,47 @@
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import unittest
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import requests
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class TestTxt2ImgWorking(unittest.TestCase):
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def setUp(self):
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self.url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
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self.simple_txt2img = {
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"enable_hr": False,
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"denoising_strength": 0,
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"firstphase_width": 0,
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"firstphase_height": 0,
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"prompt": "example prompt",
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"styles": [],
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"seed": -1,
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"subseed": -1,
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"subseed_strength": 0,
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"seed_resize_from_h": -1,
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"seed_resize_from_w": -1,
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"batch_size": 1,
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"n_iter": 1,
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"steps": 3,
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"cfg_scale": 7,
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"width": 64,
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"height": 64,
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"restore_faces": False,
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"tiling": False,
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"negative_prompt": "",
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"eta": 0,
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"s_churn": 0,
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"s_tmax": 0,
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"s_tmin": 0,
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"s_noise": 1,
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"sampler_index": "Euler a"
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}
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def test_txt2img_with_restore_faces_performed(self):
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self.simple_txt2img["restore_faces"] = True
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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class TestTxt2ImgCorrectness(unittest.TestCase):
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pass
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,55 @@
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import unittest
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import requests
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from gradio.processing_utils import encode_pil_to_base64
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from PIL import Image
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class TestImg2ImgWorking(unittest.TestCase):
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def setUp(self):
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self.url_img2img = "http://localhost:7860/sdapi/v1/img2img"
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self.simple_img2img = {
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"init_images": [encode_pil_to_base64(Image.open(r"test/test_files/img2img_basic.png"))],
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"resize_mode": 0,
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"denoising_strength": 0.75,
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"mask": None,
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"mask_blur": 4,
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"inpainting_fill": 0,
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"inpaint_full_res": False,
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"inpaint_full_res_padding": 0,
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"inpainting_mask_invert": 0,
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"prompt": "example prompt",
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"styles": [],
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"seed": -1,
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"subseed": -1,
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"subseed_strength": 0,
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"seed_resize_from_h": -1,
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"seed_resize_from_w": -1,
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"batch_size": 1,
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"n_iter": 1,
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"steps": 3,
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"cfg_scale": 7,
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"width": 64,
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"height": 64,
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"restore_faces": False,
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"tiling": False,
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"negative_prompt": "",
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"eta": 0,
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"s_churn": 0,
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"s_tmax": 0,
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"s_tmin": 0,
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"s_noise": 1,
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"override_settings": {},
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"sampler_index": "Euler a",
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"include_init_images": False
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}
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def test_img2img_simple_performed(self):
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self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
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def test_inpainting_masked_performed(self):
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self.simple_img2img["mask"] = encode_pil_to_base64(Image.open(r"test/test_files/mask_basic.png"))
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self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,68 @@
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import unittest
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import requests
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class TestTxt2ImgWorking(unittest.TestCase):
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def setUp(self):
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self.url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
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self.simple_txt2img = {
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"enable_hr": False,
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"denoising_strength": 0,
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"firstphase_width": 0,
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"firstphase_height": 0,
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"prompt": "example prompt",
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"styles": [],
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"seed": -1,
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"subseed": -1,
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"subseed_strength": 0,
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"seed_resize_from_h": -1,
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"seed_resize_from_w": -1,
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"batch_size": 1,
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"n_iter": 1,
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"steps": 3,
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"cfg_scale": 7,
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"width": 64,
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"height": 64,
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"restore_faces": False,
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"tiling": False,
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"negative_prompt": "",
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"eta": 0,
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"s_churn": 0,
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"s_tmax": 0,
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"s_tmin": 0,
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"s_noise": 1,
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"sampler_index": "Euler a"
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}
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def test_txt2img_simple_performed(self):
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_with_negative_prompt_performed(self):
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self.simple_txt2img["negative_prompt"] = "example negative prompt"
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_not_square_image_performed(self):
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self.simple_txt2img["height"] = 128
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_with_hrfix_performed(self):
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self.simple_txt2img["enable_hr"] = True
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_with_tiling_performed(self):
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self.simple_txt2img["tiling"] = True
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_with_vanilla_sampler_performed(self):
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self.simple_txt2img["sampler_index"] = "PLMS"
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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self.simple_txt2img["sampler_index"] = "DDIM"
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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def test_txt2img_multiple_batches_performed(self):
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self.simple_txt2img["n_iter"] = 2
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self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,53 @@
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import unittest
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import requests
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class UtilsTests(unittest.TestCase):
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def setUp(self):
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self.url_options = "http://localhost:7860/sdapi/v1/options"
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self.url_cmd_flags = "http://localhost:7860/sdapi/v1/cmd-flags"
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self.url_samplers = "http://localhost:7860/sdapi/v1/samplers"
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self.url_upscalers = "http://localhost:7860/sdapi/v1/upscalers"
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self.url_sd_models = "http://localhost:7860/sdapi/v1/sd-models"
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self.url_hypernetworks = "http://localhost:7860/sdapi/v1/hypernetworks"
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self.url_face_restorers = "http://localhost:7860/sdapi/v1/face-restorers"
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self.url_realesrgan_models = "http://localhost:7860/sdapi/v1/realesrgan-models"
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self.url_prompt_styles = "http://localhost:7860/sdapi/v1/prompt-styles"
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self.url_artist_categories = "http://localhost:7860/sdapi/v1/artist-categories"
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self.url_artists = "http://localhost:7860/sdapi/v1/artists"
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def test_options_get(self):
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self.assertEqual(requests.get(self.url_options).status_code, 200)
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def test_cmd_flags(self):
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self.assertEqual(requests.get(self.url_cmd_flags).status_code, 200)
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def test_samplers(self):
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self.assertEqual(requests.get(self.url_samplers).status_code, 200)
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def test_upscalers(self):
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self.assertEqual(requests.get(self.url_upscalers).status_code, 200)
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def test_sd_models(self):
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self.assertEqual(requests.get(self.url_sd_models).status_code, 200)
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def test_hypernetworks(self):
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self.assertEqual(requests.get(self.url_hypernetworks).status_code, 200)
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def test_face_restorers(self):
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self.assertEqual(requests.get(self.url_face_restorers).status_code, 200)
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def test_realesrgan_models(self):
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self.assertEqual(requests.get(self.url_realesrgan_models).status_code, 200)
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def test_prompt_styles(self):
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self.assertEqual(requests.get(self.url_prompt_styles).status_code, 200)
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def test_artist_categories(self):
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self.assertEqual(requests.get(self.url_artist_categories).status_code, 200)
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def test_artists(self):
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self.assertEqual(requests.get(self.url_artists).status_code, 200)
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if __name__ == "__main__":
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unittest.main()
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@@ -0,0 +1,24 @@
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import unittest
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import requests
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import time
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def run_tests(proc, test_dir):
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timeout_threshold = 240
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start_time = time.time()
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while time.time()-start_time < timeout_threshold:
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try:
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requests.head("http://localhost:7860/")
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break
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except requests.exceptions.ConnectionError:
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if proc.poll() is not None:
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break
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if proc.poll() is None:
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if test_dir is None:
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test_dir = ""
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suite = unittest.TestLoader().discover(test_dir, pattern="*_test.py", top_level_dir="test")
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result = unittest.TextTestRunner(verbosity=2).run(suite)
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return len(result.failures) + len(result.errors)
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else:
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print("Launch unsuccessful")
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return 1
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