|
import unittest |
|
import requests |
|
|
|
|
|
class TestTxt2ImgWorking(unittest.TestCase): |
|
def setUp(self): |
|
self.url_txt2img = "http://localhost:7860/sdapi/v1/txt2img" |
|
self.simple_txt2img = { |
|
"enable_hr": False, |
|
"denoising_strength": 0, |
|
"firstphase_width": 0, |
|
"firstphase_height": 0, |
|
"prompt": "example prompt", |
|
"styles": [], |
|
"seed": -1, |
|
"subseed": -1, |
|
"subseed_strength": 0, |
|
"seed_resize_from_h": -1, |
|
"seed_resize_from_w": -1, |
|
"batch_size": 1, |
|
"n_iter": 1, |
|
"steps": 3, |
|
"cfg_scale": 7, |
|
"width": 64, |
|
"height": 64, |
|
"restore_faces": False, |
|
"tiling": False, |
|
"negative_prompt": "", |
|
"eta": 0, |
|
"s_churn": 0, |
|
"s_tmax": 0, |
|
"s_tmin": 0, |
|
"s_noise": 1, |
|
"sampler_index": "Euler a" |
|
} |
|
|
|
def test_txt2img_simple_performed(self): |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_negative_prompt_performed(self): |
|
self.simple_txt2img["negative_prompt"] = "example negative prompt" |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_complex_prompt_performed(self): |
|
self.simple_txt2img["prompt"] = "((emphasis)), (emphasis1:1.1), [to:1], [from::2], [from:to:0.3], [alt|alt1]" |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_not_square_image_performed(self): |
|
self.simple_txt2img["height"] = 128 |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_hrfix_performed(self): |
|
self.simple_txt2img["enable_hr"] = True |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_tiling_performed(self): |
|
self.simple_txt2img["tiling"] = True |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_restore_faces_performed(self): |
|
self.simple_txt2img["restore_faces"] = True |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_with_vanilla_sampler_performed(self): |
|
self.simple_txt2img["sampler_index"] = "PLMS" |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
self.simple_txt2img["sampler_index"] = "DDIM" |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
self.simple_txt2img["sampler_index"] = "UniPC" |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_multiple_batches_performed(self): |
|
self.simple_txt2img["n_iter"] = 2 |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
def test_txt2img_batch_performed(self): |
|
self.simple_txt2img["batch_size"] = 2 |
|
self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200) |
|
|
|
|
|
if __name__ == "__main__": |
|
unittest.main() |
|
|