Diffussion-Space / test /test_txt2img.py
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<Stable-diffusion-arcane>
45d472d
import pytest
import requests
@pytest.fixture()
def url_txt2img(base_url):
return f"{base_url}/sdapi/v1/txt2img"
@pytest.fixture()
def simple_txt2img_request():
return {
"batch_size": 1,
"cfg_scale": 7,
"denoising_strength": 0,
"enable_hr": False,
"eta": 0,
"firstphase_height": 0,
"firstphase_width": 0,
"height": 64,
"n_iter": 1,
"negative_prompt": "",
"prompt": "example prompt",
"restore_faces": False,
"s_churn": 0,
"s_noise": 1,
"s_tmax": 0,
"s_tmin": 0,
"sampler_index": "Euler a",
"seed": -1,
"seed_resize_from_h": -1,
"seed_resize_from_w": -1,
"steps": 3,
"styles": [],
"subseed": -1,
"subseed_strength": 0,
"tiling": False,
"width": 64,
}
def test_txt2img_simple_performed(url_txt2img, simple_txt2img_request):
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_with_negative_prompt_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["negative_prompt"] = "example negative prompt"
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_with_complex_prompt_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["prompt"] = "((emphasis)), (emphasis1:1.1), [to:1], [from::2], [from:to:0.3], [alt|alt1]"
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_not_square_image_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["height"] = 128
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_with_hrfix_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["enable_hr"] = True
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_with_tiling_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["tiling"] = True
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_with_restore_faces_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["restore_faces"] = True
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
@pytest.mark.parametrize("sampler", ["PLMS", "DDIM", "UniPC"])
def test_txt2img_with_vanilla_sampler_performed(url_txt2img, simple_txt2img_request, sampler):
simple_txt2img_request["sampler_index"] = sampler
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_multiple_batches_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["n_iter"] = 2
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
def test_txt2img_batch_performed(url_txt2img, simple_txt2img_request):
simple_txt2img_request["batch_size"] = 2
assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200