mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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91 lines
3.1 KiB
Python
91 lines
3.1 KiB
Python
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import pytest
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import requests
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@pytest.fixture()
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def url_txt2img(base_url):
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return f"{base_url}/sdapi/v1/txt2img"
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@pytest.fixture()
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def simple_txt2img_request():
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return {
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"batch_size": 1,
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"cfg_scale": 7,
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"denoising_strength": 0,
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"enable_hr": False,
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"eta": 0,
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"firstphase_height": 0,
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"firstphase_width": 0,
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"height": 64,
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"n_iter": 1,
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"negative_prompt": "",
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"prompt": "example prompt",
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"restore_faces": False,
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"s_churn": 0,
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"s_noise": 1,
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"s_tmax": 0,
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"s_tmin": 0,
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"sampler_index": "Euler a",
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"seed": -1,
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"seed_resize_from_h": -1,
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"seed_resize_from_w": -1,
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"steps": 3,
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"styles": [],
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"subseed": -1,
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"subseed_strength": 0,
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"tiling": False,
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"width": 64,
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}
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def test_txt2img_simple_performed(url_txt2img, simple_txt2img_request):
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_with_negative_prompt_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["negative_prompt"] = "example negative prompt"
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_with_complex_prompt_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["prompt"] = "((emphasis)), (emphasis1:1.1), [to:1], [from::2], [from:to:0.3], [alt|alt1]"
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_not_square_image_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["height"] = 128
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_with_hrfix_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["enable_hr"] = True
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_with_tiling_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["tiling"] = True
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_with_restore_faces_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["restore_faces"] = True
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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@pytest.mark.parametrize("sampler", ["PLMS", "DDIM", "UniPC"])
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def test_txt2img_with_vanilla_sampler_performed(url_txt2img, simple_txt2img_request, sampler):
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simple_txt2img_request["sampler_index"] = sampler
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_multiple_batches_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["n_iter"] = 2
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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def test_txt2img_batch_performed(url_txt2img, simple_txt2img_request):
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simple_txt2img_request["batch_size"] = 2
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assert requests.post(url_txt2img, json=simple_txt2img_request).status_code == 200
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