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automatic1111
GitHub Repository: automatic1111/stable-diffusion-webui
 Path: blob/master/test/test_txt2img.py
3055 views
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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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