| |
|
| | import pytest |
| | import requests |
| |
|
| |
|
| | @pytest.fixture() |
| | def url_txt2img(base_url): |
| | return f"{base_url}/sdapi/v1/txt2img" |
| |
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| |
|
| | @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 |
| |
|
| |
|
| | @pytest.mark.skip |
| | 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 |
| |
|