File size: 5,140 Bytes
c31821c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 | import pytest
import requests
from typing import List
from .template import (
APITestTemplate,
realistic_girl_face_img,
portrait_imgs,
girl_img,
mask_img,
save_base64,
get_dest_dir,
disable_in_cq,
console_log_context,
)
def get_modules() -> List[str]:
return requests.get(APITestTemplate.BASE_URL + "controlnet/module_list").json()[
"module_list"
]
def detect_template(payload, output_name: str, status: int = 200):
url = APITestTemplate.BASE_URL + "controlnet/detect"
resp = requests.post(url, json=payload)
assert resp.status_code == status
if status != 200:
return
resp_json = resp.json()
if "images" in resp_json:
assert len(resp_json["images"]) == len(payload["controlnet_input_images"])
if not APITestTemplate.is_cq_run:
for i, img in enumerate(resp_json["images"]):
if img == "Detect result is not image":
continue
dest = get_dest_dir() / f"{output_name}_{i}.png"
save_base64(img, dest)
elif "tensor" in resp_json:
assert len(resp_json["tensor"]) == len(payload["controlnet_input_images"])
if not APITestTemplate.is_cq_run:
for i, tensor_str in enumerate(resp_json["tensor"]):
dest = get_dest_dir() / f"{output_name}_{i}.txt"
with open(dest, "w") as f:
f.write(tensor_str)
else:
assert False, resp_json
return resp_json
UNSUPPORTED_PREPROCESSORS = {
"clip_vision",
"revision_clipvision",
"revision_ignore_prompt",
"ip-adapter-auto",
}
INPAINT_PREPROCESSORS = {
"inpaint_only",
"inpaint",
"inpaint_only+lama",
}
# FAILED extensions/sd-webui-controlnet/tests/web_api/detect_test.py::test_detect_all_modules[depth_zoe] - assert 500 == 200
@disable_in_cq
@pytest.mark.parametrize(
"module",
[
m
for m in get_modules()
if m not in UNSUPPORTED_PREPROCESSORS.union(INPAINT_PREPROCESSORS)
],
)
def test_detect_all_modules(module: str):
payload = dict(
controlnet_input_images=[realistic_girl_face_img],
controlnet_module=module,
)
detect_template(payload, f"detect_{module}")
@disable_in_cq
@pytest.mark.parametrize("module", [m for m in INPAINT_PREPROCESSORS])
def test_inpaint_mask(module: str):
payload = dict(
controlnet_input_images=[girl_img],
controlnet_masks=[mask_img],
controlnet_module=module,
)
detect_template(payload, f"detect_inpaint_mask_{module}")
@disable_in_cq
@pytest.mark.parametrize("img_index", [i for i, _ in enumerate(portrait_imgs)])
def test_pulid(img_index: int):
"""PuLID preprocessor should not memory leak."""
payload = dict(
controlnet_input_images=[portrait_imgs[img_index]],
controlnet_module="ip-adapter_pulid",
)
detect_template(payload, f"detect_pulid_{img_index}")
@pytest.mark.parametrize("module", [m for m in UNSUPPORTED_PREPROCESSORS])
def test_unsupported_modules(module: str):
payload = dict(
controlnet_input_images=[realistic_girl_face_img],
controlnet_module=module,
)
detect_template(payload, f"detect_{module}", status=422)
@pytest.mark.parametrize("module", [m for m in INPAINT_PREPROCESSORS])
def test_mask_error(module: str):
payload = dict(
controlnet_input_images=[realistic_girl_face_img],
controlnet_module=module,
)
detect_template(payload, f"mask_error_{module}", status=422)
def test_detect_simple():
detect_template(
dict(
controlnet_input_images=[realistic_girl_face_img],
controlnet_module="canny", # Canny does not require model download.
),
"simple_detect",
)
def test_detect_multiple_inputs():
detect_template(
dict(
controlnet_input_images=[realistic_girl_face_img, realistic_girl_face_img],
controlnet_module="canny", # Canny does not require model download.
),
"multiple_inputs_detect",
)
def test_detect_with_invalid_module():
detect_template({"controlnet_module": "INVALID"}, "invalid module", 422)
def test_detect_with_no_input_images():
detect_template({"controlnet_input_images": []}, "no input images", 422)
def test_detect_default_param():
with console_log_context() as log_context:
detect_template(
dict(
controlnet_input_images=[realistic_girl_face_img],
controlnet_module="canny", # Canny does not require model download.
controlnet_threshold_a=-100,
controlnet_threshold_b=-100,
controlnet_processor_res=-100,
),
"default_param",
)
assert log_context.is_in_console_logs(
[
"[canny.processor_res] Invalid value(-100), using default value 512.",
"[canny.threshold_a] Invalid value(-100.0), using default value 100.",
"[canny.threshold_b] Invalid value(-100.0), using default value 200.",
]
)
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