50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
def test_load_model():
|
|
from lama_cleaner.plugins import InteractiveSeg
|
|
from lama_cleaner.model_manager import ModelManager
|
|
|
|
interactive_seg_model = InteractiveSeg('vit_l', 'cpu')
|
|
|
|
models = [
|
|
"lama",
|
|
"ldm",
|
|
"zits",
|
|
"mat",
|
|
"fcf",
|
|
"manga",
|
|
]
|
|
for m in models:
|
|
ModelManager(
|
|
name=m,
|
|
device="cpu",
|
|
no_half=False,
|
|
hf_access_token="",
|
|
disable_nsfw=False,
|
|
sd_cpu_textencoder=True,
|
|
sd_run_local=True,
|
|
local_files_only=True,
|
|
cpu_offload=True,
|
|
enable_xformers=False,
|
|
)
|
|
|
|
|
|
# def create_empty_file(tmp_dir, name):
|
|
# tmp_model_dir = os.path.join(tmp_dir, "torch", "hub", "checkpoints")
|
|
# Path(tmp_model_dir).mkdir(exist_ok=True, parents=True)
|
|
# path = os.path.join(tmp_model_dir, name)
|
|
# with open(path, "w") as f:
|
|
# f.write("1")
|
|
#
|
|
#
|
|
# def test_load_model_error():
|
|
# MODELS = [
|
|
# ("big-lama.pt", "e3aa4aaa15225a33ec84f9f4bc47e500"),
|
|
# ("cond_stage_model_encode.pt", "23239fc9081956a3e70de56472b3f296"),
|
|
# ("cond_stage_model_decode.pt", "fe419cd15a750d37a4733589d0d3585c"),
|
|
# ("diffusion.pt", "b0afda12bf790c03aba2a7431f11d22d"),
|
|
# ]
|
|
# with tempfile.TemporaryDirectory() as tmp_dir:
|
|
# os.environ["XDG_CACHE_HOME"] = tmp_dir
|
|
# for name, md5 in MODELS:
|
|
# create_empty_file(tmp_dir, name)
|
|
# test_load_model()
|