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| 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() | |