63 lines
2.3 KiB
Python
63 lines
2.3 KiB
Python
from pathlib import Path
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import pytest
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import torch
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from lama_cleaner.model_manager import ModelManager
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from lama_cleaner.tests.test_model import get_config, assert_equal
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from lama_cleaner.schema import HDStrategy
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current_dir = Path(__file__).parent.absolute().resolve()
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save_dir = current_dir / 'result'
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save_dir.mkdir(exist_ok=True, parents=True)
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device = 'cuda' if torch.cuda.is_available() else 'mps'
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@pytest.mark.parametrize("disable_nsfw", [True, False])
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@pytest.mark.parametrize("cpu_offload", [False, True])
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def test_instruct_pix2pix(disable_nsfw, cpu_offload):
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sd_steps = 50 if device == 'cuda' else 20
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model = ModelManager(name="instruct_pix2pix",
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device=torch.device(device),
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hf_access_token="",
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sd_run_local=False,
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disable_nsfw=disable_nsfw,
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sd_cpu_textencoder=False,
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cpu_offload=cpu_offload)
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cfg = get_config(strategy=HDStrategy.ORIGINAL, prompt='What if it were snowing?', p2p_steps=sd_steps, sd_scale=1.1)
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name = f"device_{device}_disnsfw_{disable_nsfw}_cpu_offload_{cpu_offload}"
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assert_equal(
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model,
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cfg,
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f"instruct_pix2pix_{name}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=1.3
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)
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@pytest.mark.parametrize("disable_nsfw", [False])
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@pytest.mark.parametrize("cpu_offload", [False])
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def test_instruct_pix2pix_snow(disable_nsfw, cpu_offload):
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sd_steps = 50 if device == 'cuda' else 20
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model = ModelManager(name="instruct_pix2pix",
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device=torch.device(device),
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hf_access_token="",
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sd_run_local=False,
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disable_nsfw=disable_nsfw,
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sd_cpu_textencoder=False,
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cpu_offload=cpu_offload)
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cfg = get_config(strategy=HDStrategy.ORIGINAL, prompt='What if it were snowing?', p2p_steps=sd_steps)
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name = f"snow"
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assert_equal(
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model,
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cfg,
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f"instruct_pix2pix_{name}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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)
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