update test
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@ -38,7 +38,7 @@ def assert_equal(
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@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
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def test_paint_by_example(strategy):
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model = ModelManager(name="paint_by_example", device=device)
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cfg = get_config(strategy, paint_by_example_steps=30)
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cfg = get_config(strategy, paint_by_example_steps=30 if device == 'cuda' else 1)
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assert_equal(
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model,
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cfg,
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@ -1,12 +1,10 @@
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import os
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from pathlib import Path
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import cv2
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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.schema import Config, HDStrategy, LDMSampler, SDSampler
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from lama_cleaner.schema import HDStrategy, SDSampler
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from lama_cleaner.tests.test_model import get_config, assert_equal
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current_dir = Path(__file__).parent.absolute().resolve()
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@ -96,7 +94,7 @@ def test_runway_sd_1_5_negative_prompt(sd_device, strategy, sampler):
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if sd_device == 'cuda' and not torch.cuda.is_available():
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return
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sd_steps = 50
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sd_steps = 50 if sd_device == 'cuda' else 1
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model = ModelManager(name="sd1.5",
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device=torch.device(sd_device),
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hf_access_token="",
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