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import pytest |
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import torch |
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from iopaint.model_manager import ModelManager |
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from iopaint.schema import SDSampler, HDStrategy |
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from iopaint.tests.utils import check_device, get_config, assert_equal, current_dir |
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@pytest.mark.parametrize("device", ["cuda", "mps"]) |
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@pytest.mark.parametrize("sampler", [SDSampler.ddim]) |
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def test_sd_match_histograms(device, sampler): |
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sd_steps = check_device(device) |
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model = ModelManager( |
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name="runwayml/stable-diffusion-inpainting", |
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device=torch.device(device), |
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disable_nsfw=True, |
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sd_cpu_textencoder=False, |
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) |
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cfg = get_config( |
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strategy=HDStrategy.ORIGINAL, |
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prompt="face of a fox, sitting on a bench", |
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sd_steps=sd_steps, |
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sd_guidance_scale=7.5, |
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sd_lcm_lora=False, |
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sd_match_histograms=True, |
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sd_sampler=sampler |
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) |
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assert_equal( |
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model, |
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cfg, |
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f"runway_sd_1_5_device_{device}_match_histograms.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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