IOPaint/lama_cleaner/tests/test_instruct_pix2pix.py

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from pathlib import Path
import pytest
import torch
from lama_cleaner.model_manager import ModelManager
from lama_cleaner.tests.test_model import get_config, assert_equal
from lama_cleaner.schema import HDStrategy
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"
model_name = "timbrooks/instruct-pix2pix"
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@pytest.mark.parametrize("disable_nsfw", [True, False])
@pytest.mark.parametrize("cpu_offload", [False, True])
def test_instruct_pix2pix(disable_nsfw, cpu_offload):
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sd_steps = 50 if device == "cuda" else 20
model = ModelManager(
name=model_name,
device=torch.device(device),
disable_nsfw=disable_nsfw,
sd_cpu_textencoder=False,
cpu_offload=cpu_offload,
)
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}"
assert_equal(
model,
cfg,
f"instruct_pix2pix_{name}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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])
@pytest.mark.parametrize("cpu_offload", [False])
def test_instruct_pix2pix_snow(disable_nsfw, cpu_offload):
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sd_steps = 50 if device == "cuda" else 20
model = ModelManager(
name=model_name,
device=torch.device(device),
disable_nsfw=disable_nsfw,
sd_cpu_textencoder=False,
cpu_offload=cpu_offload,
)
cfg = get_config(
strategy=HDStrategy.ORIGINAL,
prompt="What if it were snowing?",
p2p_steps=sd_steps,
)
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name = f"snow"
assert_equal(
model,
cfg,
f"instruct_pix2pix_{name}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)