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add black to CI
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3
.github/workflows/ci.yml
vendored
3
.github/workflows/ci.yml
vendored
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@ -24,6 +24,9 @@ jobs:
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- name: poetry install
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- name: poetry install
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run: poetry install --no-interaction --extras=training
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run: poetry install --no-interaction --extras=training
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- name: black
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run: poetry run black --check .
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- name: lint
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- name: lint
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run: poetry run ruff check .
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run: poetry run ruff check .
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@ -24,6 +24,7 @@ def test_weights_path() -> Path:
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def test_e2e_path() -> Path:
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def test_e2e_path() -> Path:
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return PARENT_PATH / "e2e"
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return PARENT_PATH / "e2e"
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@fixture(scope="session")
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@fixture(scope="session")
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def test_textual_inversion_path() -> Path:
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def test_textual_inversion_path() -> Path:
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return PARENT_PATH / "foundationals" / "clip" / "test_concepts_ref"
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return PARENT_PATH / "foundationals" / "clip" / "test_concepts_ref"
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@ -41,7 +41,9 @@ def our_encoder_with_new_concepts(
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@pytest.fixture(scope="module")
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@pytest.fixture(scope="module")
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def ref_sd15_with_new_concepts(runwayml_weights_path: Path, test_textual_inversion_path: Path, test_device: torch.device):
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def ref_sd15_with_new_concepts(
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runwayml_weights_path: Path, test_textual_inversion_path: Path, test_device: torch.device
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):
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pipe = StableDiffusionPipeline.from_pretrained(runwayml_weights_path, torch_dtype=torch.float16).to(test_device) # type: ignore
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pipe = StableDiffusionPipeline.from_pretrained(runwayml_weights_path, torch_dtype=torch.float16).to(test_device) # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "cat-toy") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "cat-toy") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "gta5-artwork") # type: ignore
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pipe.load_textual_inversion(test_textual_inversion_path / "gta5-artwork") # type: ignore
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