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Original file line number | Diff line number | Diff line change |
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name: Test on PR | ||
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on: | ||
pull_request: | ||
paths: | ||
- "adetailer/**.py" | ||
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jobs: | ||
test: | ||
name: Test on python ${{ matrix.python-version }} | ||
runs-on: macos-latest | ||
strategy: | ||
matrix: | ||
python-version: | ||
- "3.10" | ||
- "3.11" | ||
- "3.12" | ||
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steps: | ||
- uses: actions/checkout@v4 | ||
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- name: Set up Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v5 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
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- uses: yezz123/setup-uv@v4 | ||
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- name: Install dependencies | ||
run: | | ||
uv pip install --system ".[test]" | ||
- name: Run tests | ||
run: pytest -v |
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Original file line number | Diff line number | Diff line change |
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@@ -1 +1 @@ | ||
__version__ = "24.8.0" | ||
__version__ = "24.9.0" |
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Original file line number | Diff line number | Diff line change |
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from __future__ import annotations | ||
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from collections.abc import Sequence | ||
from typing import ClassVar, TypeVar | ||
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import numpy as np | ||
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T = TypeVar("T", int, float) | ||
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def dynamic_denoise_strength( | ||
denoise_power: float, | ||
denoise_strength: float, | ||
bbox: Sequence[T], | ||
image_size: tuple[int, int], | ||
) -> float: | ||
if len(bbox) != 4: | ||
msg = f"bbox length must be 4, got {len(bbox)}" | ||
raise ValueError(msg) | ||
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if np.isclose(denoise_power, 0.0) or len(bbox) != 4: | ||
return denoise_strength | ||
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width, height = image_size | ||
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image_pixels = width * height | ||
bbox_pixels = (bbox[2] - bbox[0]) * (bbox[3] - bbox[1]) | ||
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normalized_area = bbox_pixels / image_pixels | ||
denoise_modifier = (1.0 - normalized_area) ** denoise_power | ||
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return denoise_strength * denoise_modifier | ||
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class _OptimalCropSize: | ||
sdxl_res: ClassVar[list[tuple[int, int]]] = [ | ||
(1024, 1024), | ||
(1152, 896), | ||
(896, 1152), | ||
(1216, 832), | ||
(832, 1216), | ||
(1344, 768), | ||
(768, 1344), | ||
(1536, 640), | ||
(640, 1536), | ||
] | ||
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def sdxl( | ||
self, inpaint_width: int, inpaint_height: int, bbox: Sequence[T] | ||
) -> tuple[int, int]: | ||
if len(bbox) != 4: | ||
msg = f"bbox length must be 4, got {len(bbox)}" | ||
raise ValueError(msg) | ||
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bbox_width = bbox[2] - bbox[0] | ||
bbox_height = bbox[3] - bbox[1] | ||
bbox_aspect_ratio = bbox_width / bbox_height | ||
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resolutions = [ | ||
res | ||
for res in self.sdxl_res | ||
if (res[0] >= bbox_width and res[1] >= bbox_height) | ||
and (res[0] >= inpaint_width or res[1] >= inpaint_height) | ||
] | ||
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if not resolutions: | ||
return inpaint_width, inpaint_height | ||
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return min( | ||
resolutions, | ||
key=lambda res: abs((res[0] / res[1]) - bbox_aspect_ratio), | ||
) | ||
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def free( | ||
self, inpaint_width: int, inpaint_height: int, bbox: Sequence[T] | ||
) -> tuple[int, int]: | ||
if len(bbox) != 4: | ||
msg = f"bbox length must be 4, got {len(bbox)}" | ||
raise ValueError(msg) | ||
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bbox_width = bbox[2] - bbox[0] | ||
bbox_height = bbox[3] - bbox[1] | ||
bbox_aspect_ratio = bbox_width / bbox_height | ||
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scale_size = max(inpaint_width, inpaint_height) | ||
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if bbox_aspect_ratio > 1: | ||
optimal_width = scale_size | ||
optimal_height = scale_size / bbox_aspect_ratio | ||
else: | ||
optimal_width = scale_size * bbox_aspect_ratio | ||
optimal_height = scale_size | ||
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# Round up to the nearest multiple of 8 to make the dimensions friendly for upscaling/diffusion. | ||
optimal_width = ((optimal_width + 8 - 1) // 8) * 8 | ||
optimal_height = ((optimal_height + 8 - 1) // 8) * 8 | ||
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return int(optimal_width), int(optimal_height) | ||
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optimal_crop_size = _OptimalCropSize() |
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