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https://github.com/Bing-su/adetailer.git
synced 2026-01-26 19:29:54 +00:00
feat(scripts): update pr options
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@@ -4,6 +4,7 @@ import platform
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import re
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import sys
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import traceback
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from collections.abc import Sequence
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from copy import copy
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from functools import partial
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from pathlib import Path
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@@ -45,6 +46,7 @@ from adetailer.args import (
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INPAINT_BBOX_MATCH_MODES,
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SCRIPT_DEFAULT,
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ADetailerArgs,
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InpaintBBoxMatchMode,
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SkipImg2ImgOrig,
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)
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from adetailer.common import PredictOutput, ensure_pil_image, safe_mkdir
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@@ -56,6 +58,7 @@ from adetailer.mask import (
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mask_preprocess,
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sort_bboxes,
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)
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from adetailer.opts import dynamic_denoise_strength, optimal_crop_size
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from controlnet_ext import (
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CNHijackRestore,
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ControlNetExt,
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@@ -675,84 +678,54 @@ class AfterDetailerScript(scripts.Script):
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return images.resize_image(p.resize_mode, mask, width, height)
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@staticmethod
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def get_dynamic_denoise_strength(denoise_strength, bbox, image):
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def get_dynamic_denoise_strength(
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denoise_strength: float, bbox: Sequence[Any], image_size: tuple[int, int]
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):
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denoise_power = opts.data.get("ad_dynamic_denoise_power", 0)
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if denoise_power == 0:
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return denoise_strength
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image_pixels = image.width * image.height
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bbox_pixels = (bbox[2] - bbox[0]) * (bbox[3] - bbox[1])
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normalized_area = bbox_pixels / image_pixels
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denoise_modifier = (1.0 - normalized_area) ** denoise_power
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print(
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f"[-] ADetailer: dynamic denoising -- {denoise_modifier:.2f} * {denoise_strength:.2f} = {denoise_strength * denoise_modifier:.2f}"
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modified_strength = dynamic_denoise_strength(
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denoise_power=denoise_power,
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denoise_strength=denoise_strength,
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bbox=bbox,
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image_size=image_size,
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)
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return denoise_strength * denoise_modifier
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print(
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f"[-] ADetailer: dynamic denoising -- {denoise_strength:.2f} -> {modified_strength:.2f}"
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)
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return modified_strength
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@staticmethod
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def get_optimal_crop_image_size(inpaint_width, inpaint_height, bbox):
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calculate_optimal_crop = opts.data.get("ad_match_inpaint_bbox_size", "Off")
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if calculate_optimal_crop == "Off":
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def get_optimal_crop_image_size(
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inpaint_width: int, inpaint_height: int, bbox: Sequence[Any]
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):
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calculate_optimal_crop = opts.data.get(
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"ad_match_inpaint_bbox_size", InpaintBBoxMatchMode.OFF.value
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)
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if calculate_optimal_crop == InpaintBBoxMatchMode.OFF.value:
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return (inpaint_width, inpaint_height)
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optimal_resolution = None
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optimal_resolution: tuple[int, int] | None = None
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bbox_width = bbox[2] - bbox[0]
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bbox_height = bbox[3] - bbox[1]
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bbox_aspect_ratio = bbox_width / bbox_height
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if calculate_optimal_crop == "Strict (SDXL only)":
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if calculate_optimal_crop == InpaintBBoxMatchMode.STRICT.value:
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if not shared.sd_model.is_sdxl:
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msg = "[-] ADetailer: strict inpaint bounding box size matching is only available for SDXL. Use Free mode instead."
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print(msg)
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return (inpaint_width, inpaint_height)
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# Limit resolutions to those SDXL was trained on.
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resolutions = [
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(1024, 1024),
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(1152, 896),
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(896, 1152),
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(1216, 832),
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(832, 1216),
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(1344, 768),
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(768, 1344),
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(1536, 640),
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(640, 1536),
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]
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# Filter resolutions smaller than bbox, and any that could result in a total pixel size smaller than the current inpaint dimensions.
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resolutions = [
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res
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for res in resolutions
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if (res[0] >= bbox_width and res[1] >= bbox_height)
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and (res[0] >= inpaint_width or res[1] >= inpaint_height)
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]
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if not resolutions:
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return (inpaint_width, inpaint_height)
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optimal_resolution = min(
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resolutions,
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key=lambda res: abs((res[0] / res[1]) - bbox_aspect_ratio),
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optimal_resolution = optimal_crop_size.sdxl(
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inpaint_width, inpaint_height, bbox
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)
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elif calculate_optimal_crop == "Free":
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scale_size = max(inpaint_width, inpaint_height)
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if bbox_aspect_ratio > 1:
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optimal_width = scale_size
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optimal_height = scale_size / bbox_aspect_ratio
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else:
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optimal_width = scale_size * bbox_aspect_ratio
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optimal_height = scale_size
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elif calculate_optimal_crop == InpaintBBoxMatchMode.FREE.value:
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optimal_resolution = optimal_crop_size.free(
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inpaint_width, inpaint_height, bbox
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)
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# Round up to the nearest multiple of 8 to make the dimensions friendly for upscaling/diffusion.
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optimal_width = ((optimal_width + 8 - 1) // 8) * 8
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optimal_height = ((optimal_height + 8 - 1) // 8) * 8
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optimal_resolution = (int(optimal_width), int(optimal_height))
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else:
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msg = "[-] ADetailer: unsupported inpaint bounding box match mode. Original inpainting dimensions will be used."
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print(msg)
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@@ -873,14 +846,13 @@ class AfterDetailerScript(scripts.Script):
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p2.seed = self.get_each_tab_seed(seed, j)
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p2.subseed = self.get_each_tab_seed(subseed, j)
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p2.denoising_strength = self.get_dynamic_denoise_strength(
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p2.denoising_strength, pred.bboxes[j], pp.image.size
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)
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p2.cached_c = [None, None]
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p2.cached_uc = [None, None]
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p2.denoising_strength = self.get_dynamic_denoise_strength(
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p2.denoising_strength, pred.bboxes[j], pp.image
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)
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# Don't override user-defined dimensions.
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if not args.ad_use_inpaint_width_height:
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p2.width, p2.height = self.get_optimal_crop_image_size(
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@@ -1055,7 +1027,7 @@ def on_ui_settings():
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shared.opts.add_option(
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"ad_match_inpaint_bbox_size",
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shared.OptionInfo(
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default="Off",
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default=InpaintBBoxMatchMode.OFF.value, # Off
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component=gr.Radio,
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component_args={"choices": INPAINT_BBOX_MATCH_MODES},
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label="Try to match inpainting size to bounding box size, if 'Use separate width/height' is not set",
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