mirror of
https://github.com/Bing-su/adetailer.git
synced 2026-02-09 18:00:05 +00:00
@@ -1 +1 @@
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__version__ = "23.4.2"
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__version__ = "23.5.0.dev0"
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3
controlnet_ext/__init__.py
Normal file
3
controlnet_ext/__init__.py
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@@ -0,0 +1,3 @@
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from .controlnet_ext import ControlNetExt, controlnet_exists, get_cn_inpaint_models
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__all__ = ["ControlNetExt", "controlnet_exists", "get_cn_inpaint_models"]
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93
controlnet_ext/controlnet_ext.py
Normal file
93
controlnet_ext/controlnet_ext.py
Normal file
@@ -0,0 +1,93 @@
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from __future__ import annotations
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import importlib
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from functools import lru_cache
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from pathlib import Path
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from modules import sd_models, shared
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from modules.paths import data_path, models_path
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extensions_path = Path(data_path, "extensions")
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controlnet_exists = any(
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p.name == "sd-webui-controlnet" for p in extensions_path.iterdir() if p.is_dir()
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)
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class ControlNetExt:
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def __init__(self):
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self.cn_models = ["None"]
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self.cn_available = False
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self.external_cn = None
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def init_controlnet(self) -> bool:
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try:
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self.external_cn = importlib.import_module(
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"extensions.sd-webui-controlnet.scripts.external_code", "external_code"
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)
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self.cn_available = True
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models = self.external_cn.get_models()
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self.cn_models.extend(m for m in models if "inpaint" in m)
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return True
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except ImportError:
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return False
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def _update_scripts_args(self, p, model: str, weight: float):
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cn_units = [
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self.external_cn.ControlNetUnit(
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model=model,
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weight=weight,
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control_mode=self.external_cn.ControlMode.BALANCED,
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module="inpaint_global_harmonious",
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pixel_perfect=True,
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)
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]
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self.external_cn.update_cn_script_in_processing(p, cn_units)
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def update_scripts_args(self, p, model: str, weight: float):
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if self.cn_available and model != "None":
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self._update_scripts_args(p, model, weight)
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@lru_cache
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def _get_cn_inpaint_models() -> list[str]:
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"""
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Since we can't import ControlNet, we use a function that does something like
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controlnet's `list(global_state.cn_models_names.values())`.
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"""
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cn_model_exts = (".pt", ".pth", ".ckpt", ".safetensors")
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cn_model_dir = Path(models_path, "ControlNet")
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cn_model_dir_old = Path(extensions_path, "sd-webui-controlnet", "models")
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ext_dir1 = shared.opts.data.get("control_net_models_path", "")
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ext_dir2 = shared.opts.data.get("controlnet_dir", "")
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name_filter = shared.opts.data.get("control_net_models_name_filter", "")
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name_filter = name_filter.strip(" ").lower()
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model_paths = []
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for base in [cn_model_dir, cn_model_dir_old, ext_dir1, ext_dir2]:
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if not base:
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continue
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base = Path(base)
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if not base.exists():
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continue
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for p in base.rglob("*"):
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if p.is_file() and p.suffix in cn_model_exts and "inpaint" in p.name:
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if name_filter and name_filter not in p.name.lower():
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continue
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model_paths.append(p)
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model_paths.sort(key=lambda p: p.name)
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models = []
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for p in model_paths:
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model_hash = sd_models.model_hash(p)
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name = f"{p.stem} [{model_hash}]"
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models.append(name)
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return models
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def get_cn_inpaint_models() -> list[str]:
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if controlnet_exists:
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return _get_cn_inpaint_models()
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return []
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@@ -1,6 +1,7 @@
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from __future__ import annotations
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import platform
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import sys
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from copy import copy
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from pathlib import Path
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@@ -10,6 +11,7 @@ import torch
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import modules
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from adetailer import __version__, get_models, mediapipe_predict, ultralytics_predict
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from adetailer.common import dilate_erode, is_all_black, offset
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from controlnet_ext import ControlNetExt, controlnet_exists, get_cn_inpaint_models
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from modules import images, safe, script_callbacks, scripts, shared
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from modules.paths import data_path, models_path
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from modules.processing import (
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@@ -47,6 +49,8 @@ class ADetailerArgs:
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self.ad_inpaint_full_res: bool = args[9]
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self.ad_inpaint_full_res_padding: int = args[10]
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self.ad_cfg_scale: float = args[11]
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self.ad_controlnet_model: str = args[12]
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self.ad_controlnet_weight: float = args[13]
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def asdict(self):
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return {
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@@ -62,6 +66,8 @@ class ADetailerArgs:
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"ad_inpaint_full_res": self.ad_inpaint_full_res,
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"ad_inpaint_full_res_padding": self.ad_inpaint_full_res_padding,
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"ad_cfg_scale": self.ad_cfg_scale,
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"ad_controlnet_model": self.ad_controlnet_model,
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"ad_controlnet_weight": self.ad_controlnet_weight,
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}
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@@ -79,6 +85,10 @@ def gr_show(visible=True):
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class AfterDetailerScript(scripts.Script):
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def __init__(self):
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super().__init__()
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self.controlnet_ext = None
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def title(self):
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return AFTER_DETAILER
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@@ -196,6 +206,28 @@ class AfterDetailerScript(scripts.Script):
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visible=True,
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)
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cn_inpaint_models = ["None"] + get_cn_inpaint_models()
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with gr.Group():
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with gr.Row():
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ad_controlnet_model = gr.Dropdown(
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label="ControlNet model",
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choices=cn_inpaint_models,
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value="None",
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visible=controlnet_exists,
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type="value",
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)
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with gr.Row():
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ad_controlnet_weight = gr.Slider(
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label="ControlNet weight",
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minimum=0.0,
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maximum=1.0,
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step=0.05,
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value=1.0,
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visible=controlnet_exists,
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)
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all_widgets = [
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ad_model,
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ad_prompt,
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@@ -209,14 +241,10 @@ class AfterDetailerScript(scripts.Script):
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ad_inpaint_full_res,
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ad_inpaint_full_res_padding,
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ad_cfg_scale,
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ad_controlnet_model,
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ad_controlnet_weight,
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]
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def on_ad_model_change(model_name):
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visible = model_name != "None"
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return {widget: gr_show(visible) for widget in all_widgets[1:]}
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ad_model.change(on_ad_model_change, inputs=[ad_model], outputs=all_widgets[1:])
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self.infotext_fields = [
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(ad_model, "ADetailer model"),
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(ad_prompt, "ADetailer prompt"),
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@@ -230,12 +258,21 @@ class AfterDetailerScript(scripts.Script):
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(ad_inpaint_full_res, "ADetailer inpaint full"),
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(ad_inpaint_full_res_padding, "ADetailer inpaint padding"),
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(ad_cfg_scale, "ADetailer CFG scale"),
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(ad_controlnet_model, "ADetailer ControlNet model"),
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(ad_controlnet_weight, "ADetailer ControlNet weight"),
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]
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return all_widgets
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@staticmethod
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def init_controlnet_ext(self):
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if self.controlnet_ext is None:
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self.controlnet_ext = ControlNetExt()
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success = self.controlnet_ext.init_controlnet()
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if not success:
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print("[-] ADetailer: ControlNetExt init failed.", file=sys.stderr)
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def extra_params(
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self,
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ad_model,
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ad_prompt,
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ad_negative_prompt,
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@@ -248,6 +285,8 @@ class AfterDetailerScript(scripts.Script):
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ad_inpaint_full_res,
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ad_inpaint_full_res_padding,
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ad_cfg_scale,
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ad_controlnet_model,
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ad_controlnet_weight,
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):
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params = {
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"ADetailer model": ad_model,
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@@ -262,6 +301,8 @@ class AfterDetailerScript(scripts.Script):
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"ADetailer inpaint full": ad_inpaint_full_res,
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"ADetailer inpaint padding": ad_inpaint_full_res_padding,
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"ADetailer CFG scale": ad_cfg_scale,
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"ADetailer ControlNet model": ad_controlnet_model,
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"ADetailer ControlNet weight": ad_controlnet_weight,
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"ADetailer version": __version__,
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}
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@@ -269,6 +310,9 @@ class AfterDetailerScript(scripts.Script):
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params.pop("ADetailer prompt")
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if not ad_negative_prompt:
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params.pop("ADetailer negative prompt")
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if ad_controlnet_model == "None":
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params.pop("ADetailer ControlNet model")
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params.pop("ADetailer ControlNet weight")
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return params
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@@ -344,6 +388,16 @@ class AfterDetailerScript(scripts.Script):
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params_txt = Path(data_path, "params.txt")
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params_txt.write_text(infotext, encoding="utf-8")
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def update_controlnet_args(self, p, args):
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if (
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self.controlnet_ext is not None
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and self.controlnet_ext.cn_available
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and args.ad_controlnet_model != "None"
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):
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self.controlnet_ext.update_scripts_args(
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p, args.ad_controlnet_model, args.ad_controlnet_weight
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)
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def process(self, p, *args_):
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args = self.get_args(*args_)
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if args.ad_model != "None":
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@@ -359,6 +413,8 @@ class AfterDetailerScript(scripts.Script):
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if args.ad_model == "None":
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return
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self.init_controlnet_ext()
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p._idx = getattr(p, "_idx", -1) + 1
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i = p._idx
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@@ -407,6 +463,8 @@ class AfterDetailerScript(scripts.Script):
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i2i.script_args = p.script_args
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i2i._disable_adetailer = True
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self.update_controlnet_args(i2i, args)
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kwargs = {}
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if args.ad_model.lower().startswith("mediapipe"):
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predictor = mediapipe_predict
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@@ -456,7 +514,7 @@ class AfterDetailerScript(scripts.Script):
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processed = process_images(p2)
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p2 = copy(i2i)
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p2.init_images = processed.images
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p2.init_images = [processed.images[0]]
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p2.seed = seed + j + 1
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p2.subseed = subseed + j + 1
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