style: apply black, fix by ruff

This commit is contained in:
Dowon
2024-02-27 21:32:40 +09:00
parent 1441b55d6f
commit 9248b79504
4 changed files with 45 additions and 45 deletions

View File

@@ -13,13 +13,14 @@ from controlnet_ext import controlnet_exists, controlnet_forge, get_cn_models
if controlnet_forge:
from lib_controlnet import global_state
cn_module_choices = {
"inpaint": list(m for m in global_state.get_filtered_preprocessors("Inpaint")),
"lineart": list(m for m in global_state.get_filtered_preprocessors("Lineart")),
"openpose": list(m for m in global_state.get_filtered_preprocessors("OpenPose")),
"tile": list(m for m in global_state.get_filtered_preprocessors("Tile")),
"scribble": list(m for m in global_state.get_filtered_preprocessors("Scribble")),
"depth": list(m for m in global_state.get_filtered_preprocessors("Depth")),
"inpaint": list(global_state.get_filtered_preprocessors("Inpaint")),
"lineart": list(global_state.get_filtered_preprocessors("Lineart")),
"openpose": list(global_state.get_filtered_preprocessors("OpenPose")),
"tile": list(global_state.get_filtered_preprocessors("Tile")),
"scribble": list(global_state.get_filtered_preprocessors("Scribble")),
"depth": list(global_state.get_filtered_preprocessors("Depth")),
}
else:
cn_module_choices = {

View File

@@ -8,7 +8,7 @@ from textwrap import dedent
from modules import extensions, sd_models, shared
from .common import cn_model_regex
from .common import cn_model_module, cn_model_regex
try:
from modules.paths import extensions_builtin_dir, extensions_dir, models_path

View File

@@ -1,7 +1,6 @@
from __future__ import annotations
import copy
import sys
import numpy as np
from lib_controlnet import external_code, global_state
@@ -15,13 +14,18 @@ from .common import cn_model_regex
controlnet_exists = True
controlnet_forge = True
def find_script(p : StableDiffusionProcessing, script_title : str) -> scripts.Script:
script = next((s for s in p.scripts.scripts if s.title() == script_title ), None)
def find_script(p: StableDiffusionProcessing, script_title: str) -> scripts.Script:
script = next((s for s in p.scripts.scripts if s.title() == script_title), None)
if not script:
raise Exception("Script not found: " + script_title)
msg = f"Script not found: {script_title!r}"
raise RuntimeError(msg)
return script
def add_forge_script_to_adetailer_run(p: StableDiffusionProcessing, script_title : str, script_args : list):
def add_forge_script_to_adetailer_run(
p: StableDiffusionProcessing, script_title: str, script_args: list
):
p.scripts = copy.copy(scripts.scripts_img2img)
p.scripts.alwayson_scripts = []
p.script_args_value = []
@@ -32,6 +36,7 @@ def add_forge_script_to_adetailer_run(p: StableDiffusionProcessing, script_title
p.scripts.alwayson_scripts.append(script)
p.script_args_value.extend(script_args)
class ControlNetExt:
def __init__(self):
self.cn_available = False
@@ -52,41 +57,35 @@ class ControlNetExt:
if (not self.cn_available) or model == "None":
return
if controlnet_forge:
image = np.asarray(p.init_images[0])
mask = np.zeros_like(image)
mask[:] = 255
image = np.asarray(p.init_images[0])
mask = np.zeros_like(image)
mask[:] = 255
cnet_image = {
"image": image,
"mask": mask
}
cnet_image = {"image": image, "mask": mask}
pres = external_code.pixel_perfect_resolution(
image,
target_H=p.height,
target_W=p.width,
resize_mode=external_code.resize_mode_from_value(p.resize_mode)
)
pres = external_code.pixel_perfect_resolution(
image,
target_H=p.height,
target_W=p.width,
resize_mode=external_code.resize_mode_from_value(p.resize_mode),
)
add_forge_script_to_adetailer_run(
p,
"ControlNet",
[
ControlNetUnit(
enabled=True,
image=cnet_image,
model=model,
module=module,
weight=weight,
guidance_start=guidance_start,
guidance_end=guidance_end,
processor_res=pres
)
]
)
return
add_forge_script_to_adetailer_run(
p,
"ControlNet",
[
ControlNetUnit(
enabled=True,
image=cnet_image,
model=model,
module=module,
weight=weight,
guidance_start=guidance_start,
guidance_end=guidance_end,
processor_res=pres,
)
],
)
def get_cn_models() -> list[str]:

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@@ -667,7 +667,7 @@ class AfterDetailerScript(scripts.Script):
else:
p._ad_disabled = True
def _postprocess_image_inner(
def _postprocess_image_inner( # noqa: C901
self, p, pp, args: ADetailerArgs, *, n: int = 0
) -> bool:
"""