RUF013 updates

pull/4706/head
awsr 2026-03-24 04:27:30 -07:00
parent 6ab9b7bc62
commit 92960de8d6
No known key found for this signature in database
4 changed files with 10 additions and 10 deletions

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@ -173,7 +173,7 @@ class ExtraNetworkLora(extra_networks.ExtraNetwork):
def signature(self, names: list[str], te_multipliers: list, unet_multipliers: list):
return [f'{name}:{te}:{unet}' for name, te, unet in zip(names, te_multipliers, unet_multipliers, strict=False)]
def changed(self, requested: list[str], include: list[str] = None, exclude: list[str] = None) -> bool:
def changed(self, requested: list[str], include: list[str] | None = None, exclude: list[str] | None = None) -> bool:
if shared.opts.lora_force_reload:
debug_log(f'Network check: type=LoRA requested={requested} status=forced')
return True

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@ -378,7 +378,7 @@ def outpaint(input_image: Image.Image, outpaint_type: str = 'Edge'):
return image, mask
def run_mask(input_image: Image.Image, input_mask: Image.Image = None, return_type: str = None, mask_blur: int = None, mask_padding: int = None, invert=None):
def run_mask(input_image: Image.Image, input_mask: Image.Image | None = None, return_type: str | None = None, mask_blur: int | None = None, mask_padding: int | None = None, invert=None):
if isinstance(input_image, list) and len(input_image) > 0:
input_image = input_image[0]
elif isinstance(input_image, dict):

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@ -260,7 +260,7 @@ def calculate_model_hash(state_dict):
return func.hexdigest()
def convert(model_path:str, checkpoint_path:str, metadata:dict=None):
def convert(model_path: str, checkpoint_path: str, metadata: dict | None = None):
if metadata is None:
metadata = {}
unet_path = os.path.join(model_path, "unet", "diffusion_pytorch_model.safetensors")

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@ -65,7 +65,7 @@ def msg(text, err:bool=False):
return status
def load_base(override:str=None):
def load_base(override: str | None = None):
global pipeline # pylint: disable=global-statement
fn = override or recipe.base
yield msg(f'base={fn}')
@ -79,7 +79,7 @@ def load_base(override:str=None):
pipeline.vae.register_to_config(force_upcast = False)
def load_unet(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
def load_unet(pipe: diffusers.StableDiffusionXLPipeline, override: str | None = None):
if (recipe.unet is None or len(recipe.unet) == 0) and override is None:
return
fn = override or recipe.unet
@ -99,7 +99,7 @@ def load_unet(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
yield msg(f'unet: {e}')
def load_scheduler(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
def load_scheduler(pipe: diffusers.StableDiffusionXLPipeline, override: str | None = None):
if recipe.scheduler is None and override is None:
return
config = pipe.scheduler.config.__dict__
@ -114,7 +114,7 @@ def load_scheduler(pipe: diffusers.StableDiffusionXLPipeline, override:str=None)
def load_vae(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
def load_vae(pipe: diffusers.StableDiffusionXLPipeline, override: str | None = None):
if (recipe.vae is None or len(recipe.vae) == 0)and override is None:
return
fn = override or recipe.vae
@ -135,7 +135,7 @@ def load_vae(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
yield msg(f'vae: {e}')
def load_te1(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
def load_te1(pipe: diffusers.StableDiffusionXLPipeline, override: str | None = None):
if (recipe.te1 is None or len(recipe.te1) == 0) and override is None:
return
config = pipe.text_encoder.config.__dict__
@ -156,7 +156,7 @@ def load_te1(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
yield msg(f'te1: {e}')
def load_te2(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
def load_te2(pipe: diffusers.StableDiffusionXLPipeline, override: str | None = None):
if (recipe.te2 is None or len(recipe.te2) == 0) and override is None:
return
config = pipe.text_encoder_2.config.__dict__
@ -177,7 +177,7 @@ def load_te2(pipe: diffusers.StableDiffusionXLPipeline, override:str=None):
yield msg(f'te2: {e}')
def load_lora(pipe: diffusers.StableDiffusionXLPipeline, override: dict=None, fuse: float=None):
def load_lora(pipe: diffusers.StableDiffusionXLPipeline, override: dict | None = None, fuse: float | None = None):
if recipe.lora is None and override is None:
return
names = []