mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
RUF013 update
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@@ -545,9 +545,9 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
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@replace_example_docstring(EXAMPLE_DOC_STRING)
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def __call__(
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self,
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prompt: str | list[str] = None,
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prompt: str | list[str] | None = None,
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prompt_2: str | list[str] | None = None,
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image: PipelineImageInput = None,
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image: PipelineImageInput | None = None,
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height: int | None = None,
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width: int | None = None,
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num_inference_steps: int = 50,
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@@ -570,15 +570,15 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
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guess_mode: bool = False,
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control_guidance_start: float | list[float] = 0.0,
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control_guidance_end: float | list[float] = 1.0,
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original_size: tuple[int, int] = None,
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original_size: tuple[int, int] | None = None,
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crops_coords_top_left: tuple[int, int] = (0, 0),
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target_size: tuple[int, int] = None,
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target_size: tuple[int, int] | None = None,
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negative_original_size: tuple[int, int] | None = None,
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negative_crops_coords_top_left: tuple[int, int] = (0, 0),
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negative_target_size: tuple[int, int] | None = None,
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clip_skip: int | None = None,
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callback_on_step_end: Callable[[int, int, dict], None] | None = None,
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callback_on_step_end_tensor_inputs: list[str] = None,
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callback_on_step_end_tensor_inputs: list[str] | None = None,
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**kwargs,
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):
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r"""
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@@ -445,13 +445,13 @@ class PhotoMakerStableDiffusionXLPipeline(StableDiffusionXLPipeline):
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@torch.no_grad()
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def __call__(
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self,
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prompt: str | list[str] = None,
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prompt: str | list[str] | None = None,
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prompt_2: str | list[str] | None = None,
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height: int | None = None,
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width: int | None = None,
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num_inference_steps: int = 50,
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timesteps: list[int] = None,
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sigmas: list[float] = None,
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timesteps: list[int] | None = None,
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sigmas: list[float] | None = None,
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denoising_end: float | None = None,
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guidance_scale: float = 5.0,
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negative_prompt: str | list[str] | None = None,
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@@ -478,7 +478,7 @@ class PhotoMakerStableDiffusionXLPipeline(StableDiffusionXLPipeline):
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negative_target_size: tuple[int, int] | None = None,
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clip_skip: int | None = None,
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callback_on_step_end: Callable[[int, int, dict], None] | PipelineCallback | MultiPipelineCallbacks | None = None,
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callback_on_step_end_tensor_inputs: list[str] = None,
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callback_on_step_end_tensor_inputs: list[str] | None = None,
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# Added parameters (for PhotoMaker)
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input_id_images: PipelineImageInput = None,
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start_merge_step: int = 10,
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