mirror of https://github.com/vladmandic/automatic
RUF013 updates
parent
1003926646
commit
876e3b9897
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@ -372,7 +372,7 @@ class StableCascadePriorPipelineAPG(DiffusionPipeline):
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height: int = 1024,
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width: int = 1024,
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num_inference_steps: int = 20,
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timesteps: list[float] = None,
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timesteps: list[float] | None = None,
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guidance_scale: float = 4.0,
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negative_prompt: str | list[str] | None = None,
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prompt_embeds: torch.Tensor | None = None,
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@ -386,7 +386,7 @@ class StableCascadePriorPipelineAPG(DiffusionPipeline):
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output_type: str | None = "pt",
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return_dict: bool = True,
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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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):
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"""
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Function invoked when calling the pipeline for generation.
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@ -793,13 +793,13 @@ class StableDiffusionXLPipelineAPG(
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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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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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@ -826,7 +826,7 @@ class StableDiffusionXLPipelineAPG(
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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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**kwargs,
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):
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r"""
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@ -749,12 +749,12 @@ class StableDiffusionPipelineAPG(
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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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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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guidance_scale: float = 7.5,
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negative_prompt: str | list[str] | None = None,
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num_images_per_prompt: int | None = 1,
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@ -771,7 +771,7 @@ class StableDiffusionPipelineAPG(
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guidance_rescale: float = 0.0,
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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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**kwargs,
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):
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r"""
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