Fix callback type hints - no optional function argument (#2357)

replace type hints

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py

@@ -257,7 +257,7 @@ class OnnxStableDiffusionInpaintPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, np.ndarray], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint_legacy.py

@@ -239,7 +239,7 @@ class OnnxStableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, np.ndarray], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

@@ -472,7 +472,7 @@ class StableDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         cross_attention_kwargs: Optional[Dict[str, Any]] = None,
     ):
         r"""

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py

@@ -497,7 +497,7 @@ class StableDiffusionDepth2ImgPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_image_variation.py

@@ -274,7 +274,7 @@ class StableDiffusionImageVariationPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py

@@ -543,7 +543,7 @@ class StableDiffusionImg2ImgPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py

@@ -609,7 +609,7 @@ class StableDiffusionInpaintPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py

@@ -495,7 +495,7 @@ class StableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py

@@ -141,7 +141,7 @@ class StableDiffusionInstructPix2PixPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_k_diffusion.py

@@ -364,7 +364,7 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_latent_upscale.py

@@ -291,7 +291,7 @@ class StableDiffusionLatentUpscalePipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py

@@ -388,7 +388,7 @@ class StableDiffusionUpscalePipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py

@@ -620,7 +620,7 @@ class StableUnCLIPPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         cross_attention_kwargs: Optional[Dict[str, Any]] = None,
         noise_level: int = 0,
         # prior args

src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py

@@ -587,7 +587,7 @@ class StableUnCLIPImg2ImgPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         cross_attention_kwargs: Optional[Dict[str, Any]] = None,
         noise_level: int = 0,
         image_embeds: Optional[torch.FloatTensor] = None,

src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py

@@ -512,7 +512,7 @@ class StableDiffusionPipelineSafe(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         sld_guidance_scale: Optional[float] = 1000,
         sld_warmup_steps: Optional[int] = 10,
         sld_threshold: Optional[float] = 0.01,

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion.py

@@ -95,7 +95,7 @@ class VersatileDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.
@@ -211,7 +211,7 @@ class VersatileDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.
@@ -324,7 +324,7 @@ class VersatileDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ):
         r"""
         Function invoked when calling the pipeline for generation.

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_dual_guided.py

@@ -419,7 +419,7 @@ class VersatileDiffusionDualGuidedPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_image_variation.py

@@ -271,7 +271,7 @@ class VersatileDiffusionImageVariationPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py

@@ -353,7 +353,7 @@ class VersatileDiffusionTextToImagePipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
         **kwargs,
     ):
         r"""

src/diffusers/pipelines/vq_diffusion/pipeline_vq_diffusion.py

@@ -176,7 +176,7 @@ class VQDiffusionPipeline(DiffusionPipeline):
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
         callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: Optional[int] = 1,
+        callback_steps: int = 1,
     ) -> Union[ImagePipelineOutput, Tuple]:
         """
         Function invoked when calling the pipeline for generation.