docs: type three boolean docstring parameters as bool, not str

src/diffusers/modular_pipelines/modular_pipeline.py

@@ -2609,7 +2609,7 @@ def to(self, *args, **kwargs) -> Self:
             device (`torch.Device`, *optional*):
                 Returns a pipeline with the specified
                 [`device`](https://pytorch.org/docs/stable/tensor_attributes.html#torch.device)
-            silence_dtype_warnings (`str`, *optional*, defaults to `False`):
+            silence_dtype_warnings (`bool`, *optional*, defaults to `False`):
                 Whether to omit warnings if the target `dtype` is not compatible with the target `device`.
 
         Returns:

src/diffusers/pipelines/pipeline_utils.py

@@ -420,7 +420,7 @@ def to(self, *args, **kwargs) -> Self:
             device (`torch.Device`, *optional*):
                 Returns a pipeline with the specified
                 [`device`](https://pytorch.org/docs/stable/tensor_attributes.html#torch.device)
-            silence_dtype_warnings (`str`, *optional*, defaults to `False`):
+            silence_dtype_warnings (`bool`, *optional*, defaults to `False`):
                 Whether to omit warnings if the target `dtype` is not compatible with the target `device`.
 
         Returns:

src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py

@@ -1210,7 +1210,7 @@ def download_from_original_stable_diffusion_ckpt(
             diffusion 2.1.
         device (`str`, *optional*, defaults to `None`):
             The device to use. Pass `None` to determine automatically.
-        from_safetensors (`str`, *optional*, defaults to `False`):
+        from_safetensors (`bool`, *optional*, defaults to `False`):
             If `checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.
         load_safety_checker (`bool`, *optional*, defaults to `True`):
             Whether to load the safety checker or not. Defaults to `True`.