Fix static typing and doc typos (#8807)

* Fix static typing and doc typos

* Fix more same type hint typos with make fix-copies

src/diffusers/schedulers/scheduling_ddim.py

@@ -377,7 +377,7 @@ class DDIMScheduler(SchedulerMixin, ConfigMixin):
                 Whether or not to return a [`~schedulers.scheduling_ddim.DDIMSchedulerOutput`] or `tuple`.
 
         Returns:
-            [`~schedulers.scheduling_utils.DDIMSchedulerOutput`] or `tuple`:
+            [`~schedulers.scheduling_ddim.DDIMSchedulerOutput`] or `tuple`:
                 If return_dict is `True`, [`~schedulers.scheduling_ddim.DDIMSchedulerOutput`] is returned, otherwise a
                 tuple is returned where the first element is the sample tensor.
 

src/diffusers/schedulers/scheduling_ddpm.py

@@ -194,7 +194,7 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
         sample_max_value: float = 1.0,
         timestep_spacing: str = "leading",
         steps_offset: int = 0,
-        rescale_betas_zero_snr: int = False,
+        rescale_betas_zero_snr: bool = False,
     ):
         if trained_betas is not None:
             self.betas = torch.tensor(trained_betas, dtype=torch.float32)

src/diffusers/schedulers/scheduling_ddpm_parallel.py

@@ -202,7 +202,7 @@ class DDPMParallelScheduler(SchedulerMixin, ConfigMixin):
         sample_max_value: float = 1.0,
         timestep_spacing: str = "leading",
         steps_offset: int = 0,
-        rescale_betas_zero_snr: int = False,
+        rescale_betas_zero_snr: bool = False,
     ):
         if trained_betas is not None:
             self.betas = torch.tensor(trained_betas, dtype=torch.float32)