Update ONNX Pipelines to use np.float64 instead of np.float (#1789)

Numpy 1.24 had removed the "float" scalar alias as it was depricated in v1.20.
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
https://numpy.org/devdocs/release/1.24.0-notes.html#expired-deprecations

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py

@@ -247,7 +247,7 @@ class OnnxStableDiffusionPipeline(DiffusionPipeline):
         # set timesteps
         self.scheduler.set_timesteps(num_inference_steps)
 
-        latents = latents * np.float(self.scheduler.init_noise_sigma)
+        latents = latents * np.float64(self.scheduler.init_noise_sigma)
 
         # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
         # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py

@@ -398,7 +398,7 @@ class OnnxStableDiffusionInpaintPipeline(DiffusionPipeline):
         self.scheduler.set_timesteps(num_inference_steps)
 
         # scale the initial noise by the standard deviation required by the scheduler
-        latents = latents * np.float(self.scheduler.init_noise_sigma)
+        latents = latents * np.float64(self.scheduler.init_noise_sigma)
 
         # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
         # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.