diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py
index d7ae6aa886..6dda632bb6 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py
+++ b/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.
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py b/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py
index f7bb440a53..8f4320e230 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint.py
+++ b/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.