diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
index 550513b5c943..e764fc687ca5 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
@@ -4,7 +4,8 @@
 
 import torch
 
-from tqdm.auto import tqdm
+from tqdm.contrib import tenumerate
+
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 from ...models import AutoencoderKL, UNet2DConditionModel
@@ -126,7 +127,7 @@ def __call__(
         if accepts_eta:
             extra_step_kwargs["eta"] = eta
 
-        for i, t in tqdm(enumerate(self.scheduler.timesteps)):
+        for i, t in tenumerate(self.scheduler.timesteps):
             # expand the latents if we are doing classifier free guidance
             latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
             if isinstance(self.scheduler, LMSDiscreteScheduler):