diff --git a/examples/community/pipeline_stg_hunyuan_video.py b/examples/community/pipeline_stg_hunyuan_video.py
index e41f99e13a22..06c3acd5d107 100644
--- a/examples/community/pipeline_stg_hunyuan_video.py
+++ b/examples/community/pipeline_stg_hunyuan_video.py
@@ -189,11 +189,14 @@ def retrieve_timesteps(
     elif sigmas is not None:
         accept_sigmas = "sigmas" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
         if not accept_sigmas:
-            raise ValueError(
+            logger.warning(
                 f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
-                f" sigmas schedules. Please check whether you are using the correct scheduler."
+                f" sigmas schedules. Please check whether you are using the correct scheduler. The pipeline"
+                f" will continue without setting sigma values"
             )
-        scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
+            scheduler.set_timesteps(num_inference_steps=num_inference_steps, device=device, **kwargs)
+        else:
+            scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
         timesteps = scheduler.timesteps
         num_inference_steps = len(timesteps)
     else:
@@ -723,9 +726,9 @@ def __call__(
                 timestep = t.expand(latents.shape[0]).to(latents.dtype)
 
                 if self.do_spatio_temporal_guidance:
-                    for i in stg_applied_layers_idx:
-                        self.transformer.transformer_blocks[i].forward = types.MethodType(
-                            forward_without_stg, self.transformer.transformer_blocks[i]
+                    for stg_idx in stg_applied_layers_idx:
+                        self.transformer.transformer_blocks[stg_idx].forward = types.MethodType(
+                            forward_without_stg, self.transformer.transformer_blocks[stg_idx]
                         )
 
                 noise_pred = self.transformer(
@@ -740,9 +743,9 @@ def __call__(
                 )[0]
 
                 if self.do_spatio_temporal_guidance:
-                    for i in stg_applied_layers_idx:
-                        self.transformer.transformer_blocks[i].forward = types.MethodType(
-                            forward_with_stg, self.transformer.transformer_blocks[i]
+                    for stg_idx in stg_applied_layers_idx:
+                        self.transformer.transformer_blocks[stg_idx].forward = types.MethodType(
+                            forward_with_stg, self.transformer.transformer_blocks[stg_idx]
                         )
 
                     noise_pred_perturb = self.transformer(
diff --git a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py
index 297d2a9c9396..7c2a958f8be6 100644
--- a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py
+++ b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_skyreels_image2video.py
@@ -139,11 +139,14 @@ def retrieve_timesteps(
     elif sigmas is not None:
         accept_sigmas = "sigmas" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
         if not accept_sigmas:
-            raise ValueError(
+            logger.warning(
                 f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
-                f" sigmas schedules. Please check whether you are using the correct scheduler."
+                f" sigmas schedules. Please check whether you are using the correct scheduler. The pipeline"
+                f" will continue without setting sigma values"
             )
-        scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
+            scheduler.set_timesteps(num_inference_steps, device=device)
+        else:
+            scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
         timesteps = scheduler.timesteps
         num_inference_steps = len(timesteps)
     else:
diff --git a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py
index 3cb91b3782f2..68aa81ee8f3c 100644
--- a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py
+++ b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py
@@ -128,11 +128,14 @@ def retrieve_timesteps(
     elif sigmas is not None:
         accept_sigmas = "sigmas" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
         if not accept_sigmas:
-            raise ValueError(
+            logger.warning(
                 f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
-                f" sigmas schedules. Please check whether you are using the correct scheduler."
+                f" sigmas schedules. Please check whether you are using the correct scheduler. The pipeline"
+                f" will continue without setting sigma values"
             )
-        scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
+            scheduler.set_timesteps(num_inference_steps, device=device)
+        else:
+            scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
         timesteps = scheduler.timesteps
         num_inference_steps = len(timesteps)
     else:
diff --git a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_image2video.py b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_image2video.py
index 5a600dda4326..c3b1a8c25cd9 100644
--- a/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_image2video.py
+++ b/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video_image2video.py
@@ -141,11 +141,14 @@ def retrieve_timesteps(
     elif sigmas is not None:
         accept_sigmas = "sigmas" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
         if not accept_sigmas:
-            raise ValueError(
+            logger.warning(
                 f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
-                f" sigmas schedules. Please check whether you are using the correct scheduler."
+                f" sigmas schedules. Please check whether you are using the correct scheduler. The pipeline"
+                f" will continue without setting sigma values"
             )
-        scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
+            scheduler.set_timesteps(num_inference_steps, device=device)
+        else:
+            scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs)
         timesteps = scheduler.timesteps
         num_inference_steps = len(timesteps)
     else: