diff --git a/src/diffusers/callbacks.py b/src/diffusers/callbacks.py
index 3050f565b3cc..8b32c03edb79 100644
--- a/src/diffusers/callbacks.py
+++ b/src/diffusers/callbacks.py
@@ -8,10 +8,17 @@ class PipelineCallback(ConfigMixin):
     config_name = CONFIG_NAME
 
     @register_to_config
-    def __init__(self, cutoff_step_ratio=1.0):
+    def __init__(self, cutoff_step_ratio=1.0, cutoff_step_index=None):
         super().__init__()
 
-        if not isinstance(cutoff_step_ratio, float) or not (0.0 <= cutoff_step_ratio <= 1.0):
+        if (cutoff_step_ratio is None and cutoff_step_index is None) or (
+            cutoff_step_ratio is not None and cutoff_step_index is not None
+        ):
+            raise ValueError("Either cutoff_step_ratio or cutoff_step_index should be provided, not both or none.")
+
+        if cutoff_step_ratio is not None and (
+            not isinstance(cutoff_step_ratio, float) or not (0.0 <= cutoff_step_ratio <= 1.0)
+        ):
             raise ValueError("cutoff_step_ratio must be a float between 0.0 and 1.0.")
 
     @property
@@ -45,8 +52,14 @@ class SDCFGCutoffCallback(PipelineCallback):
 
     def callback_fn(self, pipeline, step_index, timestep, callback_kwargs):
         cutoff_step_ratio = self.config.cutoff_step_ratio
+        cutoff_step_index = self.config.cutoff_step_index
+
+        # Use cutoff_step_index if it's not None, otherwise use cutoff_step_ratio
+        cutoff_step = (
+            cutoff_step_index if cutoff_step_index is not None else int(pipeline.num_timesteps * cutoff_step_ratio)
+        )
 
-        if step_index == int(pipeline.num_timesteps * cutoff_step_ratio):
+        if step_index == cutoff_step:
             prompt_embeds = callback_kwargs[self.tensor_inputs[0]]
             prompt_embeds = prompt_embeds[-1:]
 
@@ -61,8 +74,14 @@ class SDXLCFGCutoffCallback(PipelineCallback):
 
     def callback_fn(self, pipeline, step_index, timestep, callback_kwargs):
         cutoff_step_ratio = self.config.cutoff_step_ratio
+        cutoff_step_index = self.config.cutoff_step_index
 
-        if step_index == int(pipeline.num_timesteps * cutoff_step_ratio):
+        # Use cutoff_step_index if it's not None, otherwise use cutoff_step_ratio
+        cutoff_step = (
+            cutoff_step_index if cutoff_step_index is not None else int(pipeline.num_timesteps * cutoff_step_ratio)
+        )
+
+        if step_index == cutoff_step:
             prompt_embeds = callback_kwargs[self.tensor_inputs[0]]
             prompt_embeds = prompt_embeds[-1:]
 
@@ -85,7 +104,13 @@ class IPAdapterScaleCutoffCallback(PipelineCallback):
 
     def callback_fn(self, pipeline, step_index, timestep, callback_kwargs):
         cutoff_step_ratio = self.config.cutoff_step_ratio
+        cutoff_step_index = self.config.cutoff_step_index
+
+        # Use cutoff_step_index if it's not None, otherwise use cutoff_step_ratio
+        cutoff_step = (
+            cutoff_step_index if cutoff_step_index is not None else int(pipeline.num_timesteps * cutoff_step_ratio)
+        )
 
-        if step_index == int(pipeline.num_timesteps * cutoff_step_ratio):
+        if step_index == cutoff_step:
             pipeline.set_ip_adapter_scale(0.0)
         return callback_kwargs