diff --git a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py
index 82839ffd2c92..b084d6d2dc67 100644
--- a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py
+++ b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py
@@ -521,7 +521,7 @@ def __call__(
             num_frames (`int`, defaults to `48`):
                 Number of frames to generate. Must be divisible by self.vae_scale_factor_temporal. Generated video will
                 contain 1 extra frame because CogVideoX is conditioned with (num_seconds * fps + 1) frames where
-                num_seconds is 6 and fps is 4. However, since videos can be saved at any fps, the only condition that
+                num_seconds is 6 and fps is 8. However, since videos can be saved at any fps, the only condition that
                 needs to be satisfied is that of divisibility mentioned above.
             num_inference_steps (`int`, *optional*, defaults to 50):
                 The number of denoising steps. More denoising steps usually lead to a higher quality image at the
diff --git a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_image2video.py b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_image2video.py
index 975e8ed27db8..a6171b93cc22 100644
--- a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_image2video.py
+++ b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_image2video.py
@@ -604,7 +604,7 @@ def __call__(
             num_frames (`int`, defaults to `48`):
                 Number of frames to generate. Must be divisible by self.vae_scale_factor_temporal. Generated video will
                 contain 1 extra frame because CogVideoX is conditioned with (num_seconds * fps + 1) frames where
-                num_seconds is 6 and fps is 4. However, since videos can be saved at any fps, the only condition that
+                num_seconds is 6 and fps is 8. However, since videos can be saved at any fps, the only condition that
                 needs to be satisfied is that of divisibility mentioned above.
             num_inference_steps (`int`, *optional*, defaults to 50):
                 The number of denoising steps. More denoising steps usually lead to a higher quality image at the