diff --git a/docs/source/en/api/pipelines/cogvideox.md b/docs/source/en/api/pipelines/cogvideox.md
index 4254246fee..41a0fd0220 100644
--- a/docs/source/en/api/pipelines/cogvideox.md
+++ b/docs/source/en/api/pipelines/cogvideox.md
@@ -98,6 +98,12 @@ It is also worth noting that torchao quantization is fully compatible with [torc
   - all
   - __call__
 
+## CogVideoXVideoToVideoPipeline
+
+[[autodoc]] CogVideoXVideoToVideoPipeline
+  - all
+  - __call__
+
 ## CogVideoXPipelineOutput
 
-[[autodoc]] pipelines.cogvideo.pipeline_cogvideox.CogVideoXPipelineOutput
+[[autodoc]] pipelines.cogvideo.pipeline_output.CogVideoXPipelineOutput
diff --git a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py
index 38788b409f..bc96a4ef12 100644
--- a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py
+++ b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py
@@ -42,20 +42,25 @@ EXAMPLE_DOC_STRING = """
     Examples:
         ```python
         >>> import torch
-        >>> from diffusers import CogVideoXPipeline
-        >>> from diffusers.utils import export_to_video
+        >>> from diffusers import CogVideoXDPMScheduler, CogVideoXVideoToVideoPipeline
+        >>> from diffusers.utils import export_to_video, load_video
 
         >>> # Models: "THUDM/CogVideoX-2b" or "THUDM/CogVideoX-5b"
-        >>> pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-2b", torch_dtype=torch.float16).to("cuda")
+        >>> pipe = CogVideoXVideoToVideoPipeline.from_pretrained("THUDM/CogVideoX-5b", torch_dtype=torch.bfloat16)
+        >>> pipe.to("cuda")
+        >>> pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config)
+
+        >>> input_video = load_video("hiker.mp4")[:49]  # TODO: update with HF docs URL
         >>> prompt = (
-        ...     "A panda, dressed in a small, red jacket and a tiny hat, sits on a wooden stool in a serene bamboo forest. "
-        ...     "The panda's fluffy paws strum a miniature acoustic guitar, producing soft, melodic tunes. Nearby, a few other "
-        ...     "pandas gather, watching curiously and some clapping in rhythm. Sunlight filters through the tall bamboo, "
-        ...     "casting a gentle glow on the scene. The panda's face is expressive, showing concentration and joy as it plays. "
-        ...     "The background includes a small, flowing stream and vibrant green foliage, enhancing the peaceful and magical "
-        ...     "atmosphere of this unique musical performance."
+        ...     "An astronaut stands triumphantly at the peak of a towering mountain. Panorama of rugged peaks and "
+        ...     "valleys. Very futuristic vibe and animated aesthetic. Highlights of purple and golden colors in "
+        ...     "the scene. The sky is looks like an animated/cartoonish dream of galaxies, nebulae, stars, planets, "
+        ...     "moons, but the remainder of the scene is mostly realistic."
         ... )
-        >>> video = pipe(prompt=prompt, guidance_scale=6, num_inference_steps=50).frames[0]
+
+        >>> video = pipe(
+        ...     video=input_video, prompt=prompt, strength=0.8, guidance_scale=6, num_inference_steps=50
+        ... ).frames[0]
         >>> export_to_video(video, "output.mp4", fps=8)
         ```
 """