diff --git a/docs/source/en/api/pipelines/kandinsky5_video.md b/docs/source/en/api/pipelines/kandinsky5_video.md
index 46876051778f..395863ca99eb 100644
--- a/docs/source/en/api/pipelines/kandinsky5_video.md
+++ b/docs/source/en/api/pipelines/kandinsky5_video.md
@@ -64,10 +64,10 @@ from diffusers.utils import export_to_video
 model_id = "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
 pipe = Kandinsky5T2VPipeline.from_pretrained(model_id, dtype=torch.bfloat16)
 
-pipe = pipe.to("cuda")  # or "mps", "xpu", "cpu"
-pipeline.transformer.set_attention_backend("flex")                            # <--- Set attention backend to Flex
-pipeline.enable_model_cpu_offload()                                           # <--- Enable cpu offloading for single GPU inference
-pipeline.transformer.compile(mode="max-autotune-no-cudagraphs", dynamic=True) # <--- Compile with max-autotune-no-cudagraphs
+pipe = pipe.to("cuda")
+pipe.transformer.set_attention_backend("flex")                            # <--- Set attention bakend to Flex
+pipe.enable_model_cpu_offload()                                           # <--- Enable cpu offloading for single GPU inference
+pipe.transformer.compile(mode="max-autotune-no-cudagraphs", dynamic=True) # <--- Compile with max-autotune-no-cudagraphs
 
 # Generate video
 prompt = "A cat and a dog baking a cake together in a kitchen."