diff --git a/docs/source/en/tutorials/using_peft_for_inference.md b/docs/source/en/tutorials/using_peft_for_inference.md
index 5cd47f8674e1..7bdd2a1ee969 100644
--- a/docs/source/en/tutorials/using_peft_for_inference.md
+++ b/docs/source/en/tutorials/using_peft_for_inference.md
@@ -94,7 +94,7 @@ pipeline = AutoPipelineForText2Image.from_pretrained(
 pipeline.unet.load_lora_adapter(
     "jbilcke-hf/sdxl-cinematic-1",
     weight_name="pytorch_lora_weights.safetensors",
-    adapter_name="cinematic"
+    adapter_name="cinematic",
     prefix="unet"
 )
 # use cnmt in the prompt to trigger the LoRA
@@ -688,4 +688,4 @@ Browse the [LoRA Studio](https://lorastudio.co/models) for different LoRAs to us
 
 You can find additional LoRAs in the [FLUX LoRA the Explorer](https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer) and [LoRA the Explorer](https://huggingface.co/spaces/multimodalart/LoraTheExplorer) Spaces.
 
-Check out the [Fast LoRA inference for Flux with Diffusers and PEFT](https://huggingface.co/blog/lora-fast) blog post to learn how to optimize LoRA inference with methods like FlashAttention-3 and fp8 quantization.
\ No newline at end of file
+Check out the [Fast LoRA inference for Flux with Diffusers and PEFT](https://huggingface.co/blog/lora-fast) blog post to learn how to optimize LoRA inference with methods like FlashAttention-3 and fp8 quantization.