diff --git a/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/attention_processor.patch b/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/attention_processor.patch
index 85bf489873124cc89478d0d99d61894d0c508924..1af326b75c1717aa5629b28ac90bb6d9c3a0a641 100644
--- a/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/attention_processor.patch
+++ b/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/attention_processor.patch
@@ -14,7 +14,7 @@
 +            hidden_states=torch_npu.npu_prompt_flash_attention(query,key,value,
 +                                                               atten_mask=attention_mask,
 +                                                               input_layout='BNSD',
-+                                                               scale_vaule=head_dim**-0.5,
++                                                               scale_value=head_dim**-0.5,
 +                                                               pre_tokens=65535,
 +                                                               next_tokens=65535,
 +                                                               num_heads=attn.heads)
diff --git a/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/stable_audio_open_pipeline.py b/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/stable_audio_open_pipeline.py
index f6682fb2d97f0ab0c00c510c7b89ec3cb7b0d3ea..39bcd361dead653d7a7bf52d19e81fa7849db765 100644
--- a/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/stable_audio_open_pipeline.py
+++ b/MindIE/MindIE-Torch/built-in/foundation/stable-audio-open-1.0/stable_audio_open_pipeline.py
@@ -97,7 +97,6 @@ def main():
         data = reader.read()
     json_data = json.loads(data)
     init_dict = {key: json_data[key] for key in json_data}
-    print(init_dict)
     vae = AutoencoderOobleck(**init_dict)
     vae.load_state_dict(load_file(args.stable_audio_open_dir + "/vae/diffusion_pytorch_model.safetensors"), strict=False)
 
@@ -126,7 +125,7 @@ def main():
                 npu_stream.synchronize()
                 begin = time.time()
                 audio = pipe(
-                    prompt=args.prompt,
+                    prompt=prompt,
                     negative_prompt=args.negative_prompt,
                     num_inference_steps=args.num_inference_steps,
                     latents=args.latents.to("npu"),