Update app.py

app.py

@@ -12,9 +12,10 @@ pipe = StableDiffusionPipeline.from_pretrained(model_path, use_safetensors=True,
 pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
 
 g_cuda = torch.Generator()
+g_seed=52362
 g_cuda.manual_seed(g_seed)
 
-def inference(prompt, negative_prompt, num_samples, height=512, width=512, num_inference_steps=50, guidance_scale=7.5, g_seed=52362):
+def inference(prompt, negative_prompt, num_samples, height=512, width=512, num_inference_steps=50, guidance_scale=7.5):
     with torch.inference_mode():
         return pipe(
                 prompt, height=int(height), width=int(width),