Update handler.py

handler.py

@@ -15,7 +15,7 @@ class EndpointHandler:
 
         print("Loading LoRA weights from: Texttra/Cityscape_Studio")
         self.pipe.load_lora_weights("Texttra/Cityscape_Studio", weight_name="c1t3_v1.safetensors")
-        self.pipe.fuse_lora(lora_scale=1.0)
+        self.pipe.fuse_lora(lora_scale=0.9)
 
         self.pipe.to("cuda" if torch.cuda.is_available() else "cpu")
         print("Model initialized successfully.")
@@ -32,7 +32,7 @@ class EndpointHandler:
 
         image = self.pipe(
             prompt,
-            num_inference_steps=28,
+            num_inference_steps=50,
             guidance_scale=4.5
         ).images[0]
         print("Image generated.")