diff --git a/worker/generator.py b/worker/generator.py
index 4d42fa6..700d332 100755
--- a/worker/generator.py
+++ b/worker/generator.py
@@ -60,25 +60,37 @@ class SDXLGenerator:
             try:
                 dtype = torch.float16 if config.USE_FP16 else torch.float32
 
-                # Use DDIM scheduler for IP-Adapter compatibility
-                noise_scheduler = DDIMScheduler(
-                    num_train_timesteps=1000,
-                    beta_start=0.00085,
-                    beta_end=0.012,
-                    beta_schedule="scaled_linear",
-                    clip_sample=False,
-                    set_alpha_to_one=False,
-                    steps_offset=1,
-                )
-
-                self.pipeline = StableDiffusionXLPipeline.from_pretrained(
-                    config.SDXL_MODEL_ID,
-                    torch_dtype=dtype,
-                    scheduler=noise_scheduler,
-                    use_safetensors=True,
-                    cache_dir=str(config.MODELS_DIR),
-                    add_watermarker=False,
-                )
+                # Only use DDIM scheduler when IP-Adapter is enabled (it requires DDIM)
+                # Otherwise let the model use its default scheduler for best quality
+                if config.ENABLE_IP_ADAPTER:
+                    noise_scheduler = DDIMScheduler(
+                        num_train_timesteps=1000,
+                        beta_start=0.00085,
+                        beta_end=0.012,
+                        beta_schedule="scaled_linear",
+                        clip_sample=False,
+                        set_alpha_to_one=False,
+                        steps_offset=1,
+                    )
+                    logger.info("Using DDIM scheduler for IP-Adapter compatibility")
+                    
+                    self.pipeline = StableDiffusionXLPipeline.from_pretrained(
+                        config.SDXL_MODEL_ID,
+                        torch_dtype=dtype,
+                        scheduler=noise_scheduler,
+                        use_safetensors=True,
+                        cache_dir=str(config.MODELS_DIR),
+                        add_watermarker=False,
+                    )
+                else:
+                    # Use model's default scheduler for best quality
+                    self.pipeline = StableDiffusionXLPipeline.from_pretrained(
+                        config.SDXL_MODEL_ID,
+                        torch_dtype=dtype,
+                        use_safetensors=True,
+                        cache_dir=str(config.MODELS_DIR),
+                        add_watermarker=False,
+                    )
 
                 # Move to device
                 self.pipeline = self.pipeline.to(self.device)