Changed starting params.

app.py

@@ -19,7 +19,7 @@ def warmup():
     torch.backends.cuda.matmul.allow_tf32 = True
     torch.backends.cudnn.allow_tf32 = True
     torch.set_float32_matmul_precision("high")
-    
+
     print("🔥 Warmup starting: downloading models & building pipeline on CPU...")
     pipe = load_pipeline()
     print("🔥 Warmup done. Pipeline ready on CPU.")
@@ -121,7 +121,7 @@ Generate aesthetic, scanning-robust QR codes using the **DiffQRCoder** pipeline
         control_scale = gr.Slider(
             minimum=0.5,
             maximum=2.0,
-            value=1.35,
+            value=1,
             step=0.05,
             label="ControlNet conditioning scale",
         )
@@ -142,7 +142,7 @@ Generate aesthetic, scanning-robust QR codes using the **DiffQRCoder** pipeline
         srmpgd_iters = gr.Slider(
             minimum=0,
             maximum=64,
-            value=0,
+            value=6,
             step=1,
             label="SR-MPGD iterations (0 = disabled)",
         )

diffqrcoder_wrapper.py

@@ -94,16 +94,16 @@ def generate_qr_art(
     pipe: DiffQRCoderPipeline,
     url_or_text: str,
     prompt: str,
-    neg_prompt: str = "easynegative",
-    num_inference_steps: int = 20,          # gentler default
-    qrcode_module_size: int = 20,
+    neg_prompt: str = "harsh edges, high contrast QR blockiness, noise, muddy colors, ugly, disfigured, low quality, blurry, nsfw",
+    num_inference_steps: int = 14,          # gentler default
+    qrcode_module_size: int = 40,
     qrcode_padding: int = 78,
     controlnet_conditioning_scale: float = 1.35,
     scanning_robust_guidance_scale: float = 300.0,  # softer default
     perceptual_guidance_scale: float = 2.0,
     srmpgd_num_iteration: int | None = 0,   # 0 = disable SR-MPGD by default
     srmpgd_lr: float = 0.1,
-    seed: int = 1,
+    seed: int = 42,
 ) -> Image.Image:
     assert pipe is not None, "Pipeline must be loaded before calling generate_qr_art"