Update app_lora1.py

app_lora1.py

@@ -35,6 +35,49 @@ def log(msg):
     log_buffer.write(msg + "\n")
 
 
+def pipeline_technology_info(pipe):
+    tech = []
+
+    # Device map
+    if hasattr(pipe, "hf_device_map"):
+        tech.append("Device map: enabled")
+    else:
+        tech.append(f"Device: {pipe.device}")
+
+    # Transformer dtype
+    if hasattr(pipe, "transformer"):
+        try:
+            tech.append(f"Transformer dtype: {pipe.transformer.dtype}")
+        except Exception:
+            pass
+
+        # Layerwise casting (Z-Image specific)
+        if hasattr(pipe.transformer, "layerwise_casting"):
+            lw = pipe.transformer.layerwise_casting
+            tech.append(
+                f"Layerwise casting: storage={lw.storage_dtype}, "
+                f"compute={lw.compute_dtype}"
+            )
+
+    # VAE dtype
+    if hasattr(pipe, "vae"):
+        try:
+            tech.append(f"VAE dtype: {pipe.vae.dtype}")
+        except Exception:
+            pass
+
+    # GGUF / quantization
+    if hasattr(pipe, "quantization_config"):
+        tech.append(f"Quantization: {pipe.quantization_config}")
+
+    # Attention backend
+    if hasattr(pipe, "config"):
+        attn = pipe.config.get("attn_implementation", None)
+        if attn:
+            tech.append(f"Attention: {attn}")
+
+    return "\n".join(f"• {t}" for t in tech)
+
 def pipeline_debug_info(pipe):
     return f"""
 Pipeline Info
@@ -155,7 +198,8 @@ def generate_image(
 # ✅ Correct, universal, ZeroGPU-safe
     if not hasattr(pipe, "hf_device_map"):
       pipe = pipe.to("cuda")
-
+    log("=== PIPELINE TECHNOLOGY ===")
+    log(pipeline_technology_info(pipe))
 
 
     log("=== NEW GENERATION REQUEST ===")