Update app_lora.py

app_lora.py

@@ -765,7 +765,7 @@ def generate_image(prompt, height, width, steps, seed, guidance_scale=0.0):
    
 
     # Debug pipe info
-    log(pipeline_debug_info(pipe))
+    
 
     generator = torch.Generator().manual_seed(int(seed))
 
@@ -783,17 +783,7 @@ def generate_image(prompt, height, width, steps, seed, guidance_scale=0.0):
     )
 
     # Correct latent diagnostics (Z-Image uses VAE + Transformer)
-    try:
-        log(f"VAE latent channels: {pipe.vae.config.latent_channels}")
-        log(f"VAE scaling factor: {pipe.vae.config.scaling_factor}")
-        log(f"Transformer latent size: {pipe.transformer.config.sample_size}")
-        log(latent_shape_info(height, width, pipe))
-
-    except Exception as e:
-        log(f"Latent diagnostics error: {e}")
-
-    log("Pipeline finished.")
-    log("Returning images...")
+    
 
     return result.images, seed, log_buffer.getvalue()