[Update]: Improved Stable Diffusion initialization and Gradio configuration 🌟

- Added: Enhanced logging for Stable Diffusion model loading, including GPU and CPU mode messages.
- Updated: Refined memory optimizations to clarify GPU-specific settings.
- Improved: Gradio interface comments for better understanding of configuration options.
- Pro Tip of the Commit: Clear messages are like breadcrumbs leading the way through the code forest! 🍞🌲
Aye, Aye! 🚢

app.py

@@ -59,27 +59,37 @@ try:
     
     # Initialize Stable Diffusion pipeline with Zero GPU optimizations
     try:
+        model_id = "stabilityai/stable-diffusion-xl-base-1.0"
+        print(f"Loading Stable Diffusion model: {model_id}")
+        
+        # Always use float32 for CPU, only use float16 for GPU
+        model_dtype = torch.float16 if device == "cuda" else torch.float32
+        
         pipe = DiffusionPipeline.from_pretrained(
-            "stabilityai/stable-diffusion-xl-base-1.0",
-            torch_dtype=torch.float16 if device == "cuda" else torch.float32,
+            model_id,
+            torch_dtype=model_dtype,
             use_safetensors=True,
             variant="fp16" if device == "cuda" else None
         )
         pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_config(pipe.scheduler.config)
         pipe.to(device)
         
-        # Enable memory optimizations
+        # Enable memory optimizations only on GPU
         if device == "cuda":
             pipe.enable_model_cpu_offload()
             pipe.enable_vae_slicing()
             pipe.enable_vae_tiling()
-            # Enable attention slicing for lower memory usage
             pipe.enable_attention_slicing(slice_size="max")
+            print("✨ Stable Diffusion loaded with GPU optimizations")
+        else:
+            print("✨ Stable Diffusion loaded in CPU mode")
+            
     except Exception as e:
-        print(f"Warning: Failed to initialize Stable Diffusion: {e}")
+        print(f"⚠️ Warning: Failed to initialize Stable Diffusion: {e}")
+        STABLE_DIFFUSION_AVAILABLE = False
         pipe = None
 except ImportError:
-    print("Warning: diffusers package not available. Artistic visualization will be disabled.")
+    print("⚠️ Warning: diffusers package not available. Artistic visualization will be disabled.")
 
 # Create a directory for memory snapshots if it doesn't exist
 MEMORY_DIR = "memory_snapshots"
@@ -961,12 +971,16 @@ def create_interface():
     return demo
 
 if __name__ == "__main__":
-    # Add Hugging Face Space-specific configuration
+    # Configure Gradio for Hugging Face Spaces
     demo = create_interface()
-    demo.queue(max_size=10)  # Enable queuing for better resource management
+    
+    # Enable queuing for better resource management
+    demo.queue(max_size=10)
+    
+    # Launch with Spaces-compatible settings
     demo.launch(
-        share=False,  # Don't create a public link
         server_name="0.0.0.0",  # Listen on all interfaces
-        server_port=7860,  # Default Spaces port
-        show_api=False,  # Hide API docs
+        server_port=7860,       # Default Spaces port
+        share=False,            # Don't create public link
+        show_api=False         # Hide API docs
     )