feat: remove GPU support and simplify to CPU-only architecture

app/routers/health.py

@@ -75,20 +75,6 @@ async def get_system_info() -> SystemInfo:
         disk = psutil.disk_usage('/')
         disk_percent = disk.percent
         
-        # GPU
-        gpu_available = False
-        gpu_memory_mb = None
-        gpu_memory_used_mb = None
-        
-        try:
-            import torch
-            gpu_available = torch.cuda.is_available()
-            if gpu_available:
-                gpu_memory_mb = int(torch.cuda.get_device_properties(0).total_memory / (1024 * 1024))
-                gpu_memory_used_mb = int(torch.cuda.memory_allocated(0) / (1024 * 1024))
-        except Exception:
-            pass
-        
         # Models directory size
         models_size = file_manager.get_directory_size_mb(settings.models_dir)
         
@@ -103,9 +89,6 @@ async def get_system_info() -> SystemInfo:
             cpu_usage_percent=cpu_percent,
             memory_usage_percent=memory_percent,
             disk_usage_percent=disk_percent,
-            gpu_available=gpu_available,
-            gpu_memory_mb=gpu_memory_mb,
-            gpu_memory_used_mb=gpu_memory_used_mb,
             execution_providers=settings.get_execution_providers(),
             models_dir_size_mb=models_size,
             jobs_queue_length=queue_length,

app/schemas/health.py

@@ -20,9 +20,6 @@ class SystemInfo(BaseModel):
     cpu_usage_percent: float
     memory_usage_percent: float
     disk_usage_percent: float
-    gpu_available: bool
-    gpu_memory_mb: Optional[int] = None
-    gpu_memory_used_mb: Optional[int] = None
     execution_providers: list
     models_dir_size_mb: float
     jobs_queue_length: int

app/services/realesrgan_bridge.py

@@ -83,7 +83,7 @@ class RealESRGANBridge:
                 tile=settings.tile_size,
                 tile_pad=settings.tile_pad,
                 pre_pad=0,
-                half=('cuda' in settings.get_execution_providers()),
+                half=False,
             )
             
             self.current_model = model_name
@@ -134,7 +134,7 @@ class RealESRGANBridge:
                 tile=settings.tile_size,
                 tile_pad=settings.tile_pad,
                 pre_pad=0,
-                half=('cuda' in settings.get_execution_providers()),
+                half=False,
             )
             
             self.current_model = model_name
@@ -198,15 +198,6 @@ class RealESRGANBridge:
             return self.upsampler.scale
         return 4
 
-    def clear_memory(self) -> None:
-        """Clear GPU memory if available."""
-        try:
-            import torch
-            torch.cuda.empty_cache()
-            logger.debug('GPU memory cleared')
-        except Exception:
-            pass
-
 
 # Global instance
 _bridge: Optional[RealESRGANBridge] = None