diff --git a/ui/sd_internal/task_manager.py b/ui/sd_internal/task_manager.py
index e984c6a9..eae17891 100644
--- a/ui/sd_internal/task_manager.py
+++ b/ui/sd_internal/task_manager.py
@@ -204,13 +204,13 @@ def preload_model(ckpt_file_path=None, vae_file_path=None):
         print(traceback.format_exc())
 
 def thread_get_next_task():
+    from . import runtime
     if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
         print('Render thread on device', runtime.thread_data.device, 'failed to acquire manager lock.')
         return None
     if len(tasks_queue) <= 0:
         manager_lock.release()
         return None
-    from . import runtime
     task = None
     try:  # Select a render task.
         for queued_task in tasks_queue:
@@ -375,14 +375,16 @@ def start_render_thread(device='auto'):
         rthread.daemon = True
         rthread.name = THREAD_NAME_PREFIX + device
         rthread.start()
-        timeout = DEVICE_START_TIMEOUT
-        while not rthread.is_alive() or not rthread in weak_thread_data or not 'device' in weak_thread_data[rthread]:
-            if timeout <= 0: raise Exception('render_thread', rthread.name, 'failed to start before timeout or has crashed.')
-            timeout -= 1
-            time.sleep(1)
         render_threads.append(rthread)
     finally:
         manager_lock.release()
+    timeout = DEVICE_START_TIMEOUT
+    while not rthread.is_alive() or not rthread in weak_thread_data or not 'device' in weak_thread_data[rthread]:
+        if timeout <= 0:
+            return False
+        timeout -= 1
+        time.sleep(1)
+    return True
 
 def shutdown_event(): # Signal render thread to close on shutdown
     global current_state_error
diff --git a/ui/server.py b/ui/server.py
index b9ea1b48..a0dc52ef 100644
--- a/ui/server.py
+++ b/ui/server.py
@@ -397,7 +397,8 @@ if 'render_devices' in config:  # Start a new thread for each device.
     if not isinstance(config['render_devices'], list):
         raise Exception('Invalid render_devices value in config.')
     for device in config['render_devices']:
-        task_manager.start_render_thread(device)
+        if not task_manager.start_render_thread(device):
+            print(device, 'failed to start.')
     if task_manager.is_alive() <= 0: # No running devices, probably invalid user config.
         print('WARNING: No active render devices after loading config. Validate "render_devices" in config.json')
         print('Loading default render devices to replace invalid render_devices field from config', config['render_devices'])
@@ -405,13 +406,20 @@ if 'render_devices' in config:  # Start a new thread for each device.
 display_warning = False
 if task_manager.is_alive() <= 0: # Either no defauls or no devices after loading config.
     # Select best GPU device using free memory, if more than one device.
-    task_manager.start_render_thread('auto') # Detect best device for renders
-    if task_manager.is_alive(0) <= 0: # without cuda:0
-        task_manager.start_render_thread('cuda') # An other cuda device is better and cuda:0 is missing, start it...
-        display_warning = True # And warn user to update settings...
+    if task_manager.start_render_thread('auto'): # Detect best device for renders
+        if task_manager.is_alive(0) <= 0:  # has no cuda:0
+            if task_manager.is_alive('cpu') >= 1:  # auto used CPU.
+                pass # Maybe add warning here about CPU mode...
+            elif task_manager.start_render_thread('cuda'): # An other cuda device is better and cuda:0 is missing, try to start it...
+                display_warning = True # And warn user to update settings...
+            else:
+                print('Failed to start GPU:0...')
+    else:
+        print('Failed to start gpu device.')
     if task_manager.is_alive('cpu') <= 0:
         # Allow CPU to be used for renders
-        task_manager.start_render_thread('cpu')
+        if not task_manager.start_render_thread('cpu'):
+            print('Failed to start CPU render device...')
 
 if display_warning or task_manager.is_alive(0) <= 0:
     print('WARNING: GFPGANer only works on GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.')