diff --git a/ui/media/js/main.js b/ui/media/js/main.js
index d7a30f79..f22831ef 100644
--- a/ui/media/js/main.js
+++ b/ui/media/js/main.js
@@ -509,10 +509,10 @@ async function doMakeImage(task) {
             })
             renderRequest = await res.json()
             // status_code 503, already a task running.
-        } while (renderRequest.status_code === 503 && await asyncDelay(30 * 1000))
+        } while (res.status === 503 && await asyncDelay(30 * 1000))
         if (typeof renderRequest?.stream !== 'string') {
             console.log('Endpoint response: ', renderRequest)
-            throw new Error('Endpoint response does not contains a response stream url.')
+            throw new Error(renderRequest.detail || 'Endpoint response does not contains a response stream url.')
         }
         task['taskStatusLabel'].innerText = "Waiting"
         task['taskStatusLabel'].classList.add('waitingTaskLabel')
diff --git a/ui/sd_internal/task_manager.py b/ui/sd_internal/task_manager.py
index da88cfc9..e2922049 100644
--- a/ui/sd_internal/task_manager.py
+++ b/ui/sd_internal/task_manager.py
@@ -237,10 +237,20 @@ def thread_render(device):
                         continue
                     if not runtime.is_first_cuda_device(runtime.thread_data.device):
                         continue # Wait for cuda:0
-                if queued_task.request.use_cpu and runtime.thread_data.device != 'cpu' and is_alive('cpu') > 0:
-                    continue # CPU Tasks, Skip GPU device
-                if not queued_task.request.use_cpu and runtime.thread_data.device == 'cpu' and is_alive() > 1: # cpu is alive, so need more than one.
-                    continue # GPU Tasks, don't run on CPU unless there is nothing else.
+                if queued_task.request.use_cpu and runtime.thread_data.device != 'cpu':
+                    if is_alive('cpu') > 0:
+                        continue # CPU Tasks, Skip GPU device
+                    else:
+                        queued_task.error = Exception('Cpu is not enabled in render_devices.')
+                        task = queued_task
+                        continue
+                if not queued_task.request.use_cpu and runtime.thread_data.device == 'cpu':
+                    if is_alive() > 1: # cpu is alive, so need more than one.
+                        continue # GPU Tasks, don't run on CPU unless there is nothing else.
+                    else:
+                        queued_task.error = Exception('No active gpu found. Please check the error message in the command-line window at startup.')
+                        task = queued_task
+                        continue
                 task = queued_task
                 break
             if task is not None: