diff --git a/modules/async_worker.py b/modules/async_worker.py
index 92918c73..45db9be5 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -186,6 +186,7 @@ def worker():
     from modules.upscaler import perform_upscale
     from modules.flags import Performance
     from modules.meta_parser import get_metadata_parser
+    from modules.translator import translate2en
 
     pid = os.getpid()
     print(f'Started worker with PID {pid}')
@@ -757,11 +758,6 @@ def worker():
 
         return final_scheduler_name
 
-    def translate_prompts(async_task):
-        from modules.translator import translate2en
-        async_task.prompt = translate2en(async_task.prompt, 'prompt')
-        async_task.negative_prompt = translate2en(async_task.negative_prompt, 'negative prompt')
-
     def set_hyper_sd_defaults(async_task):
         print('Enter Hyper-SD mode.')
         progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
@@ -901,6 +897,15 @@ def worker():
                     'face')
         return base_model_additional_loras, clip_vision_path, controlnet_canny_path, controlnet_cpds_path, inpaint_head_model_path, inpaint_image, inpaint_mask, ip_adapter_face_path, ip_adapter_path, ip_negative_path, skip_prompt_processing, use_synthetic_refiner
 
+    def prepare_enhance_prompt(prompt: str, fallback_prompt: str, translate: bool, type: str):
+        if len(remove_empty_str([safe_str(p) for p in prompt.splitlines()], default='')) == 0:
+            prompt = fallback_prompt
+        else:
+            if translate:
+                prompt = translate2en(prompt, type)
+            prompt = prompt + '\n' + fallback_prompt
+        return prompt
+
 
     @torch.no_grad()
     @torch.inference_mode()
@@ -932,7 +937,8 @@ def worker():
             set_hyper_sd_defaults(async_task)
 
         if async_task.translate_prompts:
-            translate_prompts(async_task)
+            async_task.prompt = translate2en(async_task.prompt, 'prompt')
+            async_task.negative_prompt = translate2en(async_task.negative_prompt, 'negative prompt')
 
         print(f'[Parameters] Adaptive CFG = {async_task.adaptive_cfg}')
         print(f'[Parameters] CLIP Skip = {async_task.clip_skip}')
@@ -1103,9 +1109,7 @@ def worker():
 
                         async_task.yields.append(['preview', (current_progress, 'Loading ...', mask)])
                         # TODO also show do_not_show_finished_images=len(tasks) == 1
-                        yield_result(async_task, mask, async_task.black_out_nsfw, False,
-                                     do_not_show_finished_images=len(
-                                         tasks) == 1 or async_task.disable_intermediate_results)
+                        yield_result(async_task, mask, async_task.black_out_nsfw, False, do_not_show_finished_images=len(tasks) == 1 or async_task.disable_intermediate_results)
 
                         print(f'[Enhance] {dino_detection_count} boxes detected')
                         print(f'[Enhance] {sam_detection_count} segments detected in boxes')
@@ -1126,10 +1130,9 @@ def worker():
                             if inpaint_patch_model_path_enhance not in base_model_additional_loras_enhance:
                                 base_model_additional_loras_enhance += [(inpaint_patch_model_path_enhance, 1.0)]
 
-                        if len(remove_empty_str([safe_str(p) for p in enhance_prompt.splitlines()], default='')) == 0:
-                            enhance_prompt = async_task.prompt
-                        if len(remove_empty_str([safe_str(p) for p in enhance_negative_prompt.splitlines()], default='')) == 0:
-                            enhance_negative_prompt = async_task.negative_prompt
+                        progressbar(async_task, current_progress, 'Preparing enhance prompts ...')
+                        enhance_prompt = prepare_enhance_prompt(enhance_prompt, async_task.prompt, async_task.translate_prompts, 'prompt')
+                        enhance_negative_prompt = prepare_enhance_prompt(enhance_negative_prompt, async_task.negative_prompt, async_task.translate_prompts, 'negative prompt')
 
                         tasks_enhance, use_expansion, loras = process_prompt(async_task, enhance_prompt,
                                                                              enhance_negative_prompt,