diff --git a/ui/easydiffusion/model_manager.py b/ui/easydiffusion/model_manager.py
index 0a1f1b5c..2a8b57fd 100644
--- a/ui/easydiffusion/model_manager.py
+++ b/ui/easydiffusion/model_manager.py
@@ -113,15 +113,17 @@ def resolve_model_to_use(model_name: str = None, model_type: str = None):
 
 
 def reload_models_if_necessary(context: Context, task_data: TaskData):
-    use_upscale_lower = task_data.use_upscale.lower() if task_data.use_upscale else ""
+    face_fix_lower = task_data.use_face_correction.lower() if task_data.use_face_correction else ""
+    upscale_lower = task_data.use_upscale.lower() if task_data.use_upscale else ""
 
     model_paths_in_req = {
         "stable-diffusion": task_data.use_stable_diffusion_model,
         "vae": task_data.use_vae_model,
         "hypernetwork": task_data.use_hypernetwork_model,
-        "gfpgan": task_data.use_face_correction,
-        "realesrgan": task_data.use_upscale if "realesrgan" in use_upscale_lower else None,
-        "latent_upscaler": True if task_data.use_upscale == "latent_upscaler" else None,
+        "codeformer": task_data.use_face_correction if "codeformer" in face_fix_lower else None,
+        "gfpgan": task_data.use_face_correction if "gfpgan" in face_fix_lower else None,
+        "realesrgan": task_data.use_upscale if "realesrgan" in upscale_lower else None,
+        "latent_upscaler": True if "latent_upscaler" in upscale_lower else None,
         "nsfw_checker": True if task_data.block_nsfw else None,
         "lora": task_data.use_lora_model,
     }
diff --git a/ui/easydiffusion/renderer.py b/ui/easydiffusion/renderer.py
index e2dae34f..1ebd05ec 100644
--- a/ui/easydiffusion/renderer.py
+++ b/ui/easydiffusion/renderer.py
@@ -160,7 +160,9 @@ def filter_images(req: GenerateImageRequest, task_data: TaskData, images: list,
     filter_params = {}
     if task_data.block_nsfw:
         filters_to_apply.append("nsfw_checker")
-    if task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
+    if task_data.use_face_correction and "codeformer" in task_data.use_face_correction.lower():
+        filters_to_apply.append("codeformer")
+    elif task_data.use_face_correction and "gfpgan" in task_data.use_face_correction.lower():
         filters_to_apply.append("gfpgan")
     if task_data.use_upscale:
         if "realesrgan" in task_data.use_upscale.lower():