diff --git a/aicon/backend/models/big_sleep/big_sleep.py b/aicon/backend/models/big_sleep/big_sleep.py
index e92b59d..e6632ab 100644
--- a/aicon/backend/models/big_sleep/big_sleep.py
+++ b/aicon/backend/models/big_sleep/big_sleep.py
@@ -302,7 +302,7 @@ def __init__(
         gradient_accumulate_every: int = int(self.client_data[RECEIVED_DATA][JSON_GAE])
         model_name: str = self.client_data[RECEIVED_DATA][JSON_BACKBONE]
         if self.client_data[RECEIVED_DATA][JSON_SOURCE_IMG] is not None:
-            source_img: Image = Image.open(BytesIO(b64decode((self.client_data[RECEIVED_DATA][JSON_SOURCE_IMG]))))
+            source_img: Image = Image.open(BytesIO(b64decode((self.client_data[RECEIVED_DATA][JSON_SOURCE_IMG])))).convert('RGB')
         else:
             source_img = None
 
diff --git a/aicon/backend/models/deep_daze/deep_daze.py b/aicon/backend/models/deep_daze/deep_daze.py
index 18c59b3..4ce4d97 100644
--- a/aicon/backend/models/deep_daze/deep_daze.py
+++ b/aicon/backend/models/deep_daze/deep_daze.py
@@ -422,7 +422,7 @@ def __init__(
         self.start_image_lr: float = start_image_lr
 
         if source_img is not None:
-            image: Image = Image.open(source_img)
+            image: Image = Image.open(source_img).convert('RGB')
             start_img_transform: Compose = T.Compose([
                 T.Resize(image_width),
                 T.CenterCrop((image_width, image_width)),
@@ -457,7 +457,7 @@ def create_text_encoding(self, text: str) -> torch.Tensor:
         return text_encoding
     
     def create_img_encoding(self, target_img: str) -> torch.Tensor:
-        target_img: Image = Image.open(target_img)
+        target_img: Image = Image.open(target_img).convert('RGB')
         normed_img: torch.Tensor = self.clip_transform(target_img).unsqueeze(0).to(self.device)
 
         with torch.no_grad():
diff --git a/aicon/backend/server.py b/aicon/backend/server.py
index b1feebb..47916d5 100644
--- a/aicon/backend/server.py
+++ b/aicon/backend/server.py
@@ -57,7 +57,7 @@
 _lock: Lock = Lock()
 _twitter_database: Dict[str, str] = {}
 
-_translator: Translation = Translation("deepl")
+_translator: Translation = Translation("google")
 
 
 def _reset_valid_response() -> None: