diff --git a/src/dailyai/services/fal_ai_services.py b/src/dailyai/services/fal_ai_services.py
index 324ff0ec4..8527cb168 100644
--- a/src/dailyai/services/fal_ai_services.py
+++ b/src/dailyai/services/fal_ai_services.py
@@ -9,12 +9,10 @@ from PIL import Image
 from dailyai.services.ai_services import LLMService, TTSService, ImageGenService
 # Fal expects FAL_KEY_ID and FAL_KEY_SECRET to be set in the env
 class FalImageGenService(ImageGenService):
-    def __init__(self):
-        super().__init__()
+    def __init__(self, image_size):
+        super().__init__(image_size)
 
-
-
-    async def run_image_gen(self, sentence, size) -> tuple[str, bytes]:
+    async def run_image_gen(self, sentence) -> tuple[str, bytes]:
         def get_image_url(sentence, size):
             print("starting fal submit...")
             handler = fal.apps.submit(
@@ -37,7 +35,7 @@ class FalImageGenService(ImageGenService):
 
             return image_url
         print(f"fetching image url...")
-        image_url = await asyncio.to_thread(get_image_url, sentence, size)
+        image_url = await asyncio.to_thread(get_image_url, sentence, self.image_size)
         print(f"got image url, downloading image...")
         # Load the image from the url
         async with aiohttp.ClientSession() as session:
@@ -48,4 +46,4 @@ class FalImageGenService(ImageGenService):
                 image = Image.open(image_stream)
                 return (image_url, image.tobytes())
 
-        # return (image_url, dalle_im.tobytes())
\ No newline at end of file
+        # return (image_url, dalle_im.tobytes())
diff --git a/src/samples/theoretical-to-real/05-sync-speech-and-text.py b/src/samples/theoretical-to-real/05-sync-speech-and-text.py
index a839d8385..b0cd1e7c7 100644
--- a/src/samples/theoretical-to-real/05-sync-speech-and-text.py
+++ b/src/samples/theoretical-to-real/05-sync-speech-and-text.py
@@ -27,9 +27,9 @@ async def main(room_url):
     transport.camera_height = 1024
 
     llm = AzureLLMService()
-    dalle = FalImageGenService()
+    dalle = FalImageGenService(image_size="1024x1024")
     tts = ElevenLabsTTSService(voice_id="ErXwobaYiN019PkySvjV")
-    #dalle = OpenAIImageGenService(image_size="1024x1024")
+    # dalle = OpenAIImageGenService(image_size="1024x1024")
 
     # Get a complete audio chunk from the given text. Splitting this into its own
     # coroutine lets us ensure proper ordering of the audio chunks on the send queue.