lowered resolution

app/bot.py

@@ -87,8 +87,8 @@ class DailyVision(EventHandler):
     def setup_camera(self):
         if not self.__camera:
             self.__camera = Daily.create_camera_device("camera",
-                                                       width = 1280,
-                                                       height = 720,
+                                                       width = 512,
+                                                       height = 512,
                                                        color_format="RGB")
             self.__client.update_inputs({
                 "camera": {
@@ -128,13 +128,14 @@ class DailyVision(EventHandler):
         # Process ~15 frames per second (considering incoming frames at 30fps).
         if time.time() - self.__time > float(os.getenv("FPS_CAP", 0.0333)):
             self.__time = time.time()
-            self.__image_buffer = video_frame
+            #self.__image_buffer = video_frame
             #self.__queue.put(video_frame)
 
     def on_app_message(self, message, sender):
         # Update pipeline settings based on message data
-        self.__params = self.__pipeline.InputParams(**message)
-        print(self.__pipeline.Info())
+        #print(message)
+        #self.__params = self.__pipeline.InputParams(**message)
+        print(self.__pipeline.InputParams().model_dump_json())
         return
 
     def wave(self):

app/pipeline.py

@@ -58,10 +58,10 @@ class Pipeline:
             1, min=1, max=15, title="Steps", field="range", hide=True, id="steps"
         )
         width: int = Field(
-            1280, min=2, max=15, title="Width", disabled=True, hide=True, id="width"
+            512, min=2, max=15, title="Width", disabled=True, hide=True, id="width"
         )
         height: int = Field(
-            720, min=2, max=15, title="Height", disabled=True, hide=True, id="height"
+            512, min=2, max=15, title="Height", disabled=True, hide=True, id="height"
         )
         guidance_scale: float = Field(
             1.0,
@@ -188,8 +188,8 @@ class Pipeline:
             
             self.pipe(
                 prompt="warmup",
-                image=[Image.new("RGB", (640, 480))],
-                control_image=[Image.new("RGB", (640, 480))],
+                image=[Image.new("RGB", (768, 768))],
+                control_image=[Image.new("RGB", (768, 768))],
         )
 
     def predict(self, params: "Pipeline.InputParams", image) -> Image.Image: