diff --git a/mediapipe/graphs/pose_tracking/BUILD b/mediapipe/graphs/pose_tracking/BUILD
index 26f607c45..a8419cfbd 100644
--- a/mediapipe/graphs/pose_tracking/BUILD
+++ b/mediapipe/graphs/pose_tracking/BUILD
@@ -38,6 +38,13 @@ mediapipe_binary_graph(
     deps = [":pose_tracking_gpu_deps"],
 )
 
+mediapipe_binary_graph(
+    name = "pose_tracking_gpu_image_binary_graph",
+    graph = "pose_tracking_gpu_image.pbtxt",
+    output_name = "pose_tracking_gpu_image.binarypb",
+    deps = [":pose_tracking_gpu_deps"],
+)
+
 cc_library(
     name = "pose_tracking_cpu_deps",
     deps = [
diff --git a/mediapipe/graphs/pose_tracking/pose_tracking_gpu.pbtxt b/mediapipe/graphs/pose_tracking/pose_tracking_gpu.pbtxt
index fa3ed97f5..35be3f0e0 100644
--- a/mediapipe/graphs/pose_tracking/pose_tracking_gpu.pbtxt
+++ b/mediapipe/graphs/pose_tracking/pose_tracking_gpu.pbtxt
@@ -1,16 +1,12 @@
 # MediaPipe graph that performs pose tracking with TensorFlow Lite on GPU.
 
 # GPU buffer. (GpuBuffer)
-input_stream: "IMAGE:input_video"
+input_stream: "input_video"
 
 # Output image with rendered results. (GpuBuffer)
 output_stream: "output_video"
 # Pose landmarks. (NormalizedLandmarkList)
-#output_stream: "pose_landmarks"
-
-output_stream: "IMAGE:throttled_input_video"
-output_stream: "DETECTION:pose_detection"
-output_stream: "output_video"
+output_stream: "pose_landmarks"
 
 # Generates side packet to enable segmentation.
 node {
@@ -18,12 +14,11 @@ node {
   output_side_packet: "PACKET:enable_segmentation"
   node_options: {
     [type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
-      packet { bool_value: false }
+      packet { bool_value: true }
     }
   }
 }
 
-
 # Throttles the images flowing downstream for flow control. It passes through
 # the very first incoming image unaltered, and waits for downstream nodes
 # (calculators and subgraphs) in the graph to finish their tasks before it
@@ -34,9 +29,6 @@ node {
 # real-time mobile applications. It also eliminates unnecessarily computation,
 # e.g., the output produced by a node may get dropped downstream if the
 # subsequent nodes are still busy processing previous inputs.
-
-
-
 node {
   calculator: "FlowLimiterCalculator"
   input_stream: "input_video"
@@ -45,18 +37,9 @@ node {
     tag_index: "FINISHED"
     back_edge: true
   }
-  output_stream: "throttled_input_video_cpu"
+  output_stream: "throttled_input_video"
 }
 
-# Converts Image to GpuBuffer for PoseLandmarkGPU to consume.
-node {
-  calculator: "FromImageCalculator"
-  input_stream: "IMAGE:throttled_input_video_cpu"
-  output_stream: "IMAGE_GPU:throttled_input_video"
-  output_stream: "SOURCE_ON_GPU:is_gpu_image"
-}
-
-
 # Subgraph that detects poses and corresponding landmarks.
 node {
   calculator: "PoseLandmarkGpu"
diff --git a/mediapipe/graphs/pose_tracking/pose_tracking_solution_gpu.pbtxt b/mediapipe/graphs/pose_tracking/pose_tracking_gpu_image.pbtxt
similarity index 80%
rename from mediapipe/graphs/pose_tracking/pose_tracking_solution_gpu.pbtxt
rename to mediapipe/graphs/pose_tracking/pose_tracking_gpu_image.pbtxt
index 35be3f0e0..fa3ed97f5 100644
--- a/mediapipe/graphs/pose_tracking/pose_tracking_solution_gpu.pbtxt
+++ b/mediapipe/graphs/pose_tracking/pose_tracking_gpu_image.pbtxt
@@ -1,12 +1,16 @@
 # MediaPipe graph that performs pose tracking with TensorFlow Lite on GPU.
 
 # GPU buffer. (GpuBuffer)
-input_stream: "input_video"
+input_stream: "IMAGE:input_video"
 
 # Output image with rendered results. (GpuBuffer)
 output_stream: "output_video"
 # Pose landmarks. (NormalizedLandmarkList)
-output_stream: "pose_landmarks"
+#output_stream: "pose_landmarks"
+
+output_stream: "IMAGE:throttled_input_video"
+output_stream: "DETECTION:pose_detection"
+output_stream: "output_video"
 
 # Generates side packet to enable segmentation.
 node {
@@ -14,11 +18,12 @@ node {
   output_side_packet: "PACKET:enable_segmentation"
   node_options: {
     [type.googleapis.com/mediapipe.ConstantSidePacketCalculatorOptions]: {
-      packet { bool_value: true }
+      packet { bool_value: false }
     }
   }
 }
 
+
 # Throttles the images flowing downstream for flow control. It passes through
 # the very first incoming image unaltered, and waits for downstream nodes
 # (calculators and subgraphs) in the graph to finish their tasks before it
@@ -29,6 +34,9 @@ node {
 # real-time mobile applications. It also eliminates unnecessarily computation,
 # e.g., the output produced by a node may get dropped downstream if the
 # subsequent nodes are still busy processing previous inputs.
+
+
+
 node {
   calculator: "FlowLimiterCalculator"
   input_stream: "input_video"
@@ -37,9 +45,18 @@ node {
     tag_index: "FINISHED"
     back_edge: true
   }
-  output_stream: "throttled_input_video"
+  output_stream: "throttled_input_video_cpu"
 }
 
+# Converts Image to GpuBuffer for PoseLandmarkGPU to consume.
+node {
+  calculator: "FromImageCalculator"
+  input_stream: "IMAGE:throttled_input_video_cpu"
+  output_stream: "IMAGE_GPU:throttled_input_video"
+  output_stream: "SOURCE_ON_GPU:is_gpu_image"
+}
+
+
 # Subgraph that detects poses and corresponding landmarks.
 node {
   calculator: "PoseLandmarkGpu"