@@ -64,6 +64,9 @@ message TuningJob {
 
     // Tuning Spec for Veo Tuning.
     VeoTuningSpec veo_tuning_spec = 33;
+
+    // Tuning Spec for Veo LoRA Tuning.
+    VeoLoraTuningSpec veo_lora_tuning_spec = 38;
   }
 
   // Output only. Identifier. Resource name of a TuningJob. Format:
@@ -604,6 +607,37 @@ message VeoHyperParameters {
 
     // Tuning task for text to video.
     TUNING_TASK_T2V = 2;
+
+    // Tuning task for reference to video.
+    TUNING_TASK_R2V = 3;
+  }
+
+  // The speed of the tuning job. Only supported for Veo 3.0 models.
+  enum TuningSpeed {
+    // The default / unset value. For Veo 3.0 models, this defaults to FAST.
+    TUNING_SPEED_UNSPECIFIED = 0;
+
+    // Regular tuning speed.
+    REGULAR = 1;
+
+    // Fast tuning speed.
+    FAST = 2;
+  }
+
+  // Adapter size for LoRA tuning.
+  enum AdapterSize {
+    // Adapter size is unspecified.
+    ADAPTER_SIZE_UNSPECIFIED = 0;
+
+    // Adapter size 8.
+    // This is the default adapter size for Veo LoRA tuning.
+    ADAPTER_SIZE_EIGHT = 8;
+
+    // Adapter size 16.
+    ADAPTER_SIZE_SIXTEEN = 16;
+
+    // Adapter size 32.
+    ADAPTER_SIZE_THIRTY_TWO = 32;
   }
 
   // Optional. Number of complete passes the model makes over the entire
@@ -615,6 +649,19 @@ message VeoHyperParameters {
 
   // Optional. The tuning task. Either I2V or T2V.
   TuningTask tuning_task = 3 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. The ratio of Google internal dataset to use in the training
+  // mixture, in range of `[0, 1)`. If `0.2`, it means 20% of Google internal
+  // dataset and 80% of user dataset will be used for training. If not set, the
+  // default value is 0.1.
+  optional double veo_data_mixture_ratio = 4
+      [(google.api.field_behavior) = OPTIONAL];
+
+  // The speed of the tuning job. Only supported for Veo 3.0 models.
+  optional TuningSpeed tuning_speed = 5;
+
+  // Optional. The adapter size for LoRA tuning.
+  AdapterSize adapter_size = 6 [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Tuning Spec for Veo Model Tuning.
@@ -634,6 +681,23 @@ message VeoTuningSpec {
       [(google.api.field_behavior) = OPTIONAL];
 }
 
+// Tuning Spec for Veo LoRA Model Tuning.
+message VeoLoraTuningSpec {
+  // Required. Training dataset used for tuning. The dataset can be specified as
+  // either a Cloud Storage path to a JSONL file or as the resource name of a
+  // Vertex Multimodal Dataset.
+  string training_dataset_uri = 1 [(google.api.field_behavior) = REQUIRED];
+
+  // Optional. Validation dataset used for tuning. The dataset can be specified
+  // as either a Cloud Storage path to a JSONL file or as the resource name of a
+  // Vertex Multimodal Dataset.
+  string validation_dataset_uri = 2 [(google.api.field_behavior) = OPTIONAL];
+
+  // Optional. Hyperparameters for Veo LoRA.
+  VeoHyperParameters hyper_parameters = 3
+      [(google.api.field_behavior) = OPTIONAL];
+}
+
 // Evaluation Config for Tuning Job.
 message EvaluationConfig {
   // Required. The metrics used for evaluation.