Turn the prompt rewriter off

Console

1. In the Google Cloud console, go to the Vertex AI Studio > Media Studio page.

   Go to Media Studio

2. Click Veo.

3. In Settings, click the Enable prompt enhancement toggle.

4. In the Write your prompt box, enter your prompt and then click send Generate

REST

For more information about the Veo API, see the Veo on Vertex AI API.

1. Use the following command to send a video generation request. This request begins a long-running operation and stores output to a Cloud Storage bucket you specify.

   Before using any of the request data, make the following replacements:

   • PROJECT_ID: Your Google Cloud project ID.
   • MODEL_ID: The model ID to use. Available values:
     • veo-2.0-generate-001 (GA allowlist)
     • veo-3.0-generate-preview (Preview)
   • TEXT_PROMPT: The text prompt used to guide video generation.
   • OUTPUT_STORAGE_URI: Optional: The Cloud Storage bucket to store the output videos. If not provided, video bytes are returned in the response. For example: gs://video-bucket/output/.
   • RESPONSE_COUNT: The number of video files you want to generate. Accepted integer values: 1-4.
   • DURATION: The length of video files that you want to generate. Accepted integer values are 5-8.
   • ENHANCED_PROMPT: Whether to use enhanced prompts or not. You can use one of the following:
     • True: (default) use Gemini to enhance your prompts.
     • False: don't use Gemini to enhance your prompts.

   • Additional optional parameters

     Use the following optional variables depending on your use case. Add some or all of the following parameters in the "parameters": {} object.

     "parameters": {
       "aspectRatio": "ASPECT_RATIO",
       "negativePrompt": "NEGATIVE_PROMPT",
       "personGeneration": "PERSON_SAFETY_SETTING",
       "sampleCount": RESPONSE_COUNT,
       "seed": SEED_NUMBER
     }

     • ASPECT_RATIO: string. Optional. Defines the aspect ratio of the generated videos. Values: 16:9 (default, landscape) or 9:16 (portrait).
     • NEGATIVE_PROMPT: string. Optional. A text string that describes what you want to discourage the model from generating.
     • PERSON_SAFETY_SETTING: string. Optional. The safety setting that controls whether people or face generation is allowed. Values:
       • allow_adult (default value): Allow generation of adults only.
       • disallow: Disallows inclusion of people or faces in images.
     • RESPONSE_COUNT: int. Optional. The number of output images requested. Values: 1-4.
     • SEED_NUMBER: uint32. Optional. A number to make generated videos deterministic. Specifying a seed number with your request without changing other parameters guides the model to produce the same videos. Values: 0 - 4294967295.

   HTTP method and URL:

   POST https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID:predictLongRunning

   Request JSON body:

   {
     "instances": [
       {
         "prompt": "TEXT_PROMPT"
       }
     ],
     "parameters": {
       "storageUri": "OUTPUT_STORAGE_URI",
       "sampleCount": "RESPONSE_COUNT",
       "durationSeconds": "DURATION",
       "enhancePrompt": ENHANCED_PROMPT
     }
   }
   

   To send your request, choose one of these options:

   curl

   Save the request body in a file named request.json, and execute the following command:

   curl -X POST \
        -H "Authorization: Bearer $(gcloud auth print-access-token)" \
        -H "Content-Type: application/json; charset=utf-8" \
        -d @request.json \
        "https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID:predictLongRunning"

   PowerShell

   Save the request body in a file named request.json, and execute the following command:

   $cred = gcloud auth print-access-token
   $headers = @{ "Authorization" = "Bearer $cred" }
   
   Invoke-WebRequest `
       -Method POST `
       -Headers $headers `
       -ContentType: "application/json; charset=utf-8" `
       -InFile request.json `
       -Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID:predictLongRunning" | Select-Object -Expand Content

   This request returns a full operation name with a unique operation ID. Use this full operation name to poll that status of the video generation request.
   {
     "name": "projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8"
   }