Configure Responsible AI safety settings

Console

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

   Go to Vertex AI Studio

2. Click Generate media .

3. Click Image .

4. From the Tasklist, select an image generation task.

5. From the Modellist,choose a model from the available options.

   For more information about available models, see Imagen models

6. In the Promptbox, enter your text prompt that describes the images to generate. For example, small boat on water in the morning watercolor illustration.

7. To adjust additional features, click Parameters, and then adjust the following options:

   • Number of results: Adjust the slider or enter a value between 1and 4.
   • Select one of the following Person generationsettings:
     • Allow (Adults only): Generate adult people or faces only. Don't generate youth or children people or faces.
     • Allow (All ages): Generate people or faces of all ages.
     • Don't allow: Don't generate people or faces.
   • Select one of the following Safety filter thresholdsettings:
     • Block most: Blocks the most of the harmful content.
     • Block some: Blocks some problematic prompts and responses.
     • Block few: Blocks very few problematic prompts and responses.

8. Click Run.

REST

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

• PROJECT_ID : Your Google Cloud project ID .
• LOCATION : Your project's region. For example, us-central1 , europe-west2 , or asia-northeast3 . For a list of available regions, see Generative AI on Vertex AI locations .
• TEXT_PROMPT : The text prompt that guides what images the model generates. This field is required for both generation and editing.
• IMAGE_COUNT : The number of generated images. Accepted integer values: 1-8 ( imagegeneration@002 ), 1-4 (all other model versions). Default value: 4.
• SAFETY_SETTING : string. Optional. A setting that controls safety filter thresholds for generated images. Available values:
  • block_low_and_above : The highest safety threshold, resulting in the largest amount of generated images that are filtered. Previous value: block_most .
  • block_medium_and_above (default): A medium safety threshold that balances filtering for potentially harmful and safe content. Previous value: block_some .
  • block_only_high : A safety threshold that reduces the number of requests blocked due to safety filters. This setting might increase objectionable content generated by Imagen. Previous value: block_few .
• PERSON_SETTING : string. Optional. The safety setting that controls the type of people or face generation the model allows. Available values:
  • allow_adult (default): Allow generation of adults only, except for celebrity generation. Celebrity generation is not allowed for any setting.
  • dont_allow : Disable the inclusion of people or faces in generated images.
• INCLUDE_RAI_REASON : boolean. Optional. Whether to enable the Responsible AI filtered reason code in responses with blocked input or output. Default value: true .
• INCLUDE_SAFETY_ATTRIBUTES : boolean. Optional. Whether to enable rounded Responsible AI scores for a list of safety attributes in responses for unfiltered input and output. Safety attribute categories: "Death, Harm & Tragedy" , "Firearms & Weapons" , "Hate" , "Health" , "Illicit Drugs" , "Politics" , "Porn" , "Religion & Belief" , "Toxic" , "Violence" , "Vulgarity" , "War & Conflict" . Default value: false .

HTTP method and URL:

POST https:// LOCATION 
-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/publishers/google/models/imagegeneration@006:predict

Request JSON body:

{
  "instances": [
    {
      "prompt": " TEXT_PROMPT 
"
    }
  ],
  "parameters": {
    "sampleCount": IMAGE_COUNT 
, "safetySetting": " SAFETY_SETTING 
",
    "personGeneration": " PERSON_SETTING 
",
    "includeRaiReason": INCLUDE_RAI_REASON 
,
    "includeSafetyAttributes": INCLUDE_SAFETY_ATTRIBUTES 
}
}

To send your request, choose one of these options:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https:// LOCATION 
-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/publishers/google/models/imagegeneration@006:predict"

$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:// LOCATION 
-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/publishers/google/models/imagegeneration@006:predict" | Select-Object -Expand Content