Google vertex image generator

Generate images via Google Cloud Vertex AI generateContent using Application Default Credentials (ADC).

Google Cloud Vertex AI Image Generator (ADC)

This skill utilizes the Google Cloud SDK (gcloud) and application credentials to call the Google Cloud Vertex AI generateContent API, generating images directly using model predictions.

Workflow

1. Configure required environment variables or parameters:
   • GOOGLE_CLOUD_PROJECT: Your Google Cloud Project ID.
   • GOOGLE_CLOUD_LOCATION (Optional): Location/region (defaults to global).
   • GOOGLE_CLOUD_MODEL (Optional): Model name (defaults to gemini-3.1-flash-image-preview).
2. Construct/save prompt to a local text file.
3. Call the generation script.

Commands

Generate Image (Default ADC)

python3 {baseDir}/scripts/image_harness.py --prompt-file <prompt_path> --out <output_path>

Advanced Usage

• Specify custom project, location, and model:

python3 {baseDir}/scripts/image_harness.py --prompt-file <prompt_path> --out <output_path> --project <project_id> --location <location> --model <model>

• Use user-auth token instead of ADC:

python3 {baseDir}/scripts/image_harness.py --prompt-file <prompt_path> --out <output_path> --auth-mode user-token

Setup & Requirements

• Google Cloud SDK (gcloud CLI) installed and available in $PATH.
• Active authentication token:
  • Default ADC mode: gcloud auth application-default login
  • User-token mode: gcloud auth login
• The system must have curl installed to issue the API request.