Google vertex image generator

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.

Security & Privacy Notice

• Process Execution: This skill invokes subprocess to orchestrate gcloud and curl for secure API interaction.
• Privilege & Access: It requires access to your environment variables (for authentication context) and local file read/write permissions to handle image prompt files and generate the output assets.
• Debug Artifacts: For error tracking and development transparency, full API responses may be written to the system-defined temporary directory. These artifacts are local to the machine running the skill.

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  --out 

Advanced Usage

• Specify custom project, location, and model:

python3 {baseDir}/scripts/image_harness.py --prompt-file  --out  --project  --location  --model 

• Use user-auth token instead of ADC:

python3 {baseDir}/scripts/image_harness.py --prompt-file  --out  --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.