Google Cloud Vertex AI Video Generator (ADC)#

This skill utilizes the Google Cloud SDK ( gcloud) and application credentials to call the Google Cloud Vertex AI predictLongRunning (Veo) endpoint, generating videos from text prompts or reference images.

Workflow#

1. Configure required environment variables or parameters:
   • GOOGLE_CLOUD_PROJECT: Your Google Cloud Project ID.
   • GOOGLE_CLOUD_LOCATION (Optional): Location/region (defaults to us-central1).
   • GOOGLE_CLOUD_MODEL (Optional): Model name (defaults to veo-3.1-generate-001).
2. Construct/save prompt to a local text file.
3. Call the generation script.

Commands#

Text-to-Video#

bash

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

Image-to-Video#

Provide an optional reference image:

bash

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

Advanced Usage#

• Specify custom project, location, and model:

bash

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

• Custom resolution/aspect ratio/duration/audio generation:

bash

python3 {baseDir}/scripts/video_harness.py --prompt-file <prompt_path> --out <output_path> --aspect-ratio 16:9 --duration 5 --resolution 720p --generate-audio false

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.