Google vertex video adc

Generate videos via Google Cloud Vertex AI predictLongRunning (Veo) using Application Default Credentials (ADC).

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.