--- name: vertex-video-adc description: "Generate videos via Google Cloud Vertex AI predictLongRunning (Veo) using Application Default Credentials (ADC)." homepage: "https://cloud.google.com/vertex-ai" metadata: { "openclaw": { "emoji": "🎬", "requires": { "binaries": ["gcloud", "curl"] } } } --- # 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 --out ``` ### Image-to-Video Provide an optional reference image: ```bash python3 {baseDir}/scripts/video_harness.py --prompt-file --image --out ``` ### Advanced Usage - Specify custom project, location, and model: ```bash python3 {baseDir}/scripts/video_harness.py --prompt-file --out --project --location --model ``` - Custom resolution/aspect ratio/duration/audio generation: ```bash python3 {baseDir}/scripts/video_harness.py --prompt-file --out --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.

Google vertex video adc

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Install Google vertex video adc with One Click