Vertex AI Media Master

Overview

Multimodal media operations on Google Cloud Vertex AI covering video understanding, audio generation, image creation, and marketing campaign automation. This skill orchestrates Gemini 2.5 Pro/Flash, Imagen 4, and Lyria models to process, analyze, and generate rich media assets.

Prerequisites

• Google Cloud project with Vertex AI API enabled
• google-cloud-aiplatform Python SDK installed (pip install google-cloud-aiplatform[vision,audio])
• GOOGLECLOUDPROJECT and GOOGLEAPPLICATIONCREDENTIALS environment variables set
• Service account with roles/aiplatform.user permission
• Sufficient quota for target models (Gemini 2.5 Pro: 2M tokens/min; Imagen 4: 100 images/min)

Instructions

1. Initialize the Vertex AI client with the target project and region (us-central1 recommended for model availability).
2. Select the appropriate model for the task:

• Video analysis: Gemini 2.5 Pro (up to 6 hours at low resolution, 2 hours at default).
• Image generation: Imagen 4 for highest quality stills; Gemini 2.5 Flash Image for interleaved text+image output.
• Audio generation: Lyria for music composition and background tracks.
• Campaign automation: Gemini 2.5 Pro for multi-asset generation from a single prompt.

1. Prepare input media: upload source files to Cloud Storage (gs:// URIs) or provide local paths for smaller assets.
2. Construct the generation request with explicit parameters (aspect ratio, duration, number of outputs, style constraints).
3. Execute the request and capture response objects containing generated media bytes or analysis text.
4. Post-process outputs: save generated images/audio to the target directory, extract structured insights from video analysis, or compile campaign asset bundles.
5. Validate results against brand guidelines or schema expectations before delivery.

Output

• Generated image files (PNG/JPEG) from Imagen 4 or Gemini Flash Image
• Audio files (WAV/MP3) from Lyria model for background music, voiceovers, or sound effects
• Video analysis reports: scene breakdowns, key-moment timestamps, transcript text, marketing-insight summaries
• Campaign asset packages: hero images, social media graphics, ad copy, email marketing text, and video scripts
• Structured JSON metadata for each generated asset (model used, prompt, parameters, cost estimate)

Error Handling