This Agent Skill provides comprehensive mastery of Google Vertex AI multimodal capabilities for video, audio, image, and text processing with focus on marketing applications.
API Integration:
from google.cloud import aiplatform
from vertexai.preview.generative_models import GenerativeModel
# Initialize Vertex AI
aiplatform.init(project="your-project", location="us-central1")
# Gemini 2.5 Pro for video
model = GenerativeModel("gemini-2.5-pro")
# Process video with audio
response = model.generate_content([
"Analyze this video and extract key marketing insights",
video_file, # Up to 6 hours
])
# Imagen 4 for image generation
from vertexai.preview.vision_models import ImageGenerationModel
imagen = ImageGenerationModel.from_pretrained("imagen-4")
images = imagen.generate_images(
prompt="Professional product photo, studio lighting, white background",
number_of_images=4
)
Gemini 2.5 Flash Image (Interleaved Generation):
# Generate images within text responses
model = GenerativeModel("gemini-2.5-flash-image")
response = model.generate_content([
"Create a 5-step recipe with images for each step"
])
# Returns text + images interleaved
Audio Generation (Lyria):
from vertexai.preview.audio_models import AudioGenerationModel
lyria = AudioGenerationModel.from_pretrained("lyria")
audio = lyria.generate_audio(
prompt="Upbeat background music for product launch video, 30 seconds",
duration=30
)
1. Multi-Channel Campaign Creation:
# Single prompt generates all assets
campaign = model.generate_content([
"""Create a product launch campaign for [product]:
- Hero image (1920x1080)
- 3 social media graphics (1080x1080)
- 30-second video script
- Background music description
- Email marketing copy
- Instagram caption"""
])
2. Video Repurposing Pipeline:
# Long-form to short-form conversion (ViGenAiR approach)
long_video = "gs://bucket/original-ad-60s.mp4"
response = model.generate_content([
f"Extract 3 engaging 15-second clips from this video for TikTok/Reels",
long_video
])
# Auto-generates format-specific versions
3. Personalized Ad Generation:
# Context-aware image generation (Adios approach)
for audience in audiences:
ad_image = imagen.generate_images(
prompt=f"Product ad for {product}, targeting {audience.demographics}, {audience.style_preference}",
aspect_ratio="16:9"
)
1. Project Setup:
# Set environment variables
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_APPLICATION_CREDENTIALS="path/to/service-account.json"
# Install SDK
pip install google-cloud-aiplatform[vision,audio] google-generativeai
2. Rate Limits & Quotas:
3. Cost Optimization:
4. Security & Compliance:
1. Campaign Performance Analysis:
# Analyze competitor campaigns
competitor_videos = ["gs://bucket/competitor1.mp4", "gs://bucket/competitor2.mp4"]
analysis = model.generate_content([
"Compare these competitor videos: themes, messaging, CTAs, production quality",
*competitor_videos
])
2. Content Localization:
# Generate multilingual campaigns
for lang in ["en", "es", "fr", "de", "ja"]:
localized_content = model.generate_content([
f"Translate and culturally adapt this campaign for {lang} market:",
campaign_brief,
hero_image
])
3. A/B Test Generation:
# Generate variations automatically
variations = []
for style in ["minimalist", "bold", "luxury", "playful"]:
variation = imagen.generate_images(
prompt=f"Product ad, {style} style, {brand_guidelines}",
number_of_images=1
)
variations.append(variation)
Official Documentation:
Marketing Solutions:
Pricing:
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This skill makes Jeremy a Vertex AI multimodal expert with instant access to video processing, audio generation, image creation, and marketing automation capabilities.