Gemini Image Generator Skill

Overview

Generate professional posed product images using Gemini AI with optimized prompts for e-commerce and content creation.

When to Use

• When you need to create product images with model poses for e-commerce
• When preparing TikTok/social media content featuring products
• When you have product images and need them "modeled" without hiring photographers
• When batch-generating multiple product variations

When NOT to Use

• When you need photorealistic human faces (AI limitations)
• When legal compliance requires real photography
• When the product requires accurate color representation (AI may shift colors)
• When generating trademarked brand items

Quick Reference

# Generate prompt
python prompt_optimizer.py --category fashion --product "white dress"

# Full workflow
python workflow_runner.py --pose pose.jpg --product dress.jpg --category fashion

Common Mistakes

• Using low-resolution input images (results will be blurry)
• Not specifying lighting setup in prompts (inconsistent results)
• Skipping the ChatGPT video step (misses viral content optimization)
• Ignoring TikTok AI disclosure requirements

Workflow

Input: Pose Model + Product Image
    ↓
Gemini Link (c7150b8213a4) → AI Image Generation
    ↓
Output: Multiple Posed Product Images
    ↓
ChatGPT → Video Scene Generation
    ↓
TikTok Content (compliant)

Quick Start

1. Prepare Images

• Pose Model: Reference pose image (person/model)
• Product: Product image to integrate
• Format: JPG/PNG, any size (Rasio 9:16 recommended)

2. Generate Instruction

Use the prompt optimizer:

python prompt_optimizer.py --category fashion --style minimal --product "white dress"

3. Run in Gemini

1. Open: https://gemini.google.com/share/c7150b8213a4
2. Upload pose model image
3. Upload product image
4. Paste generated instruction
5. Generate images

4. Download Results

• Gemini generates 4-8 variations
• Download all to output folder
• Next: Send to ChatGPT for video scenes

Usage

Command Line

# Generate instruction only
python prompt_optimizer.py --category fashion --product "summer dress"

# Full workflow (with browser automation)
python workflow_runner.py --pose pose.jpg --product dress.jpg --category fashion

Python API

from prompt_optimizer import generate_instruction

instruction = generate_instruction(
    category="fashion",
    product_name="summer dress",
    style="minimal",
    lighting="soft"
)
print(instruction)

Categories

Available templates:

• fashion - Clothing, accessories
• electronics - Gadgets, devices
• food - Culinary, beverages
• beauty - Cosmetics, skincare
• home - Furniture, decor

Output Format

REFINER PRODUKSI Template:

REFINER PRODUKSI: [Environment] | Rasio: 9:16 | Lighting: [Setup] | Intruksi tambahan: [Detail]

Configuration

Edit config.yaml:

gemini:
  shared_link: "https://gemini.google.com/share/c7150b8213a4"
  output_ratio: "9:16"
  
categories:
  fashion:
    environments: ["clean white studio", "minimal gray", "premium lifestyle"]
    lighting: ["soft diffused", "studio lighting", "natural daylight"]
    
defaults:
  ratio: "9:16"
  style: "premium"
  lighting: "soft diffused"

Integration

Next Step: ChatGPT Video Generation

Send Gemini output to ChatGPT with:

Generate video scene descriptions from these images. 
Style: TikTok viral, 15-30 seconds, hook in first 3 seconds.

TikTok Compliance

• Disclosure: "AI-generated content"
• Label videos appropriately
• Follow community guidelines

Files

• SKILL.md - This documentation
• prompt_optimizer.py - Generate optimal prompts
• browser_helper.py - Browser automation
• workflow_runner.py - Full pipeline
• config.yaml - Configuration
• templates/ - Category templates

License

MIT - Free for personal and commercial use.