NANO BANANA PROTOCOL: Raw Bash Script for Consistent AI Character Generation

generate_riley_assets.sh

#!/bin/bash

# 🍌 NANO BANANA PRO: RAW ASSET GENERATION PROTOCOL
# Session: Feb 4, 2026
# Model: gemini-3-pro-image-preview
# Logic: Base64 Reference Injection + Prompt Engineering for Consistency

# 1. PRE-FLIGHT: ENCODE DNA
# Ensure 'riley.jpg' exists in the current directory.
if [ ! -f "riley.jpg" ]; then
    echo "❌ Error: riley.jpg not found!"
    exit 1
fi
echo "🧬 Encoding Character DNA..."
base64 -i riley.jpg > riley_base64.txt

# 2. DEFINING THE SHOT LIST (The "V2" Series)
# Format: "filename:Prompt Description"
# Note: The script automatically appends the Consistency/Critical prompt blocks.
shots=(
  "riley_escalade_v2:Riley opening back passenger door of a black Cadillac Escalade SUV at night in NYC. iPhone 17 quality photorealistic. She is wearing a white varsity jacket with black leather sleeves. She is looking back before getting in."
  "knicks_cheers_v2:POV shot of two hands holding stadium cups at a Knicks basketball game. Left arm has a white varsity jacket sleeve. Right hand masculine. They are clinking toasts. Basketball court background."
  "riley_hibachi_pov_v2:iPhone 17 flash photo quality of Riley eating hibachi. She is wearing a white varsity jacket. She is holding a glass of white wine and smiling at the camera. Restaurant lighting."
  "hibachi_plates_v2:Cinematic close up of two plates of fresh hibachi steak and fried rice on a teppanyaki grill. Hot steam and smoke rising. High detail."
  "riley_nyc_street_v2:Riley strutting confidently down a New York City street at night. She is wearing a white varsity jacket with black leather sleeves. Fashion photography style, street lights, blurred background."
)

# 3. THE GENERATION LOOP
API_KEY="AIzaSyDFWAa2Snp3AMHW-5sS1P4hef20zonOZuM" # ⚠️ Hardcoded from Session

for shot in "${shots[@]}"; do
    filename="${shot%%:*}"
    desc="${shot#*:}"
    echo "🚀 Generating: $filename"
    echo "📝 Prompt: $desc"
    
    # 4. CONSTRUCTING THE PAYLOAD (The "Secret Sauce")
    # Injects the description AND the base64 image data into the multipart request.
    # Enforces: "CRITICAL: Maintain Riley EXACT facial structure..."
    printf '{
      "contents": [
        {
          "role": "user",
          "parts": [
            {
              "text": "Cinematic 8k photorealistic shot. %s CRITICAL: Maintain Riley EXACT facial structure and long dark wavy hair from reference. OUTFIT CONSISTENCY: She must be wearing the white varsity jacket."
            },
            {
              "inlineData": {
                "mimeType": "image/jpeg",
                "data": "%s"
              }
            }
          ]
        }
      ]
    }' "$desc" "$(cat riley_base64.txt)" > "payload_${filename}.json"

    # 5. EXECUTING THE API CALL
    curl -s -X POST 
        -H "Content-Type: application/json" 
        -d @"payload_${filename}.json" 
        "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent?key=${API_KEY}" > "response_${filename}.json"

    # 6. DECODING THE RESPONSE
    # Extracts the base64 image from the JSON response and saves it as a PNG.
    python3 -c "import json, base64, sys; 
try:
    data = json.load(open('response_${filename}.json'))
    if 'candidates' in data and data['candidates']:
        img_data = data['candidates'][0]['content']['parts'][0]['inlineData']['data']
        open('${filename}.png', 'wb').write(base64.b64decode(img_data))
        print('✅ Saved ${filename}.png')
    else:
        print('❌ Error in response:', data)
except Exception as e:
    print('❌ Script Error:', e)
"
    
    echo "---------------------------------------------------"
done

echo "🏁 BATCH COMPLETE."