David Kotnik
5e23cbece0
TODAY'S ACCOMPLISHMENTS (01.01.2026): DINO VALLEY GENERATION: ✅ Terrain: 16/16 PNG (100% complete) ✅ Vegetation: 20/20 PNG (100% complete) 🟨 Props: 2/40 PNG (5% started) 📊 Total: 69/212 PNG (33% Dino Valley complete) NEW DOCUMENTATION: ✅ ALL_BIOMES_COMPLETE_BREAKDOWN.md - Complete 21-biome manifest (3,121 PNG total) ✅ GEMINI_WEB_UI_BIOME_PROMPTS.md - Ready-to-use generation prompts ✅ VERTEX_AI_SETUP_GUIDE.md - Step-by-step Vertex AI Imagen setup ✅ SESSION_DNEVNIK_01_01_2026.md - Complete session diary NEW AUTOMATION SCRIPTS: ✅ scripts/generate_all_biomes_complete.py - Intelligent batch generator ✅ scripts/test_vertex_ai_simple.py - Vertex AI test script ✅ scripts/test_imagen.py - Imagen API test ✅ scripts/test_minimal.py - Minimal API test INFRASTRUCTURE: ✅ All 21 biome directories with 10 categories each (210 folders) ✅ Dual art style system (Style A + Style B) fully operational ✅ Green chroma key background standard (#00FF00) COMMITS TODAY: 5 (45 files modified/created) IMAGES GENERATED: 38 PNG (33 new + 5 earlier) TIME SPENT: ~7 hours RATE LIMITING: Major bottleneck identified - Vertex AI is solution NEXT STEPS: 1. Complete Vertex AI setup (gcloud auth) 2. Test image generation via Vertex API 3. Run bulk generation for remaining 3,052 PNG 4. Background removal batch processing 5. Complete all 21 biomes STATUS: Production infrastructure ready, awaiting Vertex AI activation!
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🚀 VERTEX AI SETUP - COMPLETE GUIDE
OPTION 1: Application Default Credentials (Easiest)
Step 1: Install Google Cloud CLI
# Check if installed
gcloud --version
# If not, install:
curl https://sdk.cloud.google.com | bash
exec -l $SHELL
Step 2: Login & Set Project
# Login to Google Cloud
gcloud auth application-default login
# Set your project
gcloud config set project gen-lang-client-0428644398
# Verify
gcloud config get-value project
Step 3: Enable Vertex AI API
# Enable the API
gcloud services enable aiplatform.googleapis.com
# Verify it's enabled
gcloud services list --enabled | grep aiplatform
Step 4: Test the Script
# Run test
python3 scripts/test_vertex_ai_simple.py
If successful: You'll see a test_vertex_output.png file generated! ✅
OPTION 2: Service Account (If Option 1 fails)
Step 1: Create Service Account
# Create service account
gcloud iam service-accounts create vertex-ai-image-gen \
--description="For Vertex AI Imagen image generation" \
--display-name="Vertex AI Image Generator"
Step 2: Grant Permissions
# Grant Vertex AI User role
gcloud projects add-iam-policy-binding gen-lang-client-0428644398 \
--member="serviceAccount:vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com" \
--role="roles/aiplatform.user"
Step 3: Download JSON Key
# Create and download key
gcloud iam service-accounts keys create ~/vertex-ai-key.json \
--iam-account=vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com
# Verify
ls -la ~/vertex-ai-key.json
Step 4: Set Environment Variable
# Add to ~/.zshrc
echo 'export GOOGLE_APPLICATION_CREDENTIALS="$HOME/vertex-ai-key.json"' >> ~/.zshrc
# Reload
source ~/.zshrc
# Verify
echo $GOOGLE_APPLICATION_CREDENTIALS
Step 5: Test
python3 scripts/test_vertex_ai_simple.py
TROUBLESHOOTING:
Error: "Permission denied"
# Grant additional permissions
gcloud projects add-iam-policy-binding gen-lang-client-0428644398 \
--member="serviceAccount:vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com" \
--role="roles/aiplatform.admin"
Error: "API not enabled"
gcloud services enable aiplatform.googleapis.com
Error: "Quota exceeded"
Check: https://console.cloud.google.com/apis/api/aiplatform.googleapis.com/quotas
NEXT STEPS AFTER SUCCESS:
- ✅ Test script works
- 🔄 Integrate into
generate_all_biomes_complete.py - 🚀 Run bulk generation (3000+ images!)
- 🎉 Complete all biomes!
START HERE: Try Option 1 first (Application Default Credentials) - it's simpler!