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!
132 lines
2.7 KiB
Markdown
132 lines
2.7 KiB
Markdown
# 🚀 VERTEX AI SETUP - COMPLETE GUIDE
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## **OPTION 1: Application Default Credentials (Easiest)**
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### Step 1: Install Google Cloud CLI
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```bash
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# Check if installed
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gcloud --version
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# If not, install:
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curl https://sdk.cloud.google.com | bash
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exec -l $SHELL
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```
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### Step 2: Login & Set Project
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```bash
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# Login to Google Cloud
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gcloud auth application-default login
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# Set your project
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gcloud config set project gen-lang-client-0428644398
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# Verify
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gcloud config get-value project
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```
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### Step 3: Enable Vertex AI API
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```bash
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# Enable the API
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gcloud services enable aiplatform.googleapis.com
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# Verify it's enabled
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gcloud services list --enabled | grep aiplatform
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```
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### Step 4: Test the Script
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```bash
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# Run test
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python3 scripts/test_vertex_ai_simple.py
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```
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**If successful:** You'll see a `test_vertex_output.png` file generated! ✅
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---
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## **OPTION 2: Service Account (If Option 1 fails)**
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### Step 1: Create Service Account
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```bash
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# Create service account
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gcloud iam service-accounts create vertex-ai-image-gen \
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--description="For Vertex AI Imagen image generation" \
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--display-name="Vertex AI Image Generator"
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```
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### Step 2: Grant Permissions
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```bash
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# Grant Vertex AI User role
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gcloud projects add-iam-policy-binding gen-lang-client-0428644398 \
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--member="serviceAccount:vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com" \
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--role="roles/aiplatform.user"
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```
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### Step 3: Download JSON Key
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```bash
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# Create and download key
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gcloud iam service-accounts keys create ~/vertex-ai-key.json \
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--iam-account=vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com
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# Verify
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ls -la ~/vertex-ai-key.json
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```
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### Step 4: Set Environment Variable
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```bash
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# Add to ~/.zshrc
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echo 'export GOOGLE_APPLICATION_CREDENTIALS="$HOME/vertex-ai-key.json"' >> ~/.zshrc
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# Reload
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source ~/.zshrc
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# Verify
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echo $GOOGLE_APPLICATION_CREDENTIALS
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```
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### Step 5: Test
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```bash
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python3 scripts/test_vertex_ai_simple.py
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```
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---
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## **TROUBLESHOOTING:**
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### Error: "Permission denied"
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```bash
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# Grant additional permissions
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gcloud projects add-iam-policy-binding gen-lang-client-0428644398 \
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--member="serviceAccount:vertex-ai-image-gen@gen-lang-client-0428644398.iam.gserviceaccount.com" \
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--role="roles/aiplatform.admin"
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```
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### Error: "API not enabled"
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```bash
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gcloud services enable aiplatform.googleapis.com
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```
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### Error: "Quota exceeded"
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Check: https://console.cloud.google.com/apis/api/aiplatform.googleapis.com/quotas
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---
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## **NEXT STEPS AFTER SUCCESS:**
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1. ✅ Test script works
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2. 🔄 Integrate into `generate_all_biomes_complete.py`
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3. 🚀 Run bulk generation (3000+ images!)
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4. 🎉 Complete all biomes!
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---
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**START HERE:** Try Option 1 first (Application Default Credentials) - it's simpler!
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