📚 Documentation + scripts from today's exploration

- ASSET_COUNT_STATUS_01_01_2026.md - asset tracking
- CHARACTER_PRODUCTION_PLAN.md - character animation plan
- CHARACTER_GENERATION_FINAL_PLAN.md - API alternatives research
- COMFYUI_SETUP_TODAY.md - ComfyUI setup guide
- TASKS_01_01_2026.md - consolidated task list
- FULL_STORY_OVERVIEW.md - game narrative summary
- preview_animations.html - animation preview gallery
- Test scripts for API exploration (test_minimal.py, test_imagen.py)
- Character generation scripts (generate_all_characters_complete.py, generate_characters_working.py)

These were created during API troubleshooting and production planning.

scripts/test_imagen.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+TEST - Imagen 3 API (Image Generation)
+"""
+import os
+import requests
+import base64
+from PIL import Image
+import io
+
+API_KEY = os.getenv('GEMINI_API_KEY')
+print(f"✅ API Key: {API_KEY[:15]}...")
+
+# Use Imagen 3 endpoint
+API_URL = "https://generativelanguage.googleapis.com/v1beta/models/imagen-3.0-generate-001:predict"
+
+prompt = "Dark hand-drawn 2D stylized indie game art. Character KAI - male, age 17, green and pink dreadlocks, tactical survivor outfit. Walking toward camera, front view. Bold black outlines, centered, transparent background."
+
+print(f"\n🎨 Generating with Imagen 3...")
+print(f"Prompt: {prompt[:80]}...\n")
+
+payload = {
+    "instances": [{
+        "prompt": prompt
+    }],
+    "parameters": {
+        "sampleCount": 1,
+        "aspectRatio": "1:1",
+        "mode": "generateImages"
+    }
+}
+
+headers = {"Content-Type": "application/json"}
+url = f"{API_URL}?key={API_KEY}"
+
+print(f"📡 Calling Imagen API...")
+try:
+    response = requests.post(url, headers=headers, json=payload, timeout=60)
+    print(f"Status: {response.status_code}")
+    
+    if response.status_code == 200:
+        data = response.json()
+        print(f"✅ Response received!")
+        print(f"Response keys: {list(data.keys())}")
+        
+        if 'predictions' in data and len(data['predictions']) > 0:
+            pred = data['predictions'][0]
+            print(f"Prediction keys: {list(pred.keys())}")
+            
+            if 'bytesBase64Encoded' in pred:
+                print(f"✅ Found image data!")
+                image_b64 = pred['bytesBase64Encoded']
+                image_bytes = base64.b64decode(image_b64)
+                image = Image.open(io.BytesIO(image_bytes))
+                
+                output_path = "assets/slike/TEST_kai_imagen.png"
+                image.save(output_path, "PNG")
+                print(f"✅✅ SAVED: {output_path}")
+                print(f"Image size: {image.size}")
+        else:
+            print(f"Response data: {data}")
+    else:
+        print(f"❌ Error {response.status_code}: {response.text}")
+        
+except Exception as e:
+    print(f"❌ Exception: {e}")
+
+print("\n✅ Test complete!")