📚 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_minimal.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""
+MINIMAL TEST - Generate ONE image
+"""
+import os
+import requests
+import json
+import base64
+from PIL import Image
+import io
+
+API_KEY = os.getenv('GEMINI_API_KEY')
+print(f"✅ API Key: {API_KEY[:15]}...")
+
+API_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent"
+
+prompt = """Dark Hand-Drawn 2D Stylized Indie Game Art.
+Character: KAI - Green & Pink dreadlocks, tactical outfit, age 17.
+Animation: Walking toward camera, frame 1 of 4, front view.
+Bold black outlines, centered, transparent background."""
+
+print(f"\n🎨 Generating test image...")
+print(f"Prompt: {prompt[:80]}...\n")
+
+payload = {
+    "contents": [{
+        "parts": [{
+            "text": prompt
+        }]
+    }]
+}
+
+headers = {"Content-Type": "application/json"}
+url = f"{API_URL}?key={API_KEY}"
+
+print(f"📡 Calling API...")
+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"Keys: {list(data.keys())}")
+    
+    if 'candidates' in data:
+        print(f"Candidates: {len(data['candidates'])}")
+        
+        for i, cand in enumerate(data['candidates']):
+            print(f"\nCandidate {i}:")
+            if 'content' in cand:
+                print(f"  Content keys: {list(cand['content'].keys())}")
+                if 'parts' in cand['content']:
+                    print(f"  Parts: {len(cand['content']['parts'])}")
+                    for j, part in enumerate(cand['content']['parts']):
+                        print(f"    Part {j} keys: {list(part.keys())}")
+                        if 'inlineData' in part:
+                            print(f"    ✅ Found image data!")
+                            image_b64 = part['inlineData']['data']
+                            image_bytes = base64.b64decode(image_b64)
+                            image = Image.open(io.BytesIO(image_bytes))
+                            
+                            output_path = "assets/slike/TEST_kai_walk_frame1.png"
+                            image.save(output_path, "PNG")
+                            print(f"    ✅✅ Saved to: {output_path}")
+else:
+    print(f"❌ Error: {response.text}")
+print("\n✅ Test complete!")