diff --git a/scripts/test_cartoon_style.py b/scripts/test_cartoon_style.py
new file mode 100644
index 000000000..87ba4a3e8
--- /dev/null
+++ b/scripts/test_cartoon_style.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python3
+"""
+🧪 STYLE TEST - Generate test animals with NEW cartoon style
+"""
+
+import os
+import sys
+import time
+import uuid
+import requests
+import subprocess
+from pathlib import Path
+from datetime import datetime
+
+try:
+    from rembg import remove
+    from PIL import Image
+except ImportError:
+    os.system("pip3 install --user rembg pillow onnxruntime")
+    from rembg import remove
+    from PIL import Image
+
+COMFYUI_URL = "http://127.0.0.1:8000"
+OUTPUT_DIR = Path("/Users/davidkotnik/repos/novafarma/assets/images")
+REPO_DIR = Path("/Users/davidkotnik/repos/novafarma")
+
+# NEW CARTOON STYLE (matches Gronk/Kai)
+STYLE = """Clean cartoon vector game sprite, bold smooth outlines, flat vibrant colors, 
+minimal shading, cute playful aesthetic, full body visible head-to-toe, 
+isolated on pure white background, 2D game art similar to Don't Starve or Zelda Link's Awakening style"""
+
+NEGATIVE = """pixel art, pixelated, voxel, 3d render, realistic, photorealistic, 
+detailed shading, gradient heavy, anime style, manga, blurry, low quality, 
+watermark, text, green background, Stardew Valley style, farm sim generic style"""
+
+# Test animals
+TEST_ANIMALS = [
+    ("zivali", "cow_normal", "dairy cow, black and white Holstein pattern, friendly cute"),
+    ("zivali", "pig_normal", "farm pig, pink, curly tail, happy"),
+    ("zivali", "chicken_white", "white chicken, red comb, pecking"),
+]
+
+def log(msg):
+    ts = datetime.now().strftime("%H:%M:%S")
+    print(f"[{ts}] {msg}")
+    sys.stdout.flush()
+
+def create_workflow(prompt_text, output_name, size=512):
+    seed = int(time.time() * 1000) % 2147483647
+    full_prompt = f"{STYLE}, {prompt_text}"
+    return {
+        "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "dreamshaper_8.safetensors"}},
+        "2": {"class_type": "EmptyLatentImage", "inputs": {"width": size, "height": size, "batch_size": 1}},
+        "3": {"class_type": "CLIPTextEncode", "inputs": {"text": full_prompt, "clip": ["1", 1]}},
+        "4": {"class_type": "CLIPTextEncode", "inputs": {"text": NEGATIVE, "clip": ["1", 1]}},
+        "5": {
+            "class_type": "KSampler",
+            "inputs": {
+                "seed": seed, "steps": 30, "cfg": 7.5,
+                "sampler_name": "euler_ancestral", "scheduler": "karras",
+                "denoise": 1.0, "model": ["1", 0],
+                "positive": ["3", 0], "negative": ["4", 0], "latent_image": ["2", 0]
+            }
+        },
+        "6": {"class_type": "VAEDecode", "inputs": {"samples": ["5", 0], "vae": ["1", 2]}},
+        "7": {"class_type": "SaveImage", "inputs": {"filename_prefix": output_name, "images": ["6", 0]}}
+    }
+
+def queue_prompt(workflow):
+    try:
+        r = requests.post(f"{COMFYUI_URL}/prompt", json={"prompt": workflow, "client_id": f"test_{uuid.uuid4().hex[:8]}"}, timeout=10)
+        return r.json().get("prompt_id")
+    except Exception as e:
+        log(f"❌ {e}")
+        return None
+
+def wait_completion(prompt_id, timeout=120):
+    start = time.time()
+    while time.time() < start + timeout:
+        try:
+            r = requests.get(f"{COMFYUI_URL}/history/{prompt_id}", timeout=5)
+            if prompt_id in r.json() and r.json()[prompt_id].get("outputs"):
+                return True
+        except:
+            pass
+        time.sleep(2)
+    return False
+
+def download_and_process(prompt_id, output_path):
+    try:
+        h = requests.get(f"{COMFYUI_URL}/history/{prompt_id}").json()
+        for out in h.get(prompt_id, {}).get("outputs", {}).values():
+            for img in out.get("images", []):
+                r = requests.get(f"{COMFYUI_URL}/view", params={"filename": img["filename"], "subfolder": img.get("subfolder", ""), "type": "output"})
+                if r.status_code == 200:
+                    output_path.parent.mkdir(parents=True, exist_ok=True)
+                    from io import BytesIO
+                    transparent_img = remove(Image.open(BytesIO(r.content)))
+                    transparent_img.save(str(output_path), "PNG")
+                    return True
+        return False
+    except Exception as e:
+        log(f"❌ {e}")
+        return False
+
+def main():
+    log("="*70)
+    log("🧪 STYLE TEST - NEW Cartoon Vector Style")
+    log("   Bold outlines, flat colors, cute aesthetic")
+    log("="*70)
+    
+    try:
+        r = requests.get(f"{COMFYUI_URL}/system_stats", timeout=5)
+        log(f"✅ ComfyUI v{r.json()['system']['comfyui_version']}")
+    except:
+        log("❌ ComfyUI not running!")
+        return
+    
+    log(f"\n🎨 Generating {len(TEST_ANIMALS)} test animals with CARTOON style...\n")
+    
+    for i, (cat, name, prompt) in enumerate(TEST_ANIMALS, 1):
+        path = OUTPUT_DIR / cat / f"{name}.png"
+        
+        log(f"[{i}/{len(TEST_ANIMALS)}] 🐄 {name}")
+        
+        wf = create_workflow(prompt, name, 512)
+        pid = queue_prompt(wf)
+        
+        if pid and wait_completion(pid) and download_and_process(pid, path):
+            log(f"   ✅ Done!")
+            # Auto-open for review
+            os.system(f"open {path}")
+        else:
+            log(f"   ❌ Failed")
+        
+        time.sleep(2)
+    
+    log("\n" + "="*70)
+    log("🧪 TEST COMPLETE! Slike odprte za pregled.")
+    log("   Primerjajte z Gronk/Kai reference!")
+    log("="*70)
+
+if __name__ == "__main__":
+    main()