novafarma/scripts/test_cartoon_style.py

#!/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()