from cartoonify import CartoonEngine
# Initialize the engine (automatically selects CUDA GPU or CPU)
engine = CartoonEngine()
# 1. ChatGPT-Grade Generative AI Studio Ghibli Synthesis
engine.process_file(
"portrait.jpg",
"ghibli_chatgpt_art.jpg",
style="ghibli_generative",
custom_params={"openai_api_key": "your-openai-api-key"}
)
# 2. Local Neural Hayao Miyazaki Model (AnimeGANv2)
engine.process_file(
"portrait.jpg",
"ghibli_hayao_art.jpg",
style="hayao",
use_face_align=True
)
# 3. High-Speed Kuwahara Painterly Filter (100% Offline)
engine.process_file(
"portrait.jpg",
"ghibli_kuwahara.jpg",
style="ghibli_pro",
strength=0.85
)
# Transform a single image
python -m cartoonify process photo.jpg -o cartoon.jpg --style ghibli_pro --strength 0.85
# Enable face-aligned feathered blend for portraits
python -m cartoonify process selfie.jpg -o selfie_anime.jpg --style anime_soft --face-align
# Batch process an entire directory of photos
python -m cartoonify batch ./my_vacation_photos -o ./cartoons --style comic_pop
# Launch the Web Studio UI
python -m cartoonify web --port 8000
# Launch the Desktop GUI
python -m cartoonify gui
# 1. Process image via multipart form upload
curl -X POST "http://localhost:8000/api/process-upload" \
-F "file=@portrait.jpg" \
-F "style=ghibli_pro" \
-F "strength=0.85" \
--output cartoon_result.jpg
# 2. Query available styles catalog
curl -X GET "http://localhost:8000/api/styles"
# 3. Health & Device diagnostic check
curl -X GET "http://localhost:8000/api/health"
from pathlib import Path
from cartoonify import CartoonEngine
engine = CartoonEngine()
photos = list(Path("./input_photos").glob("*.jpg"))
def on_progress(current, total, filename):
print(f"[{current}/{total}] Processed: {Path(filename).name}")
results = engine.process_batch(
photos,
output_dir="./cartoon_gallery",
style="watercolor",
strength=0.8,
progress_callback=on_progress
)
print(f"Successfully cartoonified {len(results)} images!")