from withoutbg import WithoutBG

# Local processing with Open Source model
model = WithoutBG.opensource()
result = model.remove_background("input.jpg")
result.save("output.png")

# withoutBG Pro for best quality
model = WithoutBG.api(api_key="sk_your_key")
result = model.remove_background("input.jpg")
result.save("output.png")

from withoutbg import WithoutBG

# Initialize model once
model = WithoutBG.opensource()

# Process image
result = model.remove_background("photo.jpg")
result.save("photo-withoutbg.png")

# Process with progress callback
def progress(value):
    print(f"Progress: {value * 100:.1f}%")

result = model.remove_background("photo.jpg", progress_callback=progress)

from withoutbg import WithoutBG

# Initialize model once (efficient!)
model = WithoutBG.opensource()

# Process multiple images - model is reused for all images
images = ["photo1.jpg", "photo2.jpg", "photo3.jpg"]
results = model.remove_background_batch(images, output_dir="results/")

# Or process without saving
results = model.remove_background_batch(images)
for i, result in enumerate(results):
    result.save(f"output_{i}.png")

from withoutbg import WithoutBG

# Initialize API client
model = WithoutBG.api(api_key="sk_your_key")

# Process images
result = model.remove_background("input.jpg")

# Batch processing with withoutBG Pro
results = model.remove_background_batch(
    ["img1.jpg", "img2.jpg", "img3.jpg"],
    output_dir="api_results/"
)

from withoutbg import OpenSourceModel, ProAPI

# For advanced users who need direct control
opensource_model = OpenSourceModel()
result = opensource_model.remove_background("input.jpg")

# Or with custom model paths
# Models can be downloaded from: https://huggingface.co/withoutbg/focus
model = OpenSourceModel(
    depth_model_path="/path/to/depth.onnx",
    isnet_model_path="/path/to/isnet.onnx",
    matting_model_path="/path/to/matting.onnx",
    refiner_model_path="/path/to/refiner.onnx"
)

# Direct withoutBG Pro API access
api = ProAPI(api_key="sk_your_key")
result = api.remove_background("input.jpg")
usage = api.get_usage()