# util.py

def get_default_hyperparameters(model_name):
    """
    Returns default hyperparameters based on the model name.
    
    Args:
        model_name (str): Name of the selected model.

    Returns:
        dict: A dictionary of default hyperparameters.
    """
    # Define default hyperparameters for each model
    default_hyperparameters = {
        "black-forest-labs/FLUX.1-schnell": {
            "guidance_scale": 0,
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 4,
            "seed": 0
        },
        "black-forest-labs/FLUX.1-dev": {
            "guidance_scale": 3.5,
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 28,
            "seed": 0
        },
        "strangerzonehf/Flux-Midjourney-Mix2-LoRA": {
            "guidance_scale": 3.5,
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 28,
            "seed": 0
        },
        "stabilityai/stable-diffusion-3.5-large": {
            "guidance_scale": 4.5,
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 35,
            "seed": 0
        },
        "stabilityai/stable-diffusion-xl-base-1.0": {
            "guidance_scale": 7,
            "width": 1024,
            "height": 1024,
            "num_inference_steps": 30,
            "seed": 0
        },
        "stable-diffusion-v1-5/stable-diffusion-v1-5": {
            "guidance_scale": 5.0,
            "width": 512,
            "height": 512,
            "num_inference_steps": 20,
            "seed": 0
        }
    }
    
    # Return the hyperparameters for the selected model or a default set if not found
    return default_hyperparameters.get(model_name, {
        "guidance_scale": 7.5,
        "width": 512,
        "height": 512,
        "num_inference_steps": 20,
        "seed": 42
    })