{
    "model_id": "MagicAnimate",
    "description": "Temporally Consistent Human Image Animation using Diffusion Model",
    "license": "BSD-3-Clause",
    "version": "1.0",
    "configurations": [
        {
            "model": "pretrained_models/stable-diffusion-v1-5",
            "description": "Stable Diffusion v1.5 model with various enhancements for temporal consistency.",
            "config_file": "pretrained_models/stable-diffusion-v1-5/config.json"
        },
        {
            "model": "pretrained_models/sd-vae-ft-mse",
            "description": "VAE finetuned with MSE loss for better latent representations.",
            "config_file": "pretrained_models/sd-vae-ft-mse/config.json"
        },
        {
            "model": "pretrained_models/MagicAnimate/appearance_encoder",
            "description": "Appearance encoder for extracting and encoding appearance features.",
            "config_file": "pretrained_models/MagicAnimate/appearance_encoder/config.json"
        },
        {
            "model": "pretrained_models/MagicAnimate/densepose_controlnet",
            "description": "DensePose control net for controlling animations based on dense pose inputs.",
            "config_file": "pretrained_models/MagicAnimate/densepose_controlnet/config.json"
        },
        {
            "model": "pretrained_models/MagicAnimate/temporal_attention",
            "description": "Temporal attention model for ensuring temporal consistency in animations.",
            "config_file": "pretrained_models/MagicAnimate/temporal_attention/config.json"
        }
    ],
    "dependencies": {
        "python_version": "3.8",
        "packages": [
            "torch==2.0.1",
            "torchvision==0.15.2",
            "diffusers==0.21.4",
            "transformers==4.32.0",
            "fastapi==0.103.0",
            "gradio==3.41.2",
            "aiohttp==3.8.5",
            "uvicorn==0.23.2",
            "numpy==1.24.4",
            "opencv-python==4.8.0.76",
            "scipy==1.10.1"
        ]
    }
}