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{
"model_id": "MagicAnimate",
"description": "Temporally Consistent Human Image Animation using Diffusion Model",
"license": "BSD-3-Clause",
"version": "1.0",
"model_type": "convnext",
"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": "3.10",
"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==1.12.0",
"sentence-transformers==2.2.2"
]
}
}
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