setup_omniavatar.py

#!/usr/bin/env python3
"""
OmniAvatar-14B Setup Script
Downloads all required models and sets up the proper directory structure.
"""

import os
import subprocess
import sys
import logging
from pathlib import Path

# Set up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

class OmniAvatarSetup:
    def __init__(self):
        self.base_dir = Path.cwd()
        self.models_dir = self.base_dir / "pretrained_models"
        
        # Model specifications from OmniAvatar documentation
        self.models = {
            "Wan2.1-T2V-14B": {
                "repo": "Wan-AI/Wan2.1-T2V-14B",
                "description": "Base model for 14B OmniAvatar model",
                "size": "~28GB"
            },
            "OmniAvatar-14B": {
                "repo": "OmniAvatar/OmniAvatar-14B", 
                "description": "LoRA and audio condition weights",
                "size": "~2GB"
            },
            "wav2vec2-base-960h": {
                "repo": "facebook/wav2vec2-base-960h",
                "description": "Audio encoder",
                "size": "~360MB"
            }
        }
        
    def check_dependencies(self):
        """Check if required dependencies are installed"""
        logger.info("🔍 Checking dependencies...")
        
        try:
            import torch
            logger.info(f"✅ PyTorch version: {torch.__version__}")
            
            if torch.cuda.is_available():
                logger.info(f"✅ CUDA available: {torch.version.cuda}")
                logger.info(f"✅ GPU devices: {torch.cuda.device_count()}")
            else:
                logger.warning("⚠️ CUDA not available - will use CPU (slower)")
                
        except ImportError:
            logger.error("❌ PyTorch not installed!")
            return False
            
        return True
    
    def install_huggingface_cli(self):
        """Install huggingface CLI if not available"""
        try:
            result = subprocess.run(['huggingface-cli', '--version'], 
                                  capture_output=True, text=True)
            if result.returncode == 0:
                logger.info("✅ Hugging Face CLI available")
                return True
        except FileNotFoundError:
            pass
            
        logger.info("📦 Installing huggingface-hub CLI...")
        try:
            subprocess.run([sys.executable, '-m', 'pip', 'install', 
                          'huggingface_hub[cli]'], check=True)
            logger.info("✅ Hugging Face CLI installed")
            return True
        except subprocess.CalledProcessError as e:
            logger.error(f"❌ Failed to install Hugging Face CLI: {e}")
            return False
    
    def create_directory_structure(self):
        """Create the required directory structure"""
        logger.info("📁 Creating directory structure...")
        
        directories = [
            self.models_dir,
            self.models_dir / "Wan2.1-T2V-14B",
            self.models_dir / "OmniAvatar-14B", 
            self.models_dir / "wav2vec2-base-960h",
            self.base_dir / "outputs",
            self.base_dir / "configs",
            self.base_dir / "scripts",
            self.base_dir / "examples"
        ]
        
        for directory in directories:
            directory.mkdir(parents=True, exist_ok=True)
            logger.info(f"✅ Created: {directory}")
            
    def download_models(self):
        """Download all required models"""
        logger.info("🔄 Starting model downloads...")
        logger.info("⚠️ This will download approximately 30GB of models!")
        
        response = input("Continue with download? (y/N): ")
        if response.lower() != 'y':
            logger.info("❌ Download cancelled by user")
            return False
            
        for model_name, model_info in self.models.items():
            logger.info(f"📥 Downloading {model_name} ({model_info['size']})...")
            logger.info(f"📝 {model_info['description']}")
            
            local_dir = self.models_dir / model_name
            
            # Skip if already exists and has content
            if local_dir.exists() and any(local_dir.iterdir()):
                logger.info(f"✅ {model_name} already exists, skipping...")
                continue
                
            try:
                cmd = [
                    'huggingface-cli', 'download',
                    model_info['repo'],
                    '--local-dir', str(local_dir)
                ]
                
                logger.info(f"🚀 Running: {' '.join(cmd)}")
                result = subprocess.run(cmd, check=True)
                logger.info(f"✅ {model_name} downloaded successfully!")
                
            except subprocess.CalledProcessError as e:
                logger.error(f"❌ Failed to download {model_name}: {e}")
                return False
                
        logger.info("✅ All models downloaded successfully!")
        return True
    
    def run_setup(self):
        """Run the complete setup process"""
        logger.info("🚀 Starting OmniAvatar-14B setup...")
        
        if not self.check_dependencies():
            logger.error("❌ Dependencies check failed!")
            return False
            
        if not self.install_huggingface_cli():
            logger.error("❌ Failed to install Hugging Face CLI!")
            return False
            
        self.create_directory_structure()
        
        if not self.download_models():
            logger.error("❌ Model download failed!")
            return False
            
        logger.info("🎉 OmniAvatar-14B setup completed successfully!")
        logger.info("💡 You can now run the full avatar generation!")
        return True

def main():
    setup = OmniAvatarSetup()
    setup.run_setup()

if __name__ == "__main__":
    main()