inference.sh

#!/bin/bash

# Check if the correct number of arguments are provided
if [ -z "$1" ]; then
    echo "Usage: $0 [GFPGAN|CodeFormer]"
    exit 1
fi

SUPERRES=$1  # Read super-resolution method (GFPGAN/CodeFormer)

# Run Latentsync Inference (NO --superres parameter here)
python -m scripts.inference \
    --unet_config_path "configs/unet/second_stage.yaml" \
    --inference_ckpt_path "checkpoints/latentsync_unet.pt" \
    --guidance_scale 1.0 \
    --video_path "assets/demo1_video.mp4" \
    --audio_path "assets/demo1_audio.wav" \
    --video_out_path "video_out.mp4"

echo "Inference completed. Applying super-resolution using $SUPERRES..."

# Run Super-Resolution Enhancement
python -m scripts.superres --input "video_out.mp4" --output "video_final.mp4" --method "$SUPERRES"

echo "Super-resolution applied successfully! Output saved as video_final.mp4"