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#!/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"
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