run_gradio_training.sh

#!/usr/bin/env bash
# Launch Gradio with LoRA Training tab, low-VRAM friendly (6GB GPU).
# Use: ./run_gradio_training.sh
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
cd "$SCRIPT_DIR"
export INIT_LLM="false"
export OFFLOAD_TO_CPU="true"
export PORT="${PORT:-7860}"
export SERVER_NAME="${SERVER_NAME:-127.0.0.1}"
export SHARE="${SHARE:-}"
source .venv/bin/activate
exec python -m acestep.acestep_v15_pipeline \
  --port "$PORT" \
  --server-name "$SERVER_NAME" \
  --init_llm false \
  --offload_to_cpu true \
  --init_service true \
  --config_path acestep-v15-turbo \
  --download-source huggingface \
  ${SHARE:+--share} \
  "$@"