.env.example

# GCP Project & Identity (REQUIRED)
PROJECT_ID=your-gcp-project-id
ZONE=asia-northeast3-b
BUCKET=gs://your-gpu-vault-bucket

# Resource Naming (Optional - defaults to gpu-workspace / ubuntu / gpu-golden-image)
VM_NAME=gpu-workspace-l4
VM_USER=ubuntu
SNAPSHOT=gpu-golden-image-l4

# Data Persistence (local_path:gcs_subpath)
# Mapping local directories to GCS subfolders for persistent storage
SYNC_DIRS=/home/ubuntu/models:models /home/ubuntu/outputs:outputs

# Port Forwarding (local_port:remote_port)
# Used by 'make tunnel' (e.g., 7860 for Stable Diffusion WebUI, 8888 for Jupyter)
SSH_FORWARDS=7860:7860 8888:8888

# Hardware Configuration (Spot L4 GPU)
MACHINE_TYPE=g2-standard-4
ACCELERATOR=count=1,type=nvidia-l4
DISK_SIZE=50GB

# Cost-Optimized Downloader (CPU only)
DOWNLOADER_MACHINE_TYPE=e2-small