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- Dockerfile: generic CUDA x86_64 image using uv for reproducible deps - docker-compose.yml: one-command startup with GPU support - container.yml: GitHub Actions workflow that builds and pushes to ghcr.io on tag push (v*) with semver tagging - .dockerignore: add output/ dir, clean up Jetson-specific comments Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
76 lines
2.1 KiB
YAML
76 lines
2.1 KiB
YAML
# =============================================================================
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# ACE-Step 1.5 — Docker Compose (generic CUDA)
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# =============================================================================
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#
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# Usage:
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# docker compose up # Start Gradio UI (default)
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# docker compose up --build # Build and start
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# docker compose up -d # Run in background
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# docker compose down # Stop
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# docker compose logs -f # View logs
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#
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# # Start REST API server instead:
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# ACESTEP_MODE=api docker compose up
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#
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# =============================================================================
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services:
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acestep:
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build:
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context: .
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dockerfile: Dockerfile
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image: ghcr.io/ace-step/ace-step-1.5:latest
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container_name: acestep
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# ---- GPU access ----
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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# ---- Environment ----
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env_file:
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- path: .env
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required: false
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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- ACESTEP_MODE=${ACESTEP_MODE:-gradio}
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- ACESTEP_LLM_BACKEND=${ACESTEP_LLM_BACKEND:-pt}
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- ACESTEP_INIT_SERVICE=${ACESTEP_INIT_SERVICE:-true}
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- ACESTEP_CONFIG_PATH=${ACESTEP_CONFIG_PATH:-acestep-v15-turbo}
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- ACESTEP_LM_MODEL_PATH=${ACESTEP_LM_MODEL_PATH:-acestep-5Hz-lm-4B}
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- ACESTEP_EXTRA_ARGS=${ACESTEP_EXTRA_ARGS:-}
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- TOKENIZERS_PARALLELISM=false
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# ---- Ports ----
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ports:
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- "${GRADIO_PORT:-7860}:7860"
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- "${API_PORT:-8001}:8001"
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# ---- Persistent volumes ----
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volumes:
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- ./checkpoints:/app/checkpoints
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- hf_cache:/root/.cache/huggingface
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- ./gradio_outputs:/app/gradio_outputs
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- ./output:/app/output
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# ---- Shared memory for PyTorch DataLoader ----
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shm_size: "2gb"
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restart: unless-stopped
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healthcheck:
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test: >-
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curl -sf http://localhost:7860/ > /dev/null 2>&1 ||
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curl -sf http://localhost:8001/health > /dev/null 2>&1 ||
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exit 1
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interval: 30s
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timeout: 10s
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start_period: 300s
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retries: 3
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volumes:
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hf_cache:
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