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Alpine/musl can't run NVIDIA's glibc userspace (nvidia-smi, libnvidia-encode, the static nvenc ffmpeg), so HW transcode was impossible — every 4K/anamorphic HLS encode fell back to software or failed. Switch the runtime stage to debian:bookworm-slim + a static BtbN ffmpeg built with nvenc, add par2 (Usenet segment repair) + 7z (RAR/7z extraction), and set NVIDIA_DRIVER_CAPABILITIES=video,compute,utility so a plain --gpus all (or the compose device reservation) lights up nvenc with no extra flags. Falls back to libx264 automatically when no GPU is attached. Build stage cross-compiles (--platform=BUILDPLATFORM) so multi-arch stays fast; downloads forced over IPv4.
77 lines
2.9 KiB
YAML
77 lines
2.9 KiB
YAML
# unarr — TorrentClaw agent
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#
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# Quick start:
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# 1. Copy this file to any directory.
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# 2. Set UNARR_API_KEY to your key (Settings → API Keys on torrentclaw.com).
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# 3. Set DOWNLOAD_DIR to your media folder (absolute path).
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# 4. Run: docker compose up -d
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#
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# Get your API key: https://torrentclaw.com/settings/api-keys
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# Full docs: https://torrentclaw.com/unarr
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services:
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unarr:
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image: torrentclaw/unarr:latest
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pull_policy: always # always pull on `up` so you stay on the latest release
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container_name: unarr
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restart: unless-stopped
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# host network is required for:
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# - streaming to reach your TV / mobile / other LAN devices (port 11818)
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# - HLS transcode server (port 11819)
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# - Tailscale connectivity (if you use it)
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# On macOS / Windows Docker Desktop, replace with `ports` mapping (see below).
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network_mode: host
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environment:
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# --- Required ---
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- UNARR_API_KEY=${UNARR_API_KEY:?Set UNARR_API_KEY in .env or export it}
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# --- Optional ---
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# Server URL — change only if you run a self-hosted TorrentClaw instance
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- UNARR_API_URL=${UNARR_API_URL:-https://torrentclaw.com}
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- TZ=${TZ:-UTC}
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volumes:
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# Config: config.toml is auto-created here on first run.
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# After first start, edit this file to set organize paths, quality, etc.
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- ${CONFIG_DIR:-./config}:/config
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# Downloads: where finished media is saved.
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# Set DOWNLOAD_DIR in .env or export it before running.
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- ${DOWNLOAD_DIR:?Set DOWNLOAD_DIR to your media folder}:/downloads
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# Data: piece-completion DB, HLS cache, DHT nodes.
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# Named volume keeps this off your media drive (avoids NFS locking issues).
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- unarr-data:/data
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# --- NVIDIA GPU: hardware transcode (nvenc) ---
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# Uncomment on a host with an NVIDIA GPU + nvidia-container-toolkit. The
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# image already bundles an nvenc-enabled ffmpeg and sets
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# NVIDIA_DRIVER_CAPABILITIES=video,compute,utility, so this device
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# reservation is the only thing needed to enable HW transcode. Without a GPU
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# the same image falls back to software (libx264) automatically — leave it
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# commented. (docker run equivalent: add --gpus all)
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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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# # Optional: cap CPU/RAM for transcoding on shared hosts
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# limits:
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# memory: 2G
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# cpus: "4.0"
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# --- macOS / Windows alternative (replace network_mode: host above) ---
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# network_mode: bridge
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# ports:
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# - "11818:11818" # direct stream (VLC, download)
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# - "11819:11819" # HLS transcode (web player)
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# - "42069:42069" # BitTorrent incoming peers
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# Note: streaming will only reach devices on the same machine.
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# For LAN / Tailscale playback use a Linux host with network_mode: host.
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volumes:
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unarr-data:
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