Ivanmicai Anime Upscaling Run Anime Upscaling

Run Anime Upscaling

This project is a self-hosted Go API + Next.js dashboard for anime video processing, run via Docker Compose. The canonical, always-up-to-date runbook is AGENTS.md; this skill is the short path to launch it.

Launch (CPU, prebuilt images — fastest)

make quickstart

What it does: generates AUTH_SECRET + a random AUTH_PASSWORD into .env, creates the data/* folders, starts the stack from prebuilt Docker Hub images (no build), and prints the login password. Idempotent — safe to re-run.

For a local build / GPU run instead:

make run       # build locally, CPU
make run-gpu   # build locally, NVIDIA overlay

Verify it's up

1. docker compose ps — anime-upscaling-app and anime-upscaling-api are up.
2. Open http://localhost:4750 and log in with the AUTH_PASSWORD from .env (grep '^AUTH_PASSWORD=' .env).
3. Health probe: the API exposes GET /api/health/gpu (reports healthy on CPU-only too).
4. To exercise a job: drop a video into data/input, queue an optimize job from the UI, and watch the per-job log stream.

Logs / stop

make logs   # follow container logs
make stop   # docker compose down

Must-know constraints

• The Go API has no auth and must stay internal — only the app port 4750 is published; never expose API port 4751.
• Jobs are in-memory (lost on API restart); only pipeline definitions persist.
• GPU processing needs the NVIDIA Container Toolkit on the host; without it, use the CPU path (make quickstart).

See AGENTS.md for the full runbook, testing commands, and contribution rules.

Source: IvanMicai/anime-upscaling — distributed by TomeVault.