Release Notes
Changelog for Agnes Video Generator: new features, improvements and bug fixes for every release.
Manual Mode pauses your pipeline at the checkpoints you choose, so you can confirm, modify, or regenerate each intermedi
Blank page after v5.7.3 upgrade fixed — during the merge of the analytics changes into master, git auto-merge treated th
Mode-level analytics for generated videos — the task_completed and task_failed GA4 events now include the mode parameter
Intermediate artifacts restored in the progress panel — after the v5.7.0 frontend re-architecture, intermediate artifact
npm publish step fails with printf: --: invalid option — the release workflow's "Prepare npm README" step used printf '-
Multi-API-Key rotation & throughput boost — configure multiple Agnes API keys (env + config, auto-dedup); requests rotat
Light/dark dual mode — the Midnight design system now supports both light and dark themes with a one-click toggle.
Midnight design system — complete frontend redesign with an atmospheric dark theme, refined typography, spacing and visu
Referral links in the UI and scripts now point to the current official-site paths (deprecated slugs removed).
22-language UI — language support extended to 22 languages, aligned with the official site.
Prompt examples in task forms — each task-type form (Simple / Creative / Manuscript / Anchor) shows a guide link to prom
web/ routing layer — server.py is split into a modular route layer (web/routes/), improving structure and testability.
Optional GA4 analytics — track user operations and error reporting; a setup script auto-configures custom dimensions and
Agnes domain config (com/cn) — configure the Agnes API base domain; switching to the .cn domain now works without the pr
imageio-ffmpeg dependency explicitly declared; npm README documents ffmpeg setup.
imageio-ffmpeg is now an explicit dependency, and the npm README documents ffmpeg setup so video concatenation works aft
Quick Start on Docker / npm pages — Docker Hub overview and npm README both lead with a Quick Start (pull / run / npx fr
Docker Hub overview update now respects the 100-byte short-description limit, so the page title and description publish
Registry page titles (GHCR / Docker Hub) renamed to Free Short Video for consistent product branding.
Release workflow: npm publish is now guarded inside the step with a shell check; missing NPM_TOKEN skips only the npm pu
Release workflow: npm version is synced via npm pkg set (no git commit on detached HEAD), keeping npx free-short-video v
Word-level subtitle timeline (v2.0) — subtitles are aligned to edge_tts word-level cues, the exact source of truth; the
Subtitles in all languages are now capped at two lines for consistent rendering.
Model selector — choose text / image / video models directly in the UI; the new agnes-2.5-flash model shows an in-testin
Docker Hub page shows a concise description and a full README-based overview, refreshed automatically on each release.
Docker Hub overview update now respects the 100-byte short-description API limit, so the description and README publish
GHCR pull path corrected to ghcr.io/lcy362/free-short-video:<version>; the invalid orphan-cleanup step is removed.
Release workflow: orphan-cleanup step no longer references secrets in an if condition, keeping the multi-arch image publ
GHCR images are now pushed with the GITHUB_TOKEN, linking the package to this repository and enabling the multi-arch pul
Docker data persistence — the image now declares VOLUME for /app/.working_dir and /app/.agnes_config; one-command launch
Release notes now show both GHCR and Docker Hub pull commands; the GHCR tag format is corrected to drop the v prefix (e.
Docker builds now default to the official PyPI source; builds inside mainland China can opt into a local mirror via a bu
Resource navigation bar — quick-access links (Demo, Home, Guides, FAQ, GitHub) below the header.
Poetry Video task type — new POST /api/tasks/poetry: the LLM splits a poem into scenes (original line | visual descript
Intermediate-artifacts viewer — the task detail panel shows every step's intermediate outputs (prompts / images / videos
6 new UI languages — German (Deutsch), French (Français), Dutch (Nederlands), Spanish (Español), Portuguese (Português)
Video watermark — automatic watermark overlay on generated videos, with language detection and a UI toggle.
Structured scene configuration — replace the free-text user_requirement with explicit parameters: duration_source (manua
Bilingual screenwriter — all 14 screenwriter meta-prompts support Chinese/English switching.
Multi-workspace management — add, switch, and manage multiple working directories from the Web UI; each workspace keeps
Multi-task concurrency control — a weighted semaphore lets multiple tasks run concurrently with automatic queueing; new
Subtitle & narrator independent control — SubtitleConfig elevated to a peer of AudioConfig, each with its own enabled to
i2i end frame pipeline — image model unified to agnes-image-2.1-flash; i2i array API; character reference images normali
API Key clear/reset — cleanly clear a key in the Web UI instead of only overwriting it.
Three task types with shared foundations — Simple Video (single prompt → single video via Agnes Video API, t2v/i2v/ti2vi
Web UI — one-click launch, operate entirely in the browser, no command line needed.
About Agnes Video Generator
A completely free, open-source AI video generator: turn text into multi-scene AI videos with narration and subtitles.
- Free and open source — no payment, no high-end GPU required
- Text-to-video, image-to-video, digital anchor and image generation
- Powered by free Agnes AI models, rendered entirely in the cloud
- Runs via Web UI, Docker or npm, and supports self-hosting
Related Pages
Quick Start: Free AI Video Generation Guide
From getting a free API key to generating your first AI video — a step-by-step guide to Agnes Video Generator.
Try Online Demo | Agnes Video
Enter a prompt and generate AI videos and images instantly
Agnes Self-Hosting Guide — Docker, npm, AI Agent | Free AI Video Guide
Run the free open-source AI video generator on your own computer or server: start.sh manual deployment, one-command Docker, npm CLI, AI Agent — complete commands and requirements.
Why you can trust this
Written by a practicing developer and cross-checked against authoritative primary sources such as arXiv papers, vendor technical reports, and the Stanford AI Index.
SandGrid@lcy362
Author of Agnes Video Generator · Full-stack Developer
Independent developer and author of Agnes Video Generator, an open-source (MIT) AI video generation tool built on Agnes AI's free video models. Has helped 1,000+ creators produce AI videos at zero cost. Focused on making video generation models accessible and production-ready; content is based on hands-on practice and primary research.
View on GitHubLast updated:2026-08-21
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