# yuanzhongqiao/printfilm

短剧平台 AI Short Film  Motion Comic Generation Platform Industrial AI Motion Comic & Video Workbench

Repository: https://github.com/yuanzhongqiao/printfilm
Canonical: https://ross.abutalabs.com/products/printfilm
Homepage: http://www.printfilm.com
Language: Java
License Family: other
Topics: ai, video-generation
Last push: 2026-08-11T03:37:38+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 75, longevity 12
- inputs: {"age_days": 171, "days_push": 22, "days_rel": 90, "gap_med": 38, "n_releases_24m": 2}
- flags: young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3913, forks 549 (observed 2026-08-28T04:08:28.968363+00:00)

## What it is
Printfilm is a self-hostable AI short-drama (short film / motion comic) creation SaaS platform built on Next.js and Spring Boot. It provides a creation center for text-to-image, text-to-video, and image-to-video generation, a DramaForge production pipeline (script parsing, asset design, storyboarding, shot video, compositing), and an infinite-canvas node workflow, calling external models via TokenFree and Volcano Ark Seedance.

## Use cases
- generate ai short films from a script
- create motion comics with ai
- turn a screenplay into storyboard shots and videos
- text-to-video and image-to-video generation workbench
- manage ai video generation projects with a team
- build node-based ai video workflows on an infinite canvas
- self-host an ai drama production platform

## When to choose
- you want an end-to-end pipeline from script to finished short video
- you need self-hosted control over ai video generation tasks and assets
- you want a visual node canvas plus a guided production pipeline
- you use TokenFree or Volcano Ark Seedance models

## When to avoid
- you need a simple one-click video generator without project management
- you cannot run Java 21, Node 20+, PostgreSQL, and Redis
- you require a permissive open-source license - the repo has none
- you need offline/local model inference - it depends on external AI APIs

## Facets
- artifact type: application
- maturity: active
- function: machine-learning, video-processing, image-processing, nlp, web-framework, auth, workflow-automation, chat-interface
- domain: artificial-intelligence, image-processing, web-development, media, self-hosted
- platform: self-hosted, jvm, cross-platform
- tags: ai-short-film, text-to-video, text-to-image, image-to-video, motion-comic, saas, storyboard, spring-boot, nextjs, react-flow, seedance, video-generation, video, docker, web-server, nodejs

## Member repositories
- yuanzhongqiao/printfilm (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:28.968363+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:25:04.353492+00:00, confidence not recorded.
  - readme: https://github.com/yuanzhongqiao/printfilm (fetched 2026-08-28T04:08:28.968363+00:00, sha 3adb9b6c39fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.