Ross ROSS = Recommend OSS · open-source software intelligence for agents

869413421/ai-moive-studio

自然语言驱动的无限画布工作流 Agent,让 AI 视频创作第一次真正变成可编辑的工作流。 AICON 面向创作者,提供从剧本拆解、分镜生成、素材生成、视频合成到内容分发的一整套能力。 不是只给你一个输入框,而是让你用自然语言和无限画布一起驱动创作,把文本、图片、视频节点组织成完整链路,真正把“从灵感到 成片”放进一个系统里完成。 observed · 2026-08-28

github.com/869413421/ai-moive-studio · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 76
  • Release rhythm 63
  • Longevity 21
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 17
  • age_days: 296
  • days_rel: 247
  • days_push: 149
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1456 stars · 234 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AICON is a full-stack, self-hostable AI video creation studio that pairs a natural-language-driven agent with an infinite-canvas node editor for text, image, and video generation nodes. It turns long-form text such as novels or screenplays into characters, scenes, storyboards, keyframes, and generated videos, then composites voiceover, subtitles, and music and can auto-publish the results (e.g., to Bilibili).

Use cases

  • turn a novel or screenplay into an AI-generated movie
  • generate storyboards, keyframes, and transition videos from a script
  • build AI image and video generation workflows on an infinite canvas
  • batch-produce narrated explainer or picture-commentary short videos with images, voiceover, and subtitles
  • keep characters visually consistent across generated shots using reference images
  • organize prompts, reference images, and multi-version generations in a visual node editor
  • automatically upload and publish finished videos to Bilibili

When to choose

  • You want an end-to-end pipeline from long text to finished, publishable video inside one system
  • You prefer node-based canvas editing where an assistant scaffolds the workflow but you control when generation runs
  • Character consistency across scenes is important and you want reference-image-driven generation
  • You produce picture-narration or plot short videos at volume and need concurrent image, speech, and subtitle generation
  • You want to swap model providers via OpenAI-compatible base URLs and self-host the whole stack

When to avoid

  • You need frame-accurate manual video editing - use a professional NLE instead
  • You expect one-click fully autonomous generation; the canvas assistant only builds nodes and connections, and you trigger each generation step manually
  • You don't want to operate the backend stack (PostgreSQL, Redis, Celery, MinIO) or manage your own model API keys
  • You need fully offline generation - the tool depends on external model providers

Facets

application · maturity active

video-processing image-processing tts agent-framework workflow-automation prompt-engineering artificial-intelligence large-language-models media self-hosted python ai-video-generation text-to-video infinite-canvas node-editor storyboard-generation script-breakdown character-consistency picture-narration voiceover bilibili vue3 fastapi celery minio self-hostable content-creation movie-production video ai-agents web-server docker

2 sources

Member repositories

RepositoryRoleHealth v2
869413421/ai-moive-studiomain60

For agents

markdown · JSON · MCP: product_card(name="869413421/ai-moive-studio")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem