Make Your Own DC.
They say you're obsolete. Maybe it's the whole idea of "working for someone else" that's obsolete.
In the age of AI, the real question isn't whether machines replace people. The real question is: Who owns the machines? Who owns the pipeline? Who owns industrialized productivity?
If the answer is always Big Tech, then AI isn't empowerment. It's just a new wall.
I'm Eric.
This isn't a demo. Not a toy. Not a crippled edition.
This is the industrialized drama-production line our own team runs every day. From script to storyboard, from assets to finished film — the whole chain.
Because people aren't beasts of burden. Because creativity is humanity's last line of defense.
What DramaClaw sets out to do is simple:
Tear down the wall.
Put the industrialized drama-production power that only Big Tech had into the hands of ordinary creators.
The code is here. If this resonates, leave a ⭐. We'll keep tearing down walls.
English | 简体中文 | Website | Docs | Quick Start
🎬 Made with DramaClaw
Real short dramas our team produced on this very pipeline — click a link to play.
More clips: 3D 动漫混剪 demo · 动态打斗
What is DramaClaw?
DramaClaw is an industrialized drama-production line whose source is available. Drop in a manuscript and DramaClaw takes over all the heavy lifting: extracting characters, planning episodes, generating scripts, drawing storyboards and first frames, synthesizing voice-over, and cutting the final film.
It's built for creators, indie studios, and creative engineers — letting you run the whole "drama factory" on your own infrastructure, without stitching together a dozen disconnected tools or handing your material to an opaque black-box cloud service.
And although it's built around drama production, the same pipeline — characters, assets, scripts, storyboards, voice-over, and compositing — carries just as well to other visual-content formats: short-form ads, e-commerce product videos, and interactive otome (romance) games.
Core Capabilities
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Novel parsing & story graph — parse the manuscript into a queryable graph of characters, relationships, and timeline
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Asset Library & identity consistency — unified management of characters, scenes, props and voices; keep stable identities across episodes, generate character portraits and per-episode variants
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Episode planning & narrative pacing — automatic chapter segmentation, beat planning, multi-episode arcs
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Script generation — multiple modes (adaptive, literal, staged) with review / repair loops
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Storyboards & first frames — beat-driven stylized image generation, grid splitting, image-pool selection
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Voice-over synthesis — emotion-aware speech synthesis, switchable across providers
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Video composition & export — assemble episodes, export video + subtitle files and the full asset pack
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Freezone (infinite canvas) — node-based visual workbench: drag in project assets to generate images / video / audio, promote satisfying candidates back to the main line; the main pipeline and canvas exploration run as dual tracks
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Director World / 3GS (scene variants) — a framable virtual set that locks spatial structure, character blocking and camera placement to keep the same location consistent across shots
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Xia Director (AI assistant) — conversational production assistant that checks project progress, advances script / shot tasks, audits deliverable completeness and suggests next steps
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Visual Style (style templates) — upload a reference image to auto-extract style parameters and apply them across the whole project for a consistent look
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Task Center — status, progress, logs and cancel / retry for background generation tasks, with resume-from-checkpoint for long runs
Pipeline at a Glance
Every step has its own interface — run them in order, skip steps, resume from any checkpoint, or even plug in your own orchestrator.
System Requirements
DramaClaw runs all inference through a remote OpenAI-compatible gateway — nothing runs models on your machine — so the local footprint is light. An ordinary laptop or a small VPS is enough.
Item Requirement
CPU / RAM ≥ 2 vCPU / 4 GB recommended (excludes model inference — that runs on the gateway)
GPU
Not required for the standard pipeline. Only the optional world extra (voxel / panorama-to-3D) needs a GPU + CUDA image
Disk
A few GB for images plus generated media/state under the ce-data volume (no hard minimum)
OS macOS (Apple Silicon / Intel), Windows (Docker Desktop + WSL2 backend), Linux (Docker Engine + compose plugin)
Docker
Docker + docker compose
Ports
8080 web UI · 8780 REST API · 3000 bundled gateway (self-hosted variant only)
Datastores None required — no Postgres, Redis, Celery or Ray. Tasks run in-process; state lives on the l