Novel to AI Short Drama: The Complete 2026 Workflow (from manuscript to a 10-episode vertical series)
Turning a novel into an AI short drama is six jobs: parse & split (a 200k-word manuscript into 40–80 episodes of 1–2 minutes), reference art (full-body character sheets, empty-set scene plates, key props — the reference images every later shot inherits), storyboard scripts (each episode into 6–10 segments of 4–15 s with camera, dialogue, action and lighting), segment video generation (one segment = one model call), voice (a voice bound to each character) and episode compositing. End-to-end tools chain all six around one shared cast library; single-purpose video generators (Kling, Hailuo, Runway, Pika…) only do stage four.
Stage 1 — Parse and split: the skeleton of the series
Parsing must produce four artefacts: a cast sheet (appearance written so an image model can reproduce it — face shape, brows, eyes, nose, lips, skin, hair, build, apparent age, plus one visual anchor), a scene sheet (spatial structure, materials, where the light comes from — no plot debris), a prop sheet, and an episode outline (each with a conflict, an emotional peak and a closing hook).
Split to short-drama rhythm: 1–2 minutes per episode, 200–300 words of spoken dialogue, no more than 3–4 physical locations. Completion rates fall off a cliff past two minutes — that is platform data, not taste.
End-to-end tools (SceneMixer, LibTV, Xiaoyunque) do this with an LLM automatically; with a single-purpose generator you write the four sheets yourself — which is why most "make a drama with Kling" tutorials collapse halfway.
Stage 2 — Reference art is reference, not a poster
Character sheets: pure white background, frontal full body, neutral light. Scene plates: no people, three layers of depth, an explicit light source. The reason is mechanical: any mood, lighting or framing baked into a reference image is inherited by every shot that uses it and then fights the per-shot lighting in your storyboard.
These two images are the physical basis of consistency: they are passed as reference images with every segment so the model has a "same person, same room" anchor. Tools without a reference-image mechanism drift across episodes by construction.
Stage 3 — Storyboards: long segments, short shots
A segment is one video-model call, typically 10–15 s; inside it you cut 3–6 shots. Push segments toward 15 s and compress individual shots: fragmenting segments doubles cost and models are more likely to ignore intra-segment cuts.
Per shot write: framing and camera position, who is in frame (never name who is out of frame), action written as cause not result, dialogue with speaker attribution, lighting as source direction and colour temperature — never as where the light "lands". Size dialogue shots by speech rate: about 2.5 English words per second; 10 words need ~4 s. Over-allocate and the model fills time by repeating the line.
Stage 4 — Generating segments: choosing a model
Mainstream options in 2026: Seedance 2.0 (ByteDance/Volcengine), MiniMax Hailuo H3, Alibaba Wan 3.0, Kling 3, Vidu, PixVerse, Veo and Sora. For serialized drama what matters is not how spectacular one clip looks but three things: does it honour reference images (consistency), does it execute intra-segment cuts, and does lip-sync follow the speaker who is actually in frame.
Field notes: 9:16 first; 720p/768p tiers for drafts, 1080p/2K for finals; avoid mixing two models' segments inside one episode — mismatched encoding forces a re-encode at compositing.
Stage 5 — Voice
Two routes: a voice description in the shot text (rendered by models with native audio) or a reference audio clip of 3–8 s bound to each character. Reference audio is steadier but has upstream limits (MiniMax H3: ≤15 s total reference audio, ≤3 clips per segment). Matching from a preset voice library is two orders of magnitude cheaper than generating a custom voice per character and avoids hidden "voice slot" fees.
Stage 6 — Compositing and delivery
Episode compositing = concatenating segments + transitions + title cards. Cloud concatenation finishes in under a minute; local ffmpeg re-encoding on a 2-core box will take it down. Vertical delivery spec: 9:16, 1080×1920, H.264, ≤2 minutes per episode. Compare tools on cost per finished 10-episode series, not per-second list price — see the cost breakdown.
FAQ
How long does one episode take?
Parsing a whole book: 3–5 minutes. Storyboard per episode: 1–3 minutes. Each segment: 3–10 minutes depending on model and queue; eight segments in parallel is about 15–20 minutes per episode. Compositing under a minute. Human review is extra.
Do I need to write storyboards myself?
End-to-end tools generate them for review and editing. With a single-purpose generator you write every shot yourself and rewrite it per model's prompting habits.
Characters change faces between episodes — what now?
Root cause is usually a broken reference chain or a stylized character sheet. Reshoot the sheet on white with neutral light, make sure every segment receives it, then shorten segments and avoid crowded frames.
Which genres don't work yet?
Large battles and crowds, long continuous fight choreography and fine mechanical actions still fail; graphic gore is blocked by content moderation on Chinese models. Two-person dialogue, single-character emotional beats and strong back-lit scenes work best.