How do you load character and style context into every AI video prompt to maintain consistency across clips?

Load character and style context at three layers and repeat them on every generation:

1. A fixed text style block pasted at the start of every prompt
2. Locked character sheets attached as image references to every clip
3. Persistent agent context — script, sheets, and style loaded once so they auto-attach One documented production held a hand-painted style across 164 clips this way.

AI video models carry no memory between clips — every generation starts blank, so consistency comes from re-supplying the same character and style context on every single prompt, either manually or through an agent that holds it for you. invideo is an agentic video creation tool with all the current video models available, which is what makes the third layer below possible; the first two work anywhere.

1. A fixed text style block repeated in every prompt. Write one reusable paragraph defining your style — palette, texture, rendering quality — and paste it verbatim at the top of every prompt for the whole project. Make the negative constraints explicit: one documented animated episode used the block "This MUST look and feel like Arcane animation — not live action, not photorealistic. Every surface has hand-painted brushstroke texture," and every prompt after that started with it. To establish the block, upload a large batch of style frames in one message — that production fed 64 reference frames with the instruction to deeply understand the art style and save it to context. Keeping a fixed prompt assembly order (camera spec, lens, lighting source, palette, composition, atmosphere, mood, film attribution, negative prompt) ensures no stylistic element silently drops out of a prompt mid-project.

2. Locked character sheets attached as image references to every clip. Before generating any video, build a multi-angle reference sheet per character — front, side, back, plus face close-ups, since close-up panels are what carry small details like scars and accessories across models. Remove objects from characters' hands before generating turnarounds to avoid angle-to-angle inconsistency. Generate several options per sheet (one production generated 4 per asset), pick the best, and lock it — then attach that sheet to every generation, because the model needs to see the character exactly or it will hallucinate whatever is hidden. The numbers stay small: 11 reference images covered 4 characters and 1 prop for an entire 3-minute episode, and locking one character took about 5 generations at roughly $9.78. A 70-second short film kept 2 characters consistent across every scene with sheets and context alone — no LoRA fine-tuning. If a character's appearance evolves across the story, make a separate sheet per beat; and when a continuity error appears in a shot, fix it in the character sheet rather than re-rolling the shot, so every subsequent generation inherits the correction.

3. Persistent agent context — load once, hold everywhere. Instead of re-pasting blocks and re-attaching images yourself, load the full package — script, style block, character sheets — into the invideo agent at project start; it keeps that context loaded across every frame and attaches the right references to each generation on its own, scene to scene, without re-explaining. Run it in Always Ask mode so you approve each prompt and its attached references before credits are spent. With context loaded, a three-word continuation prompt — "Everything should match" — is enough to hold character, lighting, lens grammar, and spatial continuity across a multi-shot sequence. Two disciplines keep the loaded context accurate: if you create or edit an image manually, log it back to the invideo agent so its shot breakdown and memory stay current; and since every roster video model runs inside invideo, let the invideo agent route each shot to the model that best carries your references rather than choosing per clip yourself.

These three layers stack — the documented productions above used all of them together, and how much weight each carries depends on your project's length and style.

Watch some of these to see what works for you:

I want you to deeply understand this art style and save it into context for further generations. All of these attached images are the art style that I want for this entire project.

— invideo's creative team, documented production prompt