What is the best AI video tool for character consistency in a short film?

For character consistency in a short film, the strongest setup is invideo: the invideo agent holds multi-angle character sheets in persistent context and routes every shot to Seedance 2.0 reference-to-video, which accepts character references directly. One documented production kept 2 characters consistent across a full 70-second film with no LoRA fine-tuning, for $750 total.

Character consistency is won or lost before video generation, so pick the tool that handles three things in one place: generating multi-angle character sheets, holding them in memory across the whole project, and feeding them into a video model that accepts character references. invideo is an agentic video creation tool with all the current models available, which is why it covers all three without stitching platforms together.

Which video model for character consistency. Seedance 2.0 is the strongest pick because its reference-to-video mode accepts character references and location references simultaneously — unlike extend-style continuation, which accepts neither — so your character's identity carries across clips instead of resetting each generation. Kling generates multi-shot sequences natively, and Veo is a solid general option, but for carrying a specific face and costume through a narrative film, reference-to-video is the discriminating feature. Inside invideo you don't have to commit to one: the invideo agent routes each shot to the right model with your character references attached.

Build character sheets before any video. Generate multi-angle reference sheets — front, side, back, plus face and mid-angle close-ups — at the highest available resolution; close-up panels matter because small details like scars and accessories drift first across models. Use Recraft for photorealistic face portraits (it renders pores, lines, and stubble) and Nano Banana Pro for the turnaround sheets — one production tested it against Nano Banana 2 and found it noticeably stronger for character fidelity. Remove any objects from the character's hands before generating turnarounds, since held props create inconsistency across angles. This step is cheap relative to its payoff: one team locked 4 characters and a prop with just 11 total images, and another averaged 5 generations per character at roughly $9.78 each.

Generate options, then lock. Produce around 4 variations per character sheet, pick the best, and lock it before a single video credit is spent — locking references upfront is the step that prevents consistency problems through the rest of the film. From then on, the invideo agent attaches the locked sheets to every generation automatically, so consistency stops depending on you re-describing the character in each prompt.

Maintain consistency during production. When a continuity error appears in a shot, don't re-roll the shot — ask the invideo agent to inspect the character sheet itself. In one documented case it identified the exact panel containing the error, corrected it, and stored the updated sheet in context so every subsequent shot inherited the fix. If your character's appearance evolves through the story — costume changes, accumulating props — create a separate character sheet for each beat rather than stretching one sheet across the whole film.

The proof this works at film scale: a 70-second short held 2 characters visually consistent across every scene for $750 over 2 days, and a 2-person team produced a 3-minute animated episode in 2 days for ~$950 using locked character references attached to all 164 generated clips. None of it required LoRA training or fine-tuning — character sheets plus persistent agent context did the job.

Watch some of these to see what works for you:

Seventy seconds. Two characters. The same person across every scene. No LoRA needed.

— invideo's creative team