How do you stop AI video generators from hallucinating scene details and adding wrong elements?

Hallucinations happen when the model is asked to invent what you didn't specify. Stop them by locking the visual ground truth upstream (character sheets, world refs, style block on every prompt), generating with shot-by-shot approval before credits fire, and routing through an agent that asks clarifying questions when the brief is ambiguous instead of guessing silently.

Hallucination is not just a prompt-quality problem — it's a workflow problem. The fix is to remove every gap the model would otherwise fill on its own. invideo is an agentic video creation tool with all the current generation and image models available, and the invideo agent is where you enforce that discipline shot to shot. Work the four mechanisms below in order.

Lock the visual ground truth before any video generates. Make character sheets (multi-angle front/side/back plus face and mid close-ups), environment reference plates, and a style block before a single clip is generated. In one documented 3-minute animated production the team generated 11 reference images covering 4 characters and a key prop, and 4 reference options per asset were created so the strongest one could be selected and locked. Character consistency was held across a 70-second short film with two characters and zero LoRA — purely from sheets plus persistent agent context. If a continuity error shows up later (wrong earring, wrong object in hand), don't re-roll the shot — ask the invideo agent to inspect the character sheet, identify the panel containing the error, fix it at source, and store the corrected sheet so every later shot inherits the fix.

Write prompts that leave nothing for the model to invent. Each shot prompt should carry: subject and character traits, lighting source, lens and framing, motion, atmosphere and mood, and the locked style block as a prefix on every prompt. Negative constraints matter as much as positive ones — "this MUST look painterly, not live-action, not photorealistic" is what stops style drift mid-sequence. Tell the model explicitly what to take from your references AND what to ignore; dropping illustrated refs into a prompt without that instruction is a common failure — the better move is having the invideo agent read colour and texture from the reference and prompt for those rather than copying the image. Generate in short segments (the documented Arcane-style production worked in 15-second chunks and used roughly 5 seconds of each), which keeps cross-frame consistency errors contained.

Make the agent ask, not assume. The biggest architectural fix is forcing the invideo agent to surface ambiguity before generation fires. Before any assets get generated, run a four-question pre-production unlock — character, antagonist/entity, prop specification, deliverable format — so the four things that change every frame are answered, not guessed. When you build coverage, the agent should flag undecided production design ("that reverse wall doesn't exist yet — what should it be?") and offer options instead of inventing one. Hridaye, invideo's creative director, frames the standard this way: "It doesn't assume. It asks. Every gap gets filled before the frame gets built." Run the agent in always-ask / shot-by-shot approval mode so every generation has to pass you before credits are spent — that's your last gate against wrong elements slipping into final footage.

Catch what slipped through with a maker-checker pass. After assembly, send the rough cut back to the invideo agent with an open "what's working, what's not" prompt against the loaded style document. In one horror short documented at ~400 video generations and 30 image generations, this pass caught the entity reveal running at the wrong emotional stage register — the kind of structural hallucination a human editor misses. Slow-playback an anatomy/physics/background pass on hero shots; for high-risk briefs (multi-character contact, complex POV) use AI footage as B-roll and reserve cleaner generations for hero moments. Across documented productions ($315–$750 per finished minute, 2–5 day timelines), the teams that stayed inside this loop — lock refs, prompt completely, ask not assume, review — are the ones whose final cuts don't carry phantom elements.

A pointer, not a method here: if you're going deeper on style adherence, the visual-language treatment document loaded once at project start is the strongest single defense against drift across a whole film — but that's a different question.

Watch some of these to see what works for you:

It doesn't assume. It asks. Every gap gets filled before the frame gets built.

— Hridaye, invideo's creative director