How do you fix an AI video model that keeps failing on a complex or difficult shot?

When an AI video model keeps failing on a complex shot, escalate past prompting with physical references and editorial fixes:

1. Act the shot out on your phone and upload it as reference
2. Hand-draw the setup and upload the sketch
3. Generate multiple variations and lock one
4. Frankenstein shot — stitch the best seconds from several generations
5. Switch the generation model
6. Split the shot into simpler pieces

Before escalating, audit what you're attaching: over-prompting or a stray wrong reference image alone can produce completely incorrect output — in one production, removing a single misattached reference fixed a shot that kept coming back wrong. invideo is an agentic video creation tool with all the current video models available, so every method below runs inside one workflow with the invideo agent routing your inputs.

Act the shot out on your phone and upload it as reference. For POV shots and camera moves that text prompting won't produce, film a rough mock of the move yourself and upload it as a reference video — the model gets a motion-and-geometry anchor that words can't carry. In one documented production, the invideo agent itself suggested filming a mock video in the office after multiple prompting techniques failed on a POV shot, and the reference footage produced the shot.

Hand-draw the setup and upload the sketch. Multi-character contact shots — bodies, ropes, props touching — break models faster than almost any other scenario, and image models often can't build an accurate fused character sheet from text alone. Sketch the exact configuration by hand, upload the drawing, and have the invideo agent feed it to an image model like Nano Banana as a visual reference. One team unlocked a two-character carry setup this way, and that setup appears in 75% of the finished film.

Generate multiple variations and lock one. For abstract or ambiguous material — hallucinations, dream states — ask the invideo agent for several distinct visual interpretations before committing; one production generated 5 variations of a psychedelic sequence, picked one, and used it as the canonical reference for every subsequent generation of that scene. This converts an unpromptable idea into a concrete image the model can match.

Frankenstein shot. When no single generation is fully usable, stitch the best seconds from two or more generations of the same prompt into one composite shot. Budget for this as the default, not the exception: one documented episode averaged 3 generations per usable shot, and 17 of its 41 final shots were stitched from 2+ generations — over 40% of the finished cut.

Switch the generation model. Some failures are model-specific — over-the-shoulder shots, for example, are a documented weak point of Nano Banana that prompting alone cannot resolve. Because invideo carries Veo, Kling, and Seedance 2.0 in one place, the invideo agent can re-route a failing shot to an alternative model and prompting strategy without you engineering the pivot; in one documented case, a complex top-down shot landed on the first attempt after moving from manual prompting to agent-directed generation.

Split the shot into simpler pieces. If the shot packs too much action into one generation window, break it before burning credits. In one production the invideo agent flagged a scene requiring 18 cuts in 15 seconds as beyond the model's limit and recommended splitting it in two — the split version cut together sharper than the original script intended.

These are some of the ways to problem-solve this — what works depends on your shot.

Watch some of these to see what works for you:

The lesson for the day truly is that when the models get stuck you draw, you shoot, you bring your hands in and you get it done. And that's when agent one meets you there and takes it over the line.

— invideo's creative team