What is the best AI workflow for film moodboards and camera movement annotation?

The best workflow runs through one context-loaded invideo agent: upload four locked documents (character sheet, location sheet, shot breakdown, look-and-feel), generate nine-panel moodboard grids with GPT-Image-2, hand-pick frames into three-panel grids, draw camera-movement arrows directly on the grid, and animate each grid with Seedance 2.0 — 9.5/10 movement accuracy, the highest of five documented methods.

invideo is an agentic video creation tool with the current video and image models — GPT-Image-2, Seedance 2.0, Kling, Veo — available in one place, so this entire pipeline runs through a single agent without exporting between tools.

1. Load context before generating anything. Create a new agent and upload your four locked documents: character sheet, location sheet, shot breakdown, and look-and-feel document. The invideo agent attaches that context to every subsequent generation automatically; without it, moodboard output drifts on look and angle from shot to shot.

2. Generate nine-panel moodboard grids. Ask the invideo agent to generate 9-panel moodboard grids with GPT-Image-2 from your shot breakdown — this stage reaches 80–85% accuracy to the director's vision, and the frames come back looking close to first frames of the actual film. If you're starting from hand-drawn storyboards, have the invideo agent convert the sketches into photo-realistic frames first: sketch art style otherwise bleeds into the generated video.

3. Curate and lock before animating. Hand-pick the frames you like and compile them into three-panel grids — the split makes each frame large enough for Seedance 2.0 to read details accurately. Treat selection and grid compilation as a discrete step: do not animate before the grid is locked.

4. Annotate camera movement with arrows drawn directly on the grid. Mark each panel with movement arrows — left to right, upward, whatever the shot needs — and the invideo agent translates them into Seedance 2.0 motion prompts. This is the highest-accuracy camera-movement method documented: 9.5/10 accuracy at $1,500–$2,000 per minute of output, versus 8.5/10 at $175–$200 for the same grid pipeline without arrow-level precision. Reserve the arrow tier for shots where exact movement is non-negotiable — VFX-grade sequence previz — and run everything else at the grid tier.

5. Animate in batches of three. Feed each three-panel grid to Seedance 2.0 one at a time rather than all nine shots at once — batching prevents plasticky-looking footage and gives you direct control over edit pacing. Seedance 2.0 generates up to 15 seconds per shot (Kling caps at 10); for longer moves, generate individual clips and have the invideo agent stitch them.

Why this beats the alternatives. Across five documented previz workflows, accuracy ranged from 4/10 to 9.5/10 at $150–$2,000 per minute: a shot-breakdown-only pass ($150/min, 4/10 accuracy) suits early treatment exploration, a single locked reference frame reaches 6/10 for the same cost but took 7–8 iterations to land one specific camera angle, and raw sketch grids add only marginal accuracy for extra iteration time. The grid-plus-arrow pipeline is the only one that covers both moodboard fidelity and precise camera direction in the same pass. Once shots are locked, line the frames up on Slate inside the invideo agent to cut a full animatic — half a day and under $50, versus $500–$2,000 and a week with a traditional storyboard-artist pipeline.

Watch some of these to see what works for you:

Draw arrows straight on your storyboard grid. Left to right, upward, whatever the shot needs. Agent One reads the arrows and prompts Seedance with them. This is where previz stops being guesswork and starts being actual directing.

— invideo's creative team