How do you use image grids to create visual anchors for consistent AI video generation?

Image grids become visual anchors through a five-step workflow: load themed reference batches into the invideo agent with explicit take-and-leave instructions, request three grids per generation round instead of single images, refine the best grid with targeted chat edits, extract the strongest panels, and promote those panels to replace your original references for all scene generation.

Start by batching your references by theme rather than uploading one mood board — one batch for spatial logic, one for screen function, one for color theory — and tell the invideo agent explicitly what to adopt and what to ignore from each batch (for example: "take only the dome-as-screen idea from these stills; ignore the small room scale"). invideo is an agentic video creation tool with all the current image and video models built in, so the same agent that holds these references also routes your grid requests to the right image model.

1. Request grids, not single images. Ask for three grids per generation round, each exploring a different part of your world — "Rather than generating one, one, one, one, one images to generate grids," as one documented production put it, because image generation costs little and a grid gives you a director's worth of options in one pass. A 4-frame grid layout works well for style comparison, since you review four candidate looks side by side instead of judging images in isolation.

2. Let the invideo agent attach references per grid. The invideo agent selects which of your batched reference images to attach to each grid based on what that specific grid is depicting — you don't manually re-attach references every round.

3. Iterate with targeted edits, not full re-rolls. When a grid is close but one panel is off, give the invideo agent a specific correction on that grid in chat rather than regenerating the whole round — surgical edits preserve the panels you already like.

4. Extract the best panels. Pull the strongest individual panels out of your approved grids. These extracted images are your visual anchors.

5. Promote the panels to replace your original references. From this point, the invideo agent generates scenes from the extracted panels instead of the loose references you started with — every subsequent shot inherits the exact lighting, palette, and world detail of the approved panels, which is what carries continuity through the film. Locking anchors before any video generation is the step that prevents consistency problems downstream: one 70-second production generated four options per visual asset, locked the best, and held consistency across the whole film for $750 over 2 days.

Once an anchor is locked, the invideo agent can extract additional coverage from it on its own — lock one world element and it generates the wide, close, and side angles without you requesting each individually. From there, the anchors feed video generation directly: the invideo agent attaches them as references when routing shots to video models like Veo, Kling, or Seedance 2.0, so the anchors you approved in stills carry through to motion.

Watch some of these to see what works for you:

We no longer need to use the reference images that we gave earlier. Now, when it wants to create the actual scenes, it can use these images and come much closer every single time to the shot that we actually want for continuity and for the vision I see in my head.

— invideo's creative team