Upscale & Extend · Versely AI

    Split a Grid Image Into Separate Images

    One grid in. Every cell out, separately.

    Plenty of image output arrives as a grid — a 2×2 set of variations, a four-up contact sheet, a supplier's product sheet with nine items on one JPEG. As a single file it's useless as ad creative: you can't post a tile, run one through an upscaler, or feed one into an image-to-video generation. split_image_grid takes the image plus a row and column count and returns the individual cells.

    It's a deterministic slice, not a model call — you're telling it the grid is 2 by 2 or 3 by 3, and it cuts accordingly. That makes it reliable on a real grid and wrong on an image that only looks like one.

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    split_image_gridupscale_imagegenerate_image_from_image

    Split an image into a grid (NxM) of smaller images. Useful when a user provides a grid image and wants to extract individual tiles or cells from it.

    What to tell the agent

    Versely's agent maps this plain-English request directly onto split_image_grid. You don't need to know the parameter names — just describe what you want.

    This is a 2x2 grid of variations — split it into four separate images.

    How it works

    1. 1. Count the grid

      rows and cols are both required, alongside image_url. Get them right: a 2×2 instruction on a 3×3 sheet slices straight through the middle of six tiles.

    2. 2. Run the split

      The tool cuts the image into rows × cols cells and returns each as its own image.

    3. 3. Pick the ones worth keeping

      Usually one or two of a variation grid are the keepers. The rest can be discarded now rather than carried through the rest of the pipeline.

    4. 4. Take the keeper further

      A single tile is a quarter of the original's pixels, so upscale_image is the usual next step before print or a large placement — and the tile is now a valid input for generate_image_from_image or an image-to-video generation.

    What it costs

    A deterministic slice rather than a generation, so it's a lightweight image operation. The cost that follows it is usually the upscale — that's billed per the model you pick, so confirm with estimate_cost before running it across every tile.

    The formula behind that number: What does a batch of 100 AI product images cost? charges one fixed price per call, so the image's size and shape are free.

    Limits & things to know

    • It cuts on an even grid at the row and column counts you supply — it does not detect the grid, and it won't handle an irregular collage or tiles separated by uneven margins.
    • Each tile is a fraction of the source resolution. A 1024px 2×2 grid yields four 512px images, which is often too small to publish without an upscale.
    • Borders, gutters and any caption strip on the original get sliced along with the picture — trim or upscale afterward if the source had visible dividers.

    Who uses this

    • Pulling the one good variation out of a 2×2 generation grid
    • Breaking a supplier's multi-product sheet into separate product images
    • Turning a contact sheet of frames into individually usable stills
    • Extracting tiles to use as reference images for follow-up generations

    Frequently asked questions

    Does it detect the grid automatically?+

    No — rows and cols are both required parameters. You tell it the shape of the grid; it cuts evenly on those lines.

    Will the split tiles be full resolution?+

    Each tile is its share of the original's pixels, so a 2×2 split gives you quarter-size images. Pair it with upscale-image-resolution if the tile needs to be published larger.

    Can I use a split tile to make a video?+

    Yes — once separated, each tile is a normal image URL, so it works as an input to generate_image_from_image or an image-to-video generation the same as any other picture.

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