# Align Image Snaps an image's width and height to a clean multiple of a number you pick — 8, 16, 32, 64, whatever the model downstream wants. Qwen image models, VAEs, and plenty of samplers behave best (or only work) on sizes that divide cleanly; this node makes any input legal without hand-typing resolutions. ## Controls - **image**: BHWC batch to align; every frame is treated the same. - **multiple**: Both output sides come out divisible by this. `16` or `32` suits most diffusion models; latent nodes generally want at least `8`. - **mode**: How the multiple is reached. Each mode implies its own rounding direction, so there is no separate rounding widget: - **resize** — rescale to the *nearest* multiple. A slight stretch, but every pixel's content survives. The default. - **crop** — crop *down* to the next multiple. No distortion; a few edge pixels are trimmed where **Anchor** says. - **pad** — pad the edges *up* to the next multiple. No distortion; the new pixels land where **Anchor** says and are filled per **pad_fill**. - **Anchor** (`crop_position`): Crop mode only — which part of the frame survives. `center` trims both edges evenly; `top`, `bottom`, `left`, or `right` pin that edge and trim the opposite one. Ignored by resize and pad. - **Anchor** (`pad_position`): Pad mode only — where the image sits on the grown canvas; the new pixels land on the opposite side. `center` splits them evenly. Same vocabulary as `crop_position`. - **pad_fill**: Pad mode only — what fills the new area. `replicate` stretches the edge pixels out; `color` uses **pad_color** as a solid. - **pad_color**: The solid fill for `pad_fill: color`. Hex, `R,G,B` numbers, or a CSS color name. A side already smaller than one multiple can never be cropped legal, so it snaps up to exactly one multiple in every mode (in crop mode the deficit is replicate-padded evenly, whatever the **Anchor**). ## Outputs - **image**: The aligned batch. - **width** / **height**: The new size as INTs — wire them into an Empty Latent, a resize, or conditioning nodes so the numbers can never drift from the actual image. ## Notes At most `multiple - 1` pixels are added or removed per side, so the change is invisible at 16 or 32 on normal resolutions. Batches keep their frame count; values stay in `[0, 1]`.