# Seamless Tiling & Tessellations How to render an image that repeats edge to edge without visible joins — a seamless pattern, repeating texture, wallpaper, tiling background, or an Escher-style tessellation of interlocking figures. An ordinary render will **not** wrap. Diffusion models have no tiling mode here (no circular padding is exposed), so border continuity is never enforced — it only *emerges* when the sampled pattern happens to phase-align with the canvas. Everything below is about stacking the odds, then checking. ## The configuration ```bash sogni-agent -m krea2_turbo_fp8_scaled -w 1024 -h 1024 -n 4 -o tile.png \ ", a perfect crop from an infinite repeating pattern that continues beyond every edge, , " ``` | Element | Why | |---|---| | `krea2_turbo_fp8_scaled` | The only model that composes edge-to-edge. `z_image_turbo_bf16` renders an object on a background instead and cannot tile. | | **1024×1024, always** | The only size that tiles. 768, 1280, 1536, landscape, and 896×1152 all measured **0%**. It is the model's native resolution; off-native sizes never phase-align. | | `a perfect crop from an infinite repeating pattern…` | Removes edge-framing behaviour — the model stops composing *for* a frame. | | motif-scale clause | Sets how big the motif reads. Does **not** affect whether it tiles. | | lighting clause | Kills the global light gradient, which is what makes opposite edges disagree. The dominant failure mode. | ### Motif scale — pick for looks, not for tiling `the motif repeats exactly N times across and N times down` Use **N = 1** for large bold figures or **N = 2** for a medium pattern, and keep the two counts equal. Measured over 30 renders each: 1× and 2× both hit **63%**, against 50% for 4× and 40% for 3× — so stick to 1 or 2 and pick between them purely on how large you want the motif to read. This clause is a scale dial, not a tiling requirement. ### Lighting — global evenness required, local depth optional The constraint is *global*: no directional gradient or vignette across the frame. Individual figures may still be shaded, which usually looks better. - **Keep depth (recommended):** `consistent even illumination from edge to edge, with natural shading and depth modeled within each object` — 47%, and figures keep glossy highlights and three-dimensional modelling. - **Flat graphic look:** `uniform flat lighting with no shadows or vignette` — 59%, slightly better odds, flatter result. **Do not omit this clause, and do not soften it to something vague** like "evenly lit across the frame": both measured **8%**. The wording has to explicitly forbid the gradient and vignette. **Palette rule:** keep the subject tonally close — one dominant colour family. High-contrast pairings expose the seam, because a border offset in luminance can be flattened by prompting but an offset in *chroma* cannot. ## For interlocking Escher tessellations Phrase the subject as `photorealistic Escher tessellation of ` and add `every figure complete and recognizable, fitting its neighbors perfectly with no gaps, no overlaps`. `Escher tessellation` is the phrase that makes the model *deform silhouettes* so neighbours nest. Without it you get dense packing, not tessellation. Tested alternatives that do **not** work: "optical illusion", "negative space", "figure-ground reversal", "interlocking silhouettes", "wallpaper", "tessellation" alone. Compliant rounded shapes tessellate — frogs, ducks, octopi, shells, leaves, feathers, lizards, rubber chickens. Rigid objects (garden gnomes) resist and fall back to packing. ## It is probabilistic — always offer several Roughly **half** the renders wrap cleanly on a good subject, fewer on a hard one. So generate a batch and let the user pick: ```bash sogni-agent -m krea2_turbo_fp8_scaled -w 1024 -h 1024 -n 4 -o tile.png "" ``` Never promise that a given result tiles without checking. To check, place two copies side by side and look at the join, or measure it: compare the mean difference between opposite border rows/columns against the image's own mean adjacent-pixel difference. A ratio near 1.0 is seamless; the join is visible from roughly 3.5 upward. ## Subjects with the best odds Natural forms outperform kitsch — they already interlock, so the model is not asked to invent a deformation, and their palettes are inherently tonal. | Subject | Hit rate | |---|---| | iridescent teal peacock feathers | 4/4 | | pearlescent white nautilus seashells | 3/4 | | yellow rubber chickens | ~5/8 | | morpho butterflies, ginkgo leaves, glass jellyfish, koi, ceramic lizards | 2/4 | | green plastic aliens + glossy ceramic frogs | ~2/8 | Avoid subjects that render on a white ground (origami cranes, delft porcelain birds): they look beautiful but produce a uniform border, which means the image is not actually edge-to-edge. ## Reference implementation generates these interactively, and the repository (`Sogni-AI/sogni-infinity`) carries the full research log, the seam validator, and the calibration evidence behind these numbers.