Krita AI Diffusion vs Air
Side-by-side trajectory, velocity, and editorial themes.
Krita AI Diffusion is becoming the canonical desktop on-ramp for new open diffusion models, Flux 2 and Z-Image first.
Krita AI Diffusion is on a roughly bi-weekly release cadence focused on three threads: adding new diffusion models, overhauling inpaint/selection behavior, and growing the custom-workflow node surface. The arc across 1.46 → 1.50 took Flux 2 klein and Z-Image from experimental preview to managed install plus cloud availability, gained Z-Image Tile and Lite controlnets, reshaped selections from Grow to Feather+Blend, and added Anima (anime 2B) and ERNIE Image (8B) as new preview models. The custom-workflow API keeps gaining capability (selection crops, output naming, mask outputs, parameter defaults).
The product is settling into a clear role: the canonical Krita-side surface for whatever new open diffusion model lands. The preview → official-managed-install graduation pattern (Flux 2 klein and Z-Image followed it) sets up the next round — Anima and ERNIE are next in line if they stabilize. Cloud (Interstice.cloud) is being kept in sync with local managed installs, so users opting in to either path get the same model catalog. Inpaint/selection internals are being reworked toward a single coherent Feather+Blend mental model.
Anima and ERNIE Image graduate from preview to managed install within the next 1–2 minor releases. Expect one more edit-capable model addition and continued inpaint/selection polish — the Feather+Blend reshuffle is not yet fully landed across all model paths.
Air pushes the DAM into Shopify, WordPress, and Chrome — and turns AI edits into reusable Skills.
Air is shipping in two clear directions at once. On the integration side, May brought a coordinated wave: Air for Shopify, Air for WordPress, and a Chrome extension for saving images straight into Canvases and Boards. On the AI Canvas side, Skills landed as a way to save any AI edit as a named, reusable workflow runnable across batches. Adjacent Canvas work — lighting changes, Edit Text via AWS Rekognition, perspective regeneration, Seedance 2.0 video — keeps filling out the generative toolbox.
Air is positioning itself as the brand-asset layer that lives wherever customers already publish — not a destination DAM you visit, but a Canvas you reach for from inside Shopify, WordPress, or a browser tab. The Skills release pushes Canvas from a per-image AI editor toward a workspace-wide automation surface, where edits are scripted once and reused at batch scale. The integration wave and the Skills launch are complementary: more surfaces to push Air-managed assets to, and more programmable ways to mass-produce them.
Expect the next quarter to bring more publishing-surface integrations — likely Webflow, Klaviyo, or a major social scheduler — and a programmatic Skills API so external systems can invoke saved workflows. Skills shareability across workspaces is the obvious second-order move.
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