Krita AI Diffusion vs Simplebooklet
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.
Rebuilt rendering, an Agent framework — Simplebooklet is becoming a collateral platform.
Simplebooklet has spent the last nine months pivoting from a flipbook viewer toward an AI-augmented collateral platform. The May 2026 release rebuilt the rendering engine on true HTML/CSS — text is now searchable, indexable, and crisp at any DPI — while sharpening three of the named Agents introduced in March. Enterprise plumbing (SAML SSO, milestone notifications, print-savings reports) and free-tier expansion have landed in parallel, broadening both ends of the customer base.
The product is moving on two coordinated tracks: a roster of dispatchable AI Agents (Summary, TOC, Accessibility, Translation, with 'dozens more' promised) and a re-engineered web foundation that makes the content those agents produce actually discoverable and accessible. Engagement reporting is being reframed in real-world terms (print-cost savings, open milestones) rather than raw counts. Together these moves recast Simplebooklet from a viewer for static collateral to a system for generating, distributing, and measuring it.
Expect new named agents over the next two quarters — Simplebooklet has explicitly committed to 'dozens,' so further releases likely add agents for distribution, lead qualification, or analytics. Plan tiers will probably re-segment around which agents each plan unlocks, building on the existing Basic/Pro/Business agent ladder.
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