Krita AI Diffusion vs Jitter
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.
Jitter AI lets users describe the creative tool they want — and Jitter builds it inside the editor.
Jitter is in an aggressive shipping cadence focused on what's possible on the canvas itself. May brought two flagship additions: a fully animatable Glass effect with refraction, depth, dispersion, and frost, and Jitter AI — a system where users describe the effect they want and Jitter generates a reusable custom tool right inside the Animate tab. Underneath, the editor is being hardened with batch export, an upgraded pen tool for compound paths, displacement shaders, and corner-radius granularity.
Jitter is moving from 'better motion design tool' to 'AI-extensible motion platform.' The Jitter AI release is the clearest signal of intent — instead of competing on how many built-in effects ship, Jitter is letting users (and teams) generate, refine, and share their own tools by prompt. The rest of the recent work fills in the underlying primitives (shaders, compound paths, granular shape controls) that AI-generated tools need to build on. The product is positioning itself between Figma-style design fidelity and After Effects-style motion fidelity, with AI as the wedge.
Expect Jitter AI to evolve into a marketplace or team library where prompt-generated tools are versioned and shared, plus deeper Figma-import fidelity (the Figma-import polish suggests Jitter sees Figma as the upstream source rather than a competitor). A web-export pipeline for AI-generated effects to ship as Lottie or WebGL components is the obvious next step.
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