Krita AI Diffusion vs Jitter
Side-by-side trajectory, velocity, and editorial themes.
Krita's AI plugin stays first to support every new open image model, from Flux 2 to Anima.
Krita AI Diffusion is a mature, fast-moving ComfyUI-backed plugin shipping near-monthly. Each release pairs support for the latest open diffusion models with steady refinement of the inpaint/selection pipeline and cross-platform install handling across CUDA, ROCm, and macOS.
Across these releases the plugin absorbed Flux 2, Z-Image, Qwen, ERNIE, and Anima, wiring each into Krita's selection, control-layer, and custom-workflow machinery. The direction is clear: be the fastest on-ramp for new diffusion models inside a real painting app, while smoothing the rough edges of local install and editing.
Anima is still in training and preview; expect it to graduate to official support with the full set of control modes, and for the project to keep absorbing new open models as they land. The just-added ROCm path suggests further AMD/hardware-support polish ahead.
Jitter pairs a deepening motion-design toolset with prompt-built custom effects.
Jitter is building out a credible motion-design platform: reusable components, a glass effect, displacement shaders, an improved pen tool for compound shapes, and quality-of-life work on the timeline and inspector. Alongside the manual toolset, it launched Jitter AI, which generates custom animation effects from a prompt rather than offering a fixed menu of presets. The product reads as a Figma-style design tool that has decided animation and AI are its differentiators.
Two tracks are advancing in parallel. The manual track keeps closing gaps against established design tools — components, shape tooling, export options — while the AI track bets that users would rather describe an effect than hunt for it. Components are explicitly framed as a first step toward workspace-wide reuse, suggesting Jitter is thinking about teams and brand consistency, not just individual creators.
Workspace-level components are openly teased as next, and the AI effect generator is likely to expand — more prompt-driven tools that can be saved, refined and shared across a team.
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