Migrate from leonardo-ai to krea.
1 documentation-derived translation pattern — what carries over and what to watch for. Cited to the Feature Parity Map; the audit tells you whether the move is worth it.
A team standardizing on Leonardo.Ai can retire a standalone Krea seat and reproduce its core sketch-to-image workflow in Leonardo's Realtime Canvas, which likewise turns brushstrokes (and a text prompt via Realtime Gen) into live AI imagery for fast ideation. Recreate the loop by drawing on Leonardo's Realtime Canvas and tuning Creativity Strength, Guidance, and a Fixed Seed to mirror the controlled iteration Krea gives via its prompt box; when you land a composition, push it through Leonardo's Instant Refine (1024x1024, no token cost) or Universal Upscaler for a finished asset. The practical move is to treat Realtime Canvas as the ideation surface and Leonardo's text-to-image models as the render path, consolidating both the realtime exploration and the final generation onto the seat the team already pays for.
- Warning: Leonardo's Realtime Canvas tops out at 512x512 (640x640 on a premium High Quality toggle) and is labeled a legacy feature in current docs, whereas Krea's realtime tiers go up to 1024px Quality models and include webcam/screen-record/video-frame-consistency modes Leonardo does not match — verify your fidelity and input-mode needs survive the move.
- Warning: Krea aggregates 64+ models (Flux, Krea 2, etc.) selectable per generation; Leonardo's realtime path runs on its own Latent Consistency Models, so exact look/style from a specific Krea model will not carry over and must be re-dialed in Leonardo.
- Warning: Realtime Canvas and its Instant Refine step are token-free in Leonardo, but a full Universal Upscaler pass consumes tokens or API credits — budget for that finishing step rather than assuming Krea's compute-unit allowances translate one-for-one.