Move your team from Leonardo AI to Playground.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Playground — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in Leonardo AI is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Both tools are multi-model, prompt-driven image generators, so the core workflow transfers directly: rewrite the Playground prompt and pick a comparable Leonardo model. Where you relied on GPT Image 2 in Playground for typography-heavy posters, choose a Leonardo model with strong prompt adherence (e.g. Phoenix, or third-party FLUX/Ideogram available in Leonardo) and use Leonardo's prompt-enhancement option. Re-create any saved designs as fresh generations; there is no design-file import between the two. Move recurring asset jobs onto Leonardo's API once volume justifies it, since Leonardo exposes a production REST API on its higher tiers.
- Warning: Leonardo meters generation with a daily/monthly token system (tokens deducted by compute cost) rather than Playground's per-3-hour image cap plus monthly model credits, so estimate usage in tokens, not image counts.
- Warning: Playground is framed as a design studio with templates and a built-in design editor for finished assets (logos, t-shirts, social graphics); Leonardo is generation-and-canvas-first and does not ship Playground's design-template library, so template-driven workflows must be rebuilt as prompts or done elsewhere.
- Warning: Model line-ups only partly overlap — Playground leans on GPT Image 2 and Nano Banana Pro (and also offers Seedream), while Leonardo centers on its own Phoenix 0.9/1.0 models plus third-party integrations (FLUX, Ideogram, Seedream), so default model choices and identical prompts will not produce identical output.