If you make games, illustrate characters, or need forty consistent props in one visual language, Leonardo AI is built for your problem. Its interface assumes you are producing a body of work, not a single image to post.
This tutorial walks through the workflows that matter: structured generation with Lucid Origin, sketch-driven composition in Realtime Canvas, character consistency, and image-to-image refinement.
Key takeaways
- Leonardo's advantage is production: consistency, iteration and asset sets rather than single hero images.
- Realtime Canvas lets rough shapes control composition, which words alone cannot do precisely.
- Descriptive, orderly prompts work better here than loose poetic phrasing.
- For pure single-image aesthetic quality, Midjourney and FLUX.2 are frequently preferred.
- Credit systems and plan details change; check the current plan page rather than trusting older articles.
Where Leonardo is strongest
Leonardo's centre of gravity is the asset. Character turnarounds, item icons, environment concepts, tileable textures and prop sheets are the sort of work it is organised around.
The practical consequence is that its features favour repetition. Saving settings, reusing references and generating variations are all first-class actions rather than afterthoughts.
If your need is one striking editorial photograph, this is more machinery than the job requires. If your need is a coherent visual set, that machinery is exactly the point.
The Lucid Origin workflow
Lucid Origin suits structured briefs. Rather than a mood, give it a specification: what the object is, what material it is made of, what angle it is seen from, and what background it sits on.
Work in three passes. First establish the subject and silhouette. Second fix the material and lighting. Third refine detail and adjust for the format you need. Trying to achieve all three in one prompt usually produces a compromise on all three.
A weathered bronze lantern for a fantasy game, three-quarter view, chipped patina and soot marks around the glass, warm ember glow inside, neutral grey background, even studio lighting, consistent scale, clean silhouette, no ground shadow
"Clean silhouette" and "neutral grey background" make cut-out and integration far easier later.
Realtime Canvas: sketch to image
Realtime Canvas renders as you draw. You block in shapes, the image updates, and you steer composition with your hand rather than with adjectives. For anyone who can sketch even crudely, this is transformative.
The technique that works best is to draw large flat masses first — horizon, main figure, key object — and only then add detail. The model reads mass and position more reliably than fine line work.
Use it for layout decisions: where the subject sits, how much sky there is, whether the composition breathes. Then take the result into a normal generation pass to finish.
Follow the sketch composition exactly. A lone watchtower on the left third, wide valley receding to the right, low horizon. Overcast dusk light, muted blue-grey palette, painterly concept art, no additional structures.
"Follow the sketch composition exactly" is the instruction that keeps your layout intact.
Character design and consistency
Consistency is a discipline more than a feature. Write a canonical description of your character and never reword it. Age, build, hair, eye colour, distinguishing marks, wardrobe and palette should be stated identically every time.
Add a reference image once you have a face you like, and change only pose, expression, framing and setting. If you rewrite the description, expect the character to become a sibling rather than the same person.
Character sheet for an original character: a wiry courier in her late twenties, cropped dark hair, a scar through the left eyebrow, patched olive canvas jacket, worn leather satchel. Three views: front, side, three-quarter. Flat even lighting, neutral background, consistent proportions and colour across all three views.
Generate the sheet first, then use it as the reference for every scene image afterwards.
| Job | Workflow | Key setting |
|---|---|---|
| Item and prop icons | Structured generation | Neutral background, clean silhouette |
| Environment concept | Realtime Canvas then refine | Composition locked by sketch |
| Character turnaround | Reference-led generation | Fixed description plus reference image |
| Style exploration | Small batches | Change one descriptor per batch |
| Refining an existing image | Image to image | Low strength for subtle changes |
Game assets and concept art
For asset work, decide the visual rules before you generate: palette, line weight, lighting direction, level of detail and perspective. Write them into a short style block and paste it into every prompt.
Then generate in themed batches — all weapons together, all foliage together — because switching subject types between generations tends to introduce style drift.
Image-to-image is your correction tool. Take a result that is nearly right, feed it back at low strength, and adjust one property. High strength values discard too much of what you liked.
Prompting style that works here
Leonardo responds well to orderly description: subject, material, view, lighting, background, constraints. It responds less well to poetic phrasing that gives it no concrete anchors.
Keep prompts consistent across a set. Even changing the word order can shift results, which is unhelpful when the goal is a family of matching images.
Credits and limits
Leonardo uses a credit-based system, and different actions consume different amounts. Specific allowances change over time, so check the current plan page before committing. We do not quote figures here that would go stale.
An honest comparison
For pure single-image quality and aesthetic authority, Midjourney is often preferred, and FLUX.2 is frequently chosen for photorealism. Leonardo's models are capable, but we would not describe any of them as the category-leading image model overall.
What Leonardo offers instead is a production environment. If your work is measured in sets rather than in single images, that environment is worth more than a marginal quality difference on one render.
If you want a beginner-friendly free starting point instead, the Nano Banana 2 tutorial is the gentler entry, and the pillar guide puts both in context.
Frequently asked questions
What is Leonardo AI best used for?
Game assets, character design, concept art and production workflows where you need many consistent images rather than one hero picture. Realtime Canvas is its most distinctive feature.
Is Leonardo AI better than Midjourney?
Neither is automatically better. Midjourney is often preferred for aesthetic direction and stylisation; Leonardo is built for asset production, character work and canvas-driven iteration.
What is Realtime Canvas?
A sketch-to-image workspace that renders a result as you draw. Rough shapes control composition directly, which is faster and more precise than describing layout in words.
How do credits work in Leonardo AI?
Leonardo uses a credit-based system where different actions consume different amounts. Specific allowances and plan details change over time, so check the current plan page before subscribing.
How do I keep a character consistent across many images?
Write a fixed character description, reuse it word for word, use reference images where supported, and vary only pose, framing and setting between generations.
Return to the pillar guide for the full picture: how these systems work, how the model landscape fits together, and which tool suits which job.
Continue the series
The other chapters in the AI Image Generation guide.