Leonardo AI is a full creative platform for image generation, video generation, prompt-based editing, Canvas tools, Realtime Canvas, upscaling, enhancement, model selection, and custom training. That makes it more useful for end-to-end visual workflows than for one isolated prompt test. The strongest way to review Leonardo is to show how each major feature actually gets used.

Those examples show why Leonardo is easier to think of as a creative workflow platform than a single generator. The real value is not just making one image. It is being able to move from generation to editing, enhancement, sketch-based ideation, video, and custom training inside the same system.

This is a good starting prompt because it checks whether Leonardo can create a clean, high-end commercial image without needing extra editing first. It is also more useful than a random fantasy prompt because it looks like something a real brand might actually use.

This is much clearer as an image-to-image workflow when the upload step is stated directly. It is a practical prompt because it tests whether Leonardo can restyle an existing image instead of only generating from scratch.

This is a strong video test because it is grounded, visual, and motion-based without being overloaded. It checks whether Leonardo can create a simple but polished motion scene from text alone.

This works better when the reader knows they need a starting image first. It is one of the more useful Leonardo prompts because it tests a real commercial workflow: turning a still product image into a short ad-style video.

This is a strong Canvas prompt because it focuses on targeted editing. It tells the reader exactly what kind of base image they need before the prompt will make sense.

This is another useful edit prompt because hand repair is a real issue in image workflows. It is clearer now because the user knows they need an existing portrait first.

This is one of the better Leonardo-specific workflows because Realtime Canvas is meant for sketch-to-image ideation. Separating the sketch step from the prompt makes the process easier to understand.

This shows that Realtime Canvas is not only for character work. It can also be used for product direction and concept development.

This is clearer because it tells the user exactly what file they need first. Upscaling prompts work better when the input asset is stated directly.

This is another practical upscale example because it matches the kind of real use Leonardo is suited for: cleaning up product images for better final presentation.

This needed clarification the most. Without the upload step, the prompt sounds abstract. With the setup included, it reads like a real custom training workflow.

This kind of prompt is useful for exploration workflows where the goal is volume and direction-finding rather than one exact final output.

• Image generation for commercial and creative work: Strong for product shots, editorial images, concept art, and branded visuals.
• Prompt-based image editing: Useful when you need to replace, refine, or correct parts of an existing image instead of starting over.
• Sketch-to-image ideation: Realtime Canvas is especially useful for fashion, concept art, and product direction.
• Short video generation from text or stills: Useful for simple storytelling, motion content, and product videos.
• Upscaling and delivery prep: Good for improving image quality for print, web, and advertising.
• Custom branded workflows: Training and custom elements matter when consistency is more important than one-off experimentation.

• Use the Image Generator for first-pass creation, then move to Canvas Editor when the image is mostly right but needs specific corrections.
• For prompts that refer to a photo, portrait, product image, or poster, make the setup step explicit so the user knows they need to upload a file first.
• Use Realtime Canvas when you want to discover a direction from a rough sketch instead of writing everything from text alone.
• Use Universal Upscaler at the end of the workflow when the composition is already good and the main need is better detail, clarity, or larger output.
• If you need consistent branded results, use custom training instead of depending only on prompt wording.

Leonardo is broad, which is both a strength and a trade-off. Because it includes many tools and workflows, the results depend a lot on choosing the right feature for the job. It is less useful to think of it as one model with one behavior and more useful to think of it as a workspace where generation, editing, sketching, motion, and upscaling each solve a different problem.