How to Use Krea AI for Real-Time Image Generation
Most AI image generators are one-way: you write a prompt, wait a few seconds, look at the result. Krea AI works differently. Its real-time canvas generates continuously as you draw or adjust, so you're steering the output rather than waiting to evaluate a finished result. The feedback loop is tight enough that it changes how you think about the generation process.
This is genuinely useful for a specific kind of work: ideation, composition exploration, finding a direction you didn't know you were looking for. It's less suited for highly precise final production output, but as a creative discovery tool it's unlike anything else in the current AI image category.
What the Realtime Canvas Actually Does
The Realtime Canvas in Krea is a drawing surface where anything you place (sketches, shapes, text, uploaded images) continuously drives an AI generation that updates in near-real time. The model is constantly reinterpreting the canvas and generating what it thinks you're describing, based on both what you've drawn and the text prompt you've set.
The generation updates every time you:
- Add a stroke to the canvas
- Upload or move a reference image
- Change the text prompt
- Adjust the Influence slider
The Influence slider is the main control that determines how closely the AI follows what's on the canvas versus how freely it interprets the prompt. At low influence (20-30%), the generation is more creatively loose. At high influence (70-90%), the AI tries to match your canvas content tightly. The right setting depends on what you've drawn: a rough blob sketch benefits from lower influence to let the AI fill in intent, while a more detailed composition sketch benefits from higher influence so the AI doesn't reinterpret your deliberate shapes.
Setting Up a Realtime Canvas Session
When you open a new Realtime Canvas in Krea:
- Set your text prompt first. This acts as the context for everything on the canvas. Example: "a cozy coffee shop interior, warm lighting, illustrated style"
- Choose your output style from the model selector. Krea offers options including photorealistic, illustrated, anime, and various artistic styles. The style selector determines the aesthetic language the model uses to interpret your canvas
- Set the canvas resolution. 512x512 is the default and fastest. Use 768x768 when you need more detail in the output for evaluation
- Adjust Influence to match how detailed your planned sketch will be
For pure ideation sessions where you're exploring visual directions, start with a simple text prompt and a low Influence (30%). Then begin sketching loose compositions and see how the AI interprets them. Don't over-plan the sketch.
Steering Output With Basic Shapes and Color
You don't need drawing skill for the Realtime Canvas to be useful. The model is excellent at interpreting rough shapes and blobs as intent. A few practical techniques:
Silhouette sketching: Draw the rough outline or silhouette of what you want to appear in the image. A rough oval at the top with a larger rectangle below reads as a person. A triangle in the distance reads as a mountain. The model fills in the visual interpretation based on the combination of shape and prompt.
Color blocking: Use the color tools to fill regions of the canvas with approximate colors you want in the final image. A large light blue area at the top, darker ground below, some green shapes in between: the model reads this as sky/ground/trees much more reliably than trying to describe the color placement in text.
Position markers: Sometimes you just want to communicate "put something here." Place a colored dot or small shape where you want the focal element. Combined with your prompt, the model usually places the main subject at that location.
The trick is to think in intent signals rather than detailed drawings. You're communicating structure and placement, not drawing the image itself.
Using Reference Images on the Canvas
You can drag any image directly onto the Realtime Canvas to use it as a reference. This is one of Krea's most practical features for creative direction work.
When you place a reference image on the canvas, the AI incorporates its visual content into the generation. A few ways this is useful:
Style reference: Drop an image that represents the visual style you want. This could be a painting, a photograph, a screenshot of another AI generation. The model absorbs the color palette, lighting quality, and aesthetic from the reference and applies it to your prompt.
Composition reference: Place a reference that has the spatial layout you want and sketch or annotate over it. The model uses the reference composition and your additions together.
Element reference: Place a reference image of a specific object you want to appear in the scene. Position it on the canvas where you want that element to appear in the final image.
You can place multiple references simultaneously. The model averages their influence with your sketch and the text prompt. Keep it to two or three references at most; more than that tends to produce visually confused output.
The Enhance and Upscale Workflow
Realtime Canvas output is generated at relatively low resolution for speed. The output you get during a live session is meant to communicate direction, not serve as a final image. Krea's Enhance and Upscale tools are how you take a promising canvas result and turn it into something usable.
Enhance: Takes a selected canvas output and runs a detail-enhancement pass on it. The enhancement adds texture, sharpens edges, and fills in detail that the fast realtime generation left soft. Use Enhance when you have a composition you like and want to see what it looks like at higher quality before committing to a full upscale.
Upscale: Takes a selected image and generates a high-resolution version (up to 4x the canvas resolution). This is the final step in the workflow: Realtime Canvas for discovery, Enhance for evaluation, Upscale for production-quality output.
The Upscale in Krea adds detail intelligently rather than just bicubic-scaling the pixels. Areas of texture (fabric, foliage, stone) get new detail generated into them. This can sometimes change the image slightly from the original; run the upscale on your best candidate rather than treating it as a deterministic zoom.
Practical Applications for Designers and Creatives
The workflow that makes Krea most valuable in a professional context:
Concept pitch thumbnails: Use the Realtime Canvas to quickly sketch three or four different compositional directions for a project. Export the enhanced versions to show a client or art director what directions you're considering before committing to detailed execution.
Color palette exploration: Block in rough shapes and test how different color combinations feel as a composition. The instant feedback lets you cover much more ground than generating and re-prompting in a traditional AI image tool.
Background and environment ideation: For illustration or game development projects where you need multiple environment concepts, sketch loose spatial layouts and iterate until you find the atmosphere and structure you want.
Where the Realtime Canvas is less useful: highly precise product shots, images requiring specific text, work where you already know exactly what you want and just need clean execution. For those cases, a traditional prompt-and-refine workflow in Flux or Midjourney is more efficient.
Settings That Matter for Different Use Cases
A quick reference for configuring the canvas based on what you're doing:
| Use case | Influence | Model style | Canvas size |
|---|---|---|---|
| Pure ideation, loose sketching | 25-35% | Illustrated or artistic | 512x512 |
| Composition planning with references | 50-65% | Photorealistic or illustrated | 512x512 |
| Tighter sketch to image | 70-85% | Match your target style | 768x768 |
| Final enhance before upscale | Applied after canvas | Same as canvas session | 768x768 |
The model style selection is worth experimenting with. Some aesthetic directions that feel narrow as text prompt descriptions become clear when you switch model styles. A sketch that isn't resolving well as "photorealistic" might produce a much clearer result in an "illustrated" style setting.
Krea's Realtime Canvas won't replace tools built for precise, prompt-driven generation. What it does well is shorten the distance between an idea and a visual form you can evaluate and discuss. For the exploration phase of any visual project, the continuous feedback loop is a genuinely different experience from the generate-wait-evaluate cycle, and it opens up directions you might not have thought to prompt for.