Generate new visuals from an existing image. Use image-to-image AI to preserve a subject, change the style, rebuild scenes, and iterate faster.
Each example keeps a reusable prompt, settings direction, and business use case so you can judge whether this page matches your image task.
Use the reference image as structure, then generate a cleaner commercial variant.
Use the reference bottle as the main subject, preserve silhouette and label placement, create a premium studio variant with warm neutral background and realistic shadow.
Create style variants without losing the visual direction of the source image.
Create a new fashion editorial variant from this reference, keep pose and framing, add cinematic neon lighting, sharper styling, clean high-end magazine finish.
Use image-to-image when the first draft is close, but needs stronger layout and finish.
Create a more polished version of this campaign image, keep product mood and pink palette, improve composition, lighting, and title-safe negative space.
The use-case page explains the task first, then routes users to model detail pages and the real workspace without mixing model intent and task intent into one page.
GPT Image 2Best for image-to-image tasks that need stable reference following and subject preservation.View model guide
Nano Banana ProStrong for polished visual variants, campaign drafts, and premium style changes.View model guide
Qwen Image 2.0Useful when you need negative prompts and clean control over what changes.View model guideTemplates provide direction; the final model, aspect ratio, uploads, and output count are still confirmed inside the Kynvio workspace.
Use this for controlled visual variations from one uploaded image.
Create an image-to-image variation of this reference, preserve [subject/layout], change [style/scene], keep realistic details, balanced composition, no unwanted text.
Use this when one generated draft needs a more polished second pass.
Improve this draft while keeping the core idea, make the image more polished for [channel], refine lighting, background, and composition, keep the subject recognizable.
Keep exploring related tools for commercial images, ecommerce assets, and campaign visuals.
Use GPT Image 2 when the reference must stay accurate, Nano Banana Pro for polished variations, and Qwen Image 2.0 when you need stronger constraint control.
Image-to-image starts from an uploaded image or visual reference, so it is better for preserving subjects, layouts, and styles than text-only generation.
Yes. Describe what should remain stable, then ask for new lighting, background, style, crop, or product presentation.
Start image-to-image generation with a reference upload, then preserve the parts that matter while changing style, scene, or composition.
Start image to image
