Image to Image AI · 10 tools

Best Image to Image AI Tools (2026)

Compare image-to-image AI tools that turn a photo into new styles, art, and variations — from style transfer and sketch-to-render to img2img editing and restyling.

All Image to Image AI tools

Krea 2 Turbo - Generate 1024px text-to-image drafts in about two seconds with Krea 2 Turbo.DR 6
Krea 2 Turbo logo
Krea 2 Turbo
krea2turbo.pro

Krea 2 Turbo is a speed-tuned branch of the Krea 2 foundation model, specifically designed for rapid text-to-image generation. It utilizes an eight-step sampling process to deliver 1024px drafts in approximately two seconds, with 2K frames following shortly after. This rapid turnaround fundamentally transforms the workflow for AI image creation, enabling faster iteration and concept exploration. The AI image generator is built on a 12-billion-parameter diffusion transformer, trained from scratch for photographic behavior, ensuring natural depth and texture. It supports both text-to-image and image-to-image workflows, allowing users to start from a written brief or refine existing references. Krea 2 Turbo is particularly useful for creative professionals and teams who need to generate a high volume of concepts, create numerous ad variants, or maintain a consistent house style using LoRA sliders. By offering fast, high-quality drafts at a low iteration cost, Krea 2 Turbo empowers users to test multiple ideas without significant investment. Its open-weights model, available under a custom commercial license, provides flexibility for users to run it in a browser-based workspace or on their own hardware. This makes Krea 2 Turbo an infrastructure tool for visual content production, enabling efficient and scalable creative output.

What is image-to-image AI?

Image-to-image AI takes an existing picture as input and generates a new one from it, guided by a text prompt or a reference image. Unlike text-to-image, which starts from a blank canvas, it keeps the composition, pose, or structure of your source and changes style, detail, or content. Common jobs include style transfer, turning a sketch into a render, restyling a photo, and swapping or extending parts of an image.

What image-to-image AI can do

  • Keep source composition while restyling from a prompt
  • Style transfer between photos, art, and illustration
  • Turn sketches or line art into finished renders
  • Strength slider to control how much of the source changes
  • Inpainting and outpainting to edit or extend images
  • Structure control via ControlNet, depth, or pose

Who uses image-to-image AI

01

Style transfer and restyling

Repaint a photo in an art style while keeping its original layout and subject.

02

Concept art and design iteration

Turn rough sketches into polished renders and explore many variations quickly.

03

Photo editing and cleanup

Inpaint to remove objects, fix details, or extend a scene with outpainting.

04

Product and marketing visuals

Restage product shots and generate on-brand image variations at scale.

How does image-to-image AI work?

Most tools use a diffusion model that adds noise to your source image and then denoises it toward your prompt, so a low strength keeps more of the original and a high strength changes more. Add-ons like ControlNet, depth, or pose maps lock in structure such as edges or a subject's posture. Inpainting limits the change to a masked region, leaving the rest of the image untouched.

Image-to-image AI FAQs