1
Upload Original Image
Add the photo you want to transform. A clear source image helps preserve the subject, composition, structure, and important details while the style is transferred.
AI Image Style Transfer
Developer API: Integrate this feature into your app
View API DocsOriginal Image*
Upload Original Image
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Style Reference Image*
Upload Style Image
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Try Sample Images
Transfer Any Reference Style To Your Photo
Upload an original image and a style reference image, then let AI image style transfer recreate the reference look on your photo. The workflow is ideal for photo retouch, art direction tests, visual mood matching, social content, product mockups, and creative image editing.
How To Use AI Image Style Transfer
This photo retouch workflow uses two required images: one source photo and one reference style. The AI studies the reference color palette, texture, lighting, contrast, artistic treatment, and overall mood, then applies that style to the original image.
2
Upload Style Reference
Add a reference image that represents the target look, such as cinematic color grading, oil painting texture, anime tone, watercolor softness, editorial retouch, or vintage film mood.
3
Download Retouched Image
Generate and download a styled result that keeps the original image recognizable while adopting the visual language of the reference image.
Reference-Based Photo Retouch With AI
Two-image style transfer
Use one image as the content source and another image as the style guide. The AI image style transfer process is flexible enough for portraits, products, travel photos, artwork, and social visuals.
Photo retouch with visual direction
Instead of describing a look from scratch, upload a style reference and let the model match color, atmosphere, texture, contrast, lighting, and finishing details.
Preserve source composition
The prompt-free workflow focuses on style migration rather than object replacement. It is designed to keep the main subject and layout connected to the original photo.
Creative image editing workflow
Test multiple reference images to compare different art directions, brand moods, poster styles, photo retouch looks, and image style transfer outputs.
Photo Retouch API For AI Image Style Transfer
Build reference-based photo retouch and AI image style transfer into your product with a simple two-image workflow. Send one original image and one style reference image, then return a styled result for editing, preview, history, and download.
Two-image input:
Use image_url for the source image and style_url for the reference image, making the integration clear for image editors, SaaS tools, and creative workflows.
Reference-based retouch:
Transfer color mood, texture, lighting, contrast, artistic treatment, and visual atmosphere from the reference image to the original image.
Stable result output:
Receive the generated result from the standard image response path, so previews, history records, and downloads can follow the same product flow.
Flexible style use cases:
Support photo retouch, AI image style transfer, social content design, product visuals, poster concepts, brand mood tests, and creative image editing.
Developer-ready workflow:
The API is designed for predictable request fields, fast tool integration, and clean automation around uploaded images and generated result images.
Related AI Image Tools
AI Image Style Transfer FAQ
What is AI image style transfer?
AI image style transfer applies the visual style of one reference image to another original image. It can transfer color mood, lighting, texture, artistic treatment, and overall visual atmosphere.
Do I need to upload two images?
Yes. This product requires one original image and one style reference image. The API sends them as image_url and style_url.
Is this the same as photo retouch?
It is a reference-based photo retouch workflow. Instead of only enhancing sharpness or color, it retouches the image toward the style of your selected reference.
What styles work well?
Good references include cinematic photos, editorial retouch images, paintings, anime frames, vintage film looks, watercolor art, poster designs, and strong color grading examples.
Will it replace objects in my photo?
The goal is style transfer, not object replacement. The result should keep the original subject and composition while changing the visual style.