7 best AI style transfer tools (2026): photos & video
Quick Answer
Quick answer
AI style transfer changes the visual treatment of an image or video while trying to retain its subject, composition or motion. For an existing photo, start with Magic Hour's AI Image Editor. For a specific reference look, compare OpenArt; for new images that share a visual direction, use Adobe Firefly. For moving footage, compare Magic Hour Video-to-Video, Runway Aleph 2.0 and Luma Modify. Prisma suits preset photo effects, while NightCafe still offers traditional neural style transfer.
The key question is what must stay unchanged: the person, product, composition or movement. A tool that generates a beautiful new image may be the wrong choice when you need to preserve an exact original.
Best AI style transfer tools at a glance
Tool | Best fit | Starting material | Important distinction |
|---|---|---|---|
Prompt-based photo edits and video restyling | Your photo or video | Free image edits and first-frame video previews are different from full video renders | |
Applying a reference look to an existing photo | Photo plus style image or prompt | Its strength slider trades original detail for a stronger repaint | |
Generating new assets with a shared style | Text prompt plus style reference | Style Reference guides new images; it does not lock the original subject or composition | |
Choosing a ready-made artistic photo effect | Photo from your device | Preset selection, rather than a full video or production-editing workflow | |
Traditional neural style transfer and model exploration | Content and style images, depending on mode | Select Style Transfer specifically; text-to-image and prompt editing are separate modes | |
Restyling footage through an edited keyframe | Video, keyframe edit and instructions | Edit Studio is on paid plans; inspect the result across the entire shot | |
Restyling footage and directing changes with keyframes | Source video and supported reference or keyframe inputs | Modify Video V2 supports up to 20 seconds at 1080p; inspect source fidelity across the clip |
Magic Hour publishes this comparison and is included in it. We checked the linked official documentation on September 12, 2026. These are recommendations by supported workflow, not a controlled ranking of output quality. The cover is an illustration of style transfer, not a benchmark result.
Restyle your own image or video
Start with one source asset, describe the visual treatment, and compare the result with the original details you need to preserve.
Try AI Image EditorWhat is AI style transfer?
AI style transfer changes an image or video's visual treatment: color, texture, brushwork, lighting or overall aesthetic. Traditional neural style transfer combines a content image with a style image. Modern image editors can also restyle from written instructions, while video editors apply changes across moving frames.
Three workflows often appear under the same label:
- Restyle an existing image: change its appearance while trying to retain the subject and layout.
- Generate with a style reference: create new content that follows another image's aesthetic.
- Restyle existing video: transform footage while trying to preserve motion and continuity.
For example, “make this exact mug look hand-painted” is an editing job. “Create a kitchen illustration in this watercolor style” is reference-guided generation. Neither automatically proves the tool can restyle a ten-second video without flicker.
1. Magic Hour: a direct route from your photo or footage
Magic Hour's AI Image Editor accepts a photo and a written edit, including artistic restyling. The public browser tool offers three free edits daily without signup or watermarks. Start with one image and describe both the intended look and the details you want retained.
For footage, Video-to-Video accepts an upload or supported YouTube URL, a style and a prompt. Its no-signup offer is three first-frame image previews daily. Creating and downloading the complete restyled video requires an account and sufficient credits. A preview establishes the intended look, not motion quality.
Why choose it: you can try a photo treatment before moving into video or a larger project. The full image editor also supports multiple reference images; the available controls depend on the selected workflow.
Tradeoff: a generated edit can alter identity, lettering or product shape. Review those details before using the output. Paid subscriptions permit commercial use; free image outputs are for personal use. Creator is $19 monthly or $144 billed annually under the current plans.
2. OpenArt: a source photo plus a reference look
OpenArt's style-transfer tool starts with an existing image. You can upload a style reference or describe the aesthetic in words. Its documented strength control keeps more original detail at lower settings and repaints more aggressively at higher settings.
Why choose it: it gives you a direct way to compare how strongly the same reference should influence a source photo. This is useful when the look is easier to show than describe, such as paper texture, a limited palette or a particular illustration treatment.
Tradeoff: increasing the transformation may also change details you needed to preserve. Evaluate the actual download, and check the current account allowance and generation estimate before planning a batch. The “free” landing page does not establish an unlimited production quota.
3. Adobe Firefly: new images with a consistent visual direction
Firefly's Style Reference uses an uploaded or curated image to guide the look of generated images. It fits an editorial series, campaign concept or illustration set whose assets should share a visual treatment.
Why choose it: you can reuse a visual reference while changing the subject in your text prompt. Adobe's Generative Match guide also explains adjusting the reference's influence and refining the output.
Tradeoff: a style reference is not an identity lock or an instruction to preserve an exact product photograph. Composition reference and image editing are separate controls/workflows. If the task is to keep a particular face, logo or object unchanged, start from an editing workflow and review the result against the source.
Adobe offers free account access with generation limits. Confirm the selected model and current plan: the features of Adobe's own Firefly models are not automatically identical to every partner model available inside the app.
4. Prisma: ready-made artistic photo effects
Prisma is a mobile photo app with hundreds of art and portrait styles. It is a practical option when you prefer selecting an effect over writing a detailed prompt or managing references.
Why choose it: a portrait, pet photo or travel picture can be the starting point for exploring an illustrated look. Compare several presets on the same source before committing to one.
Tradeoff: do not assume that a photo effect also supports video restyling, layered handoff or a custom reference workflow. Check the current in-app purchase, output size and download terms for your device. Subscription offers can differ by platform and region, so a single universal monthly price would be misleading.
5. NightCafe: traditional style transfer alongside newer editors
NightCafe's current model guide confirms that its original Style Transfer algorithm remains available alongside text-to-image and image-editing models. These are different tools within the same service.
Why choose it: select the traditional mode when you specifically want to combine an existing content image with a style image. Choose an editing model instead when your instruction involves replacing an object, changing a background or combining reference subjects.
Tradeoff: NightCafe's free base generations on certain text-to-image models do not mean every editor, video model or resolution is free. Its guide says cost varies with the model, image count, references and output settings. Check the selected mode's credit estimate, rather than transferring a price from another model.
6. Runway Aleph 2.0: restyle a video through a keyframe edit
Runway Aleph 2.0 is an in-context video editor. Its workflow applies an edited frame's changes across the video. Runway documents restyling alongside relighting, background replacement and wardrobe changes.
Why choose it: it fits a shot where you want to establish a specific visual change on a keyframe before propagating it. Instructions can focus on one operation, such as changing the material treatment while keeping the existing action.
Tradeoff: Edit Studio and Aleph 2.0 require a paid plan. Confirm the current clip allowance and credit estimate before importing a larger sequence. A polished edited keyframe is still insufficient evidence that the whole output preserves faces, moving objects and scene continuity.
7. Luma Modify: control how closely the result follows footage
Luma Ray3.2 includes Modify Video V2 for transforming existing footage, with documented support for clips up to twenty seconds at 1080p. Its Multi-Keyframe workflow accepts up to sixteen keyframes for directing changes within a shot.
Why choose it: Luma documents style, character, environment and lighting transformations, as well as motion and camera transfer. It is worth evaluating when you need to change a clip's visual treatment while retaining the performance or camera direction.
Tradeoff: inspect the full output for identity, shape and motion changes; a supported operation is not a guarantee that every frame is preserved. Current pricing depends on the operation and output format, with additional credit charges for HDR and EXR. Older Ray-model controls and API limits should not be assumed to describe Ray3.2.
Three style-transfer briefs you can try
The following are original example instructions, not claims of tested results. Use images and footage you have permission to edit.
Portrait: watercolor without changing the person
Restyle this portrait as a soft watercolor on textured paper. Keep the same person, facial proportions, expression, hairstyle, clothing and camera angle. Use muted blue and warm cream. Do not add objects or text.
Compare the eyes, mouth shape and silhouette with the source. If identity drifts, reduce transformation strength where available or ask for a narrower change, such as paper texture and a softer palette. Adding more unrelated style words can make the brief harder to satisfy.
Product photo: a new setting with the original product
Prompt: Give the background a warm, hand-painted editorial look. Keep the mug itself unchanged, including its handle, rim, color, printed logo and position. Preserve a natural contact shadow. Do not invent text or accessories.
Inspect the handle opening, label spelling and proportions at full size. If the product must remain pixel-identical, preserve it as a separate layer and edit the background; a generative instruction alone does not guarantee that protection. Our background-remover comparison covers that alternative workflow.
Short video: clay texture while retaining the action
Prompt: Restyle this shot as a handmade clay animation. Keep the person's walking direction, timing, framing and camera movement. Use matte surfaces and soft studio lighting. Do not introduce cuts or new objects.
Try a short representative segment first. Watch the feet contacting the ground, hands, face and background edges throughout playback. If they change shape or flicker, simplify the treatment or use a less aggressive setting. Do not approve a moving result from a single thumbnail.
Compare the cost of usable results
A subscription price is only part of the cost. Credit rates, retries, resolution and review time all matter.
Example job | Generation budget to consider | Acceptance requirement |
|---|---|---|
Ten restyled portraits, three candidates each | Thirty image generations | Same person and intended look across the set |
Six product images, two candidates each | Twelve generations, plus any background preparation | Accurate labels, geometry and consistent crop |
Three five-second shots, three candidates each | Forty-five generated seconds, or the selected tool's equivalent frame-based charge | Stable motion and no distracting frame-to-frame changes |
These are planning assumptions, not measured success rates. Cost per accepted asset = total generation spend divided by the number of outputs you actually approve. Track review time separately. Credits from two vendors are different units, so compare the checkout cost for the same job rather than the raw credit number.
Frequently asked questions
For an existing photo, try Magic Hour's AI Image Editor: three daily guest edits, no signup and no watermark. For newly generated images guided by a style reference, Firefly has free account access with limits. Check commercial-use terms separately from whether a download is free.
Yes, but use a video-editing or video-to-video workflow that supports the intended reference or keyframe input. Independently restyling every frame does not guarantee temporal consistency. Check a short moving segment before processing the full clip; our video-to-video guide explains the broader selection.
Start with the original image or clip, name the details to preserve, and use lower transformation strength when available. For exact logos and product pixels, keep an untouched layer or composite the original back into the result. Review the actual file at delivery size; no prompt guarantees exact preservation.
Yes. The official PyTorch neural style tutorial shows a content-image and style-image implementation. It is a coding workflow that requires setup and compute, rather than a hosted one-click editor. Check the licenses of any additional models or assets you introduce.
Save the source, reference and exact instructions so you can repeat the treatment. For a still image, finish any necessary cleanup before using Image-to-Video to animate it. For existing footage, continue in Video-to-Video and check the entire exported clip before sharing it.
Runbo Li is the Co-founder and CEO of Magic Hour, where he builds AI video and image tools for content creation. He is a Y Combinator W24 founder and former Data Scientist at Meta, where he worked on 0-1 consumer social products in New Product Experimentation. He writes about AI video generation, AI image creation, creative workflows, and creator tools.
