Powered by GPT Image 2

Fixed 1-image output with optional quality, resolution, aspect ratio, and privacy controls.

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Powered by GPT Image 2

AIスタイル転送

Upload one image and apply a new artistic style while preserving the subject and composition.

Source Image(0/1)

Click to upload or drag one image here

JPG, JPEG, PNG, WebP • 最大 10MB

Optional. Leave it blank to use the tool default prompt.

出力サイズ(詳細設定)

自動設定では、選択した解像度とアスペクト比が使用されます。2K解像度でアスペクト比を自動に設定すると、画像は正方形になります。カスタムサイズを指定した場合、アスペクト比の設定は無視され、カスタムサイズが優先されます。

カスタムサイズには以下の条件があります:解像度は2Kまたは4K、サイズは16の倍数、各辺は最大3840ピクセル、総ピクセル数は655,360~8,294,400の範囲、アスペクト比は最大3:1。4Kの場合、いずれかの辺を3840ピクセルにする必要があります。

指定サイズ: auto

1Kでは、ピクセルサイズはプロバイダーによって決定されます。

必要クレジット数: 6

One image per generation. 6 クレジット

Illustration Style
Illustration Style
オリジナル
オリジナル

Transform a source image into a warm illustration while keeping the main scene structure recognizable.

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AIスタイル転送

Transform One Image into a New Visual Style

Style Transfer is designed for creators and teams who want a fast way to reimagine a source image without losing the subject. It uses GPT Image 2 with a focused tool prompt, optional user style direction, and advanced output controls when needed.

Style Transfer Examples

Compare source images with stylized outputs that preserve the main composition while changing the visual language.

Illustration Style
Illustration Style
オリジナル
オリジナル

Transform a source image into a warm illustration while keeping the main scene structure recognizable.

Poster Style
Poster Style
オリジナル
オリジナル

Apply a poster-like artistic treatment without losing the original scene structure and composition.

Product Illustration
Product Illustration
オリジナル
オリジナル

Convert product photography into a designed illustration with stronger color, shape, and decorative texture.

Why Use This Style Transfer Tool?

Style Without Losing Structure

The tool preserves subject identity, pose, composition, and core geometry while applying a new visual style.

Editable Style Direction

Use a short prompt to request watercolor, anime, oil painting, cinematic, editorial, poster, or brand-specific looks.

Controlled GPT Image 2 Workflow

The model is fixed to GPT Image 2 and wrapped with a tool prompt, keeping the UX simple while preserving advanced output controls.

How to Apply Style Transfer

ステップ 1

Upload one source image

Choose a photo, product image, character, scene, or graphic that should keep its main structure.

ステップ 2

Describe the target style

Write a concise style direction, or leave it blank to use the default polished artistic style.

ステップ 3

Generate and refine

Create one stylized output, download it, or continue editing it as the next source image.

Best Use Cases

Creator Visuals

Turn portraits, travel shots, and everyday images into social-ready stylized content.

Campaign Concepts

Explore ad, landing page, and poster art directions from one source image before production.

Design Exploration

Test illustration, editorial, cinematic, and brand-inspired treatments without rebuilding the image from scratch.

Output Count

1 image

Workflow

Image to image

モデル

GPT Image 2

Style Transfer FAQ

Does Style Transfer use GPT Image 2?

Yes. This tool uses GPT Image 2 with a server-side style transfer prompt. Users only provide the source image and optional style direction.

What happens if I leave the prompt empty?

The tool applies a default polished artistic style while preserving the source image structure and subject identity.

Can I request a specific art style?

Yes. You can describe styles such as watercolor, anime, cinematic poster, oil painting, editorial illustration, or a brand-inspired visual direction.

How many images are generated at once?

Style Transfer generates one output image per run. This keeps the workflow clear and credit usage predictable.

Can I change quality or resolution?

Yes. Open Advanced settings to adjust quality, resolution, aspect ratio, and privacy mode before generation.

Create a Styled Version Now

Upload one image, describe a style, and generate a polished visual variation powered by GPT Image 2.