Makeup Transfer AfterMakeup Transfer Before
BeforeAfter
AI Makeup Image Editing

Consistent Makeup Transfer

Upload a portrait and choose or upload a makeup reference. FLUX-Makeup transfers the look naturally and accurately while preserving your identity.

Try it now View API Documentation
Interactive Playground

Interactive Demo

Upload a portrait and try a new look.

Before After
Upload image Click or drag a photo here JPG, JPEG, PNG, BMP or WEBP. Up to 5 MB per image.

History

Invite friends

Invite a friend and get another try.

Loading…

AI watermark settings

Your images, your settings

Under applicable laws and regulations, the 360 AI Research platform must visibly label AI-generated content that could confuse or mislead the public. At your request, the platform may provide AI-generated content without this visible label. If you publish that content through an online platform, you must disclose that it is AI-generated and use the publishing platform’s labeling tools. You understand and agree that you are responsible for any consequences arising from a failure to label AI-generated content as required, including confusion or misidentification.

When enabled, AI images generated and saved with this account will no longer display the visible AI-generated watermark.

By enabling this option and selecting Save settings, you confirm that you understand and agree to the information above. You can change this setting at any time.

Settings are saved to your account
Application Scenarios

Use Cases

Makeup transfer for virtual try-ons, commerce, entertainment and digital avatars

Virtual Try-On

Try a trending makeup look on your own photo and see how it suits you.

Product Showcases

Showcase beauty products with a variety of makeup looks on models.

Content Creation

Create a variety of makeup visuals for short videos, blogs and beauty content.

Digital Avatars

Customize makeup for virtual presenters and digital avatars in less time.

Model Features

Model Capabilities

Designed for faithful makeup transfer, identity preservation and consistent results

01

Makeup Similarity

FLUX-Makeup captures the style of the reference makeup and transfers it naturally to the source portrait.

02

Identity Preservation

Decoupled feature injection helps preserve the identity of the person in the source portrait.

03

Consistent Results

FLUX-Makeup produces natural, consistent results across different poses, expressions and complex makeup styles.

Benchmark Results

Evaluation results

Evaluated on MT, Wild-MT and LADN benchmarks

FLUX-Makeup MT Benchmark

MT Benchmark

Quantitative evaluation on MT, Wild-MT and LADN shows leading or near-leading overall results in makeup similarity (CLIP-I), identity preservation (SSIM) and background preservation (L2-M).

FLUX-Makeup Wild-MT Benchmark

A Wide Range of Looks

Trained with over 50,000 high-quality paired samples from HQMT, FLUX-Makeup supports looks from subtle to bold.

Model Features

Method

Built on curated data, decoupled features and consistent makeup transfer

01

No Extra Face Control Module

FLUX-Makeup uses only a source portrait and a reference image for faithful, consistent makeup transfer, with no additional face control module.

02

Data Engine and HQMT Dataset

A scalable data pipeline with filtering and quality control produced HQMT, a dataset of over 50,000 high-quality paired makeup samples.

03

Decoupled Feature Injection

RefLoRAInjector uses two sets of low-rank projections to extract makeup features while preserving identity and background details.

Try FLUX-Makeup

Find your next look with AI makeup

Get started free