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Makeup Transfer
Makeup Transfer
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FLUX-Makeup

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

Method

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.

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.

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

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 Capabilities

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

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

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

Pricing
AI Makeup Pricing
¥10 / 1M tokens
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