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@@ -16,6 +16,9 @@ We propose **FLUX-Makeup**, a high-fidelity, identityconsistent, and robust make
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- **Data Engine & HQMT Dataset:** We developed an extensible, filterable, and quality-controlled data generation pipeline, and curated a high-quality paired makeup dataset containing over 50,000 samples, named HQMT.
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- **Architecture: Decoupled Feature Injection:** Through RefLoRAInjector, we define two sets of low-rank projections to achieve precise extraction of makeup-related information while effectively preventing identity collapse and background distortion.
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## 🧩 Environment Setup
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- **Data Engine & HQMT Dataset:** We developed an extensible, filterable, and quality-controlled data generation pipeline, and curated a high-quality paired makeup dataset containing over 50,000 samples, named HQMT.
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- **Architecture: Decoupled Feature Injection:** Through RefLoRAInjector, we define two sets of low-rank projections to achieve precise extraction of makeup-related information while effectively preventing identity collapse and background distortion.
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## 💡 Github
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[FLUX-Makeup](https://github.com/360CVGroup/FLUX-Makeup)
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## 🧩 Environment Setup
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