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🧵 Model Title: Gentleman's Vogue LoRA
🎩 Model Highlight: Diversified Masculinity Our latest LoRA not only excels in styling men's fashion but is also adept at generating a vast array of male faces and portraits. This makes it an ideal companion for fusion with other models where a male presence enriches the narrative or aesthetic.
🤵 Focus: Men's Suits Fashion / male portraits style transfer with other models.
FF Style: Esao Andrews (ESAO) Fusion
🧥 1st Release: Man_Men_FFashion CivitAI LoRA v1.0 👔
🚀 Training Platform: Civitai Trainer (Initial Version)
✨ Key Attributes:
Handsome Male Representation: 100%
Elegance & Style in Men's Attire: High priority
Attractive and Masculine Appeal: 87% - 55%
Suit Styles: From Intricate to Stylish and Luxurious
👤 Handsome Male: ██████████ 100%
👔 Handsome Man: █████████░ 91%
🌟 Attractive Man: ████████░ 87%
🎩 Handsome & Elegant: ████████ 80%
🌟 Attractive Male: ███████░ 76%
👔 Intricate Suit: ██████░░ 63%
💼 Handsome & Attractive: ██████░ 61%
👔 Stylish Suit: ██████░ 61%
💪 Masculine & Handsome: █████░░ 55%
👔 Wearing a Stylish Men's Suit: █████░ 51%
👔 Suit & Waistcoat: █████░ 49%
🕴️ Masculine Appeal High Fashion: █████░ 47%
👔 3 Piece Suit: █████░ 46%
🌟 Beautiful Man: █████░ 44%
👔 Wearing Fashion Suit: ████░ 41%
🌟 Beautiful Young Man: ████░ 38%
👔 Elegant Suit: ████░ 38%
🕴️ Lean Man with Light Tan Skin: ████░ 38%
👔 Luxurious Suit: ████░ 34%
🌟 Handsome Attractive Face: ████░ 33%
📈 Dataset Overview:
Total Images Processed: 588
Unique Visual Inputs: 588
Diversity & Quality: Curated for High Fashion Impact
⚙️ Technical Specifications:
Base Model: SDXL Base v1-0
Optimizer: Bitsandbytes AdamW8bit
Precision: BF16 Mixed
Training Duration: Epoch 10, 1500 steps
Learning Rate: Constant, with tailored adjustments for UNet and text encoder (available as meta in the first lora)
Proudly maintained by Source Code Bulgaria Ltd & Black Swan Technologies.
📧 For collaborations, inquiries, or support: [email protected]
🌍 Locations: Sofia | Istanbul | London
Connect with Us:
Our Websites:
1. สิทธิ์ของโมเดลที่โพสต์ซ้ำเป็นของผู้สร้างต้นฉบับ
2. ผู้สร้างต้นฉบับที่ต้องการรับรองโมเดล โปรดติดต่อเจ้าหน้าที่ SeaArt AI ผ่านช่องทางทางการ คลิกเพื่อรับรอง
