Trigger Word: <code>south-indian-beauty</code>Ecosystem: ERNIE (Enhanced Representation through Knowledge Integration)Training Engine: AI-ToolkitDataset: 85 High-Resolution Onsite GenerationsRank / Alpha: 32 / 16Repeats: 22Total Steps: 3,117LR Scheduler: Cosine with RestartsNoise Offset: 0.1Text Encoder LR: 0.00005Unet LR: 0.0005Epochs: 10Resolution: 1024Min SNR Gamma: 5Optimizer: AdamW 8-bitSample prompts:<code>south-indian-beauty, sophisticated mature woman, wearing a traditional heavy silk Kanchipuram saree with metallic zari, standing in a historic temple hallway, flickering oil lamps creating dramatic shadows, deep brown eyes, intricate antique gold temple jewelry, 85mm f/1.8, hyper-realistic</code><code>south-indian-beauty, stunning mature woman with an elegant aura, wearing a tailored navy blazer over a crisp floral saree, standing in a contemporary glass-walled gallery, soft afternoon lighting, sharp focus on expressive brown eyes, realistic skin maturity, vogue editorial style.</code><code>south-indian-beauty, beautiful mature woman, looking out at a rainy garden through a window, soft natural morning light, wearing a simple hand-loomed cotton kurta, salt-and-pepper hair in a loose bun, focus on realistic skin pores and warm amber depth in her eyes, peaceful atmosphere, cinematic photography.</code>

South Indian Girl - ERNIE

Update: This version utilizes the same high-quality dataset as the previous iteration but features optimized training parameters to improve generalization. By reducing the Epochs to 10 and the total Steps to 2,125, this version aims to strike a better balance between subject accuracy and prompt flexibility, reducing the "fried" or over-baked look common in higher-step LoRAs.

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