# IDK Aquatic Nature Background V2## AboutLoRA focused on the 'Aquatic Nature Background' concept for Illustrious-based SDXL models. It strengthens generation of underwater. Trained on a curated, normalized dataset with per-image loss curriculum.PT-BR: LoRA focada no conceito 'Aquatic Nature Background' para modelos SDXL baseados em Illustrious. Reforca a geracao de underwater. Treinada em dataset curado e normalizado com curriculo por loss por imagem.## Trigger words### Primary triggers```underwater```### Supporting tagsFrequent thematic tags from the training set - combine them with the primary triggers to steer the concept:```bubble, air bubble, long hair, short hair, fish, blue eyes, barefoot, water, black hair, blue hair, twintails, nude, swimming, swimsuit```## Example prompts```masterpiece, best quality, absurdres, beautiful woman standing in serene underwater coral reef, wearing flowing white dress, gentle sunlight rays, peaceful expression, &lt;lora:IDK_aquatic-nature-background_V2:0.9&gt;``````masterpiece, best quality, absurdres, beautiful woman floating in mystical bioluminescent ocean cave, completely nude with water droplets on skin, dramatic volumetric god rays, seductive gaze, &lt;lora:IDK_aquatic-nature-background_V2:0.9&gt;```## Preview generation settings| Setting | Value || --- | --- || Checkpoint | <code>IDN_Illustrious_V10_T</code> || Size | 1280x720 + hires 1.5x <code>RealESRGAN 4x+</code>) = 1920x1080 || Sampler | Euler a || Steps | 28 (+14 hires) || CFG scale | 5.5 || Denoising strength | 0.4 || Seeds | 1000-1009 |Negative prompt: <code>worst quality, low quality, bad anatomy, bad hands, extra digits, fewer digits, missing fingers, jpeg artifacts, signature, watermark, username, blurry, lowres, bad proportions, deformed, mutated</code>## Recommended weightUse 0.8-1.1. This file is a V1+V2 merge (rank concatenation), which slightly dilutes each source - it tolerates and often benefits from weights a bit above 1.0.## Training details- Base model: <code>IDN_Illustrious_V10_T</code>- Images: 61 (approved: 59)- Resolution: 512px- Network rank: 32 (alpha 32)- Loss threshold: 0.0523 (auto)- Passes: up to 10 (255 steps, stop: max_passes)- Method: curriculum requeue by per-image loss + dataset normalized to 262k px via RealESRGAN## Changelog V2- New multi-source dataset (JoyTag captioning for photos, full captions).- Upscaled without cropping (dataset normalized via RealESRGAN).- Trained on IDN_Illustrious_V10_T with loss-based curriculum requeue.- Merged with the V1 LoRA (rank concatenation) to keep V1 behavior.File: <code>IDK_aquatic-nature-background_V2.safetensors</code>

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