Bathany skin from Fortnite🧼
Suggested prompt:
BathanyFN, 3d,1girl, gloves, hat, solo, dark skin, black hair, under-eye patches, fingerless gloves, dark-skinned female, pink headwear, bandaid, pink coat, lips, head tilt, nose, beanie, standing, weapon
Recommended Settings
To get the most out of Version 2.0, I recommend the following configuration. This model has been tuned to be more responsive, so you may find you need less "prompt weight" than before.
Generation Parameters
LoRA Weight: 0.7 - 0.9 (Start at 0.7 for the best balance of style and flexibility).
Sampling Method: Euler a or DPM++ 2M Karras.
Sampling Steps: 25 - 35 steps.
CFG Scale: 5.0 - 7.5 (Lower CFG allows for more natural skin textures).
Prompting Tips
For Skin Detail: Use keywords like highly detailed skin, subtle skin texture, or realistic skin pores. Because of the upgrade, you don't need to "spam" these tags anymore.
For Poses: The model now understands spatial tags better. Try using from above, dynamic pose, kneeling, or perspective to test the new flexibility.
Negative Prompting: Keep it simple. Overloading the negative prompt can sometimes "flatten" the new skin details.
Recommended Negatives: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality.
Optimization Note
If you are using Illustrious XL, remember that this model responds very well to "Natural Language" mixed with tags. Instead of just sitting, try sitting on a wooden chair with legs crossed to see the improved understanding in action.
🚀 Update: Version 2.0 – Optimized Performance
This update focuses on a complete overhaul of the model's efficiency and output quality. I have refined the training process to ensure the LoRA is more versatile and easier to prompt.
✨ Key Improvements:
Enhanced Image Quality: Significant upgrade to overall fidelity. You will notice sharper lines, better lighting, and more cohesive compositions.
Advanced Skin & Texture: Improved skin rendering for more realistic textures.
Expanded Pose Support: The model is now much more flexible. It supports a wider variety of dynamic poses and camera angles without "breaking" the character or style.
Better Prompt Adherence: The LoRA now understands natural language and tags more effectively, making it easier to get the exact result you want with shorter prompts.
🛠 Technical Changes:
File Optimization: Reduced the model size for faster loading and better compatibility without sacrificing quality.
Dataset Refinement: Cleaned and re-captioned the training data to remove noise and improve the model's understanding of specific attributes.
Note: For best results, I recommend using a LoRA weight between 0.7 and 0.9.
