Selbiš¤ from Fortnite LoRA
Recommend use this tags:
SelbiFN, 3d, solo, 1girl, gloves, animal ears, raglan sleeves, pink hair, thigh strap, pants, brown eyes, shirt, t-shirt, socks
Ā Recommended Settings
To get the most out of Version 1.0, 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.
Ā 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: 4 - 7 (Lower CFG allows for more natural skin textures).
Ā 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 , bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality.
Ā 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.
Description
š¤ Skin Spotlight: Selbi (Fortnite)
Bring the vibrant, tactical energy of Fortnite's Selbi to your generations! This LoRA captures her distinct "Street-Style Nature" aesthetic, focusing on her signature teal and orange color palette and her unique tactical gear.
Whether you're looking to recreate her exact in-game look or experiment with her design in new environments, this model is tuned for high flexibility and style retention.
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.

