[Rustler🐮(Fortnite)] - 🎨Illustrious XL/🦄Pony XL LoRA
This is a high-fidelity LoRA designed for Illustrious-XL/Pony XL It was trained on a curated synthetic dataset to ensure maximum flexibility and character consistency while maintaining the high-aesthetic standards of the base model.
Model Overview: The Rustler Aesthetic
This LoRA is designed to capture the specific "Rough Rider" set look. It excels at rendering her signature desert-ready gear:
The Outfit: Distressed denim jeans, a brown leather utility belt with pouches, and a cropped flannel or tactical shirt.
Key Accessories: Her iconic wide-brimmed cowboy hat and sturdy leather boots.
The Vibe: A blend of tactical survivor and classic Western outlaw.
🚀 Usage Recommendations
⚙️Base Model: 🎨Illustrious
Trigger Word:
RustlerFNLoRA Weight:
0.7 - 0.8(Start at0.7for maximum accuracy)CFG Scale:
5.0 - 7.0Clip Skip:
2Sampling Method:
Euler aorDPM++ 2M KarrasRecommend to use: Nova 3DCG XL, WAI-illustrious-SDXL
⚙️ Base Model: 🦄Pony XL
Trigger Word:
RustlerFNRecommended Weight:
0.8 - 0.9CFG Scale:
5.0 - 7.0Sampler:
DPM++ 2M Karras(25–30 steps)Recommend to use: WAI-ANI-PONYXL, WAI-SemiReal, BlenderMix
🛠️ Prompting Guide
This model is highly responsive to descriptive tags. For the best results, use a mix of the trigger word and specific outfit/pose descriptions.
Main Trigger:
RustlerFNCore Look:
blonde hair, green eyes, long hair, lipsSignature Outfit:
cowboy hat, plaid shirt, tied shirt, sleeves rolled up, midriff, navel, denim shorts, blue shorts, beltTactical Gear:
holster, gun, gloves, knee pads, elbow pads, thigh strap
Negative Tags:
low quality, blurry, deformed, text, watermark
📈 Technical Details
Dataset: Created using a high-quality synthetic workflow to generate diverse angles and lighting from a single reference source.
Training: Optimized using
bfloat16for precision and embedded with full metadata for easy tracking in your local UI.Train Model: WAI-illustrious-SDXL v.16/ WAI-ANI-PONYXL v.14
Version: 4.0/1.0 (Last Release)
🕒 Version History
Version 1.0 (Initial Release)
Focus: Establishing character consistency.
Note: Was 1st version of that lora (beta).
Version 2.0 (Dataset Expansion)
Focus: Flexibility and Pose Variety.
Details: Expanded the dataset with 20 additional synthetic images featuring different camera angles (overhead, ) and lighting conditions.
Improvements: Better Quality, More Poses
Version 3.0 (High-Precision Update)
Focus: Detail & Technical Optimization.
Improvements: Cleaner Visuals, Dynamic Poses, Better Accuracy, Faster Loading
Version 4.0 (Dataset Expansion + High-Precision Update)
Focus: Detail & Technical Optimization.
Improvements: Cleaner Visuals, Dynamic Poses, Better Accuracy, Faster Loading, less size
Version 1.0 (Pony)
Focus: Pony release
Note: 1st version of that lora (beta)
💬 Notes & Feedback
I am constantly refining the dataset generation process. If you enjoy the model, please post your generations and leave a review-it helps me understand how to improve future versions!
If you run into issues with character bleeding or specific clothing items, let me know in the discussion.
Description
Update: Version 3.0 – 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. Added support for finer details—freckles, pores, and subtle skin tones are now more responsive to prompting.
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 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.
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.

