Suggested Trigger Words:

A trigger word activates your LoRA’s effect during generation. You can use a mix of general and unique keywords:

• General: "flux_3d_render", "cyber_3d_glow", "detailed_skirt_flux"
• More Specific: "flux_fashion_3d", "cyberillustrious_glow", "flux_cyberpunk_clothing"
• Extra Keywords (to enhance the effect): "glowing accents", "detailed fabric", "neon lighting", "realistic anime 3D shading"

3. Minimum Training Parameters for Best Results:

If you trained using Flux, here’s a recommended baseline for LoRA training parameters:

Dataset & Preprocessing:

• Image Size: 1024x1024 (higher for better detail, but depends on VRAM)
• Dataset Type: Anime 3D render, cyberpunk, fashion-focused images
• Training Images: 100–300 high-quality images (with variation in poses, skirts, glowing effects, etc.)
• Captioning: Use "detailed_skirt", "glowing_effects", "cyberpunk_fashion", etc., in metadata

Training Settings:

• Network Rank: 32–?? (higher values improve detail, but require more VRAM)
• Alpha: 16 (for good generalization without overfitting)
• Batch Size: 4–8
• Epochs: 5–10 (or monitor loss for best stopping point)
• Learning Rate: 1e-4 (fine-tune based on loss function)

Extra Tweaks for Cyberpunk/Glowing Effects:

• Use ControlNet (Canny/Depth) for sharper details in skirts & outfits
• Include high-exposure images for better glow mapping
• Add variations in pose, clothing patterns, and lighting for better generalization