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:

• 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

• Network Rank: 32–64 (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)