Advanced Tutorial

LoRA Training Tutorial: Create Custom AI Models

Step-by-step guide to training custom LoRA models for personalized character and style generation on Fauxto Labs. Master FLUX LoRA training in 2 minutes.

December 3, 2025•20 min read

What You'll Learn

  • • What LoRA models are and why they're revolutionary
  • • How to prepare perfect training data
  • • Step-by-step FLUX LoRA training on Fauxto Labs
  • • Advanced techniques for better results
  • • Using your trained models for generation
  • • Troubleshooting common issues

What is LoRA Training?

LoRA (Low-Rank Adaptation) is a revolutionary technique that allows you to train custom AI models using just 5-50 images. Instead of training an entire model from scratch, LoRA creates a small "adapter" that teaches existing models like FLUX to recognize and generate specific people, characters, styles, or concepts.

Why LoRA is Game-Changing

Traditional Training

  • • Requires 1000+ images
  • • Takes hours or days
  • • Expensive GPU requirements
  • • Risk of overfitting

LoRA Training

  • • Only 5-50 images needed
  • • Completes in 2-10 minutes
  • • Affordable and accessible
  • • Excellent generalization

Step 1: Preparing Your Training Data

The quality of your training data determines the quality of your LoRA model. Here's how to prepare perfect training images:

Image Requirements

Quality

High resolution, well-lit, clear focus

Variety

Different angles, expressions, lighting

Consistency

Same person/style across all images

Optimal Image Collection:

  • For People: 15-25 images with varied expressions, angles, and lighting
  • For Styles: 20-40 images showcasing the artistic style consistently
  • For Objects: 10-20 images from different angles and contexts
  • Resolution: At least 512x512px, preferably 1024x1024px or higher

Step 2: Starting Your LoRA Training

Training Process on Fauxto Labs

  1. 1
    Navigate to LoRA Training: Go to your dashboard and click "LoRA Training" or visit /lora-training directly.
  2. 2
    Upload Your Images: Drag and drop your prepared training images. The system supports JPG, PNG, and WebP formats.
  3. 3
    Set Your Trigger Word: Choose a unique trigger word (e.g., "john_smith_person" or "my_art_style"). Avoid common words.
  4. 4
    Select Training Type: Choose "Subject" for people/objects or "Style" for artistic styles.
  5. 5
    Start Training: Click "Start Training" and wait 2-10 minutes for completion.

Step 3: Advanced Training Techniques

Optimizing Training Parameters

Training Steps

  • • 500-800 steps: For styles
  • • 800-1200 steps: For people
  • • 1200+ steps: For complex subjects

Learning Rate

  • • 1e-4: Default (recommended)
  • • 5e-5: For fine details
  • • 2e-4: For faster learning

Caption Writing Best Practices

Good captions help the model understand what it's learning. Here are examples:

Good Captions:

  • • "john_smith_person wearing a blue shirt, smiling, professional headshot"
  • • "john_smith_person in casual clothes, outdoor setting, natural lighting"
  • • "my_art_style, digital painting of a landscape, vibrant colors"

Avoid:

  • • Overly long descriptions
  • • Inconsistent trigger word usage
  • • Generic terms without your trigger word

Step 4: Using Your Trained LoRA

Once training is complete, you can use your LoRA model in the FLUX image generator:

Generation Tips

  1. 1. Include Your Trigger Word: Always include your trigger word in prompts
  2. 2. Start Simple: Test with basic prompts first
  3. 3. Experiment with Styles: Try different artistic styles and settings
  4. 4. Adjust LoRA Strength: Use 0.7-1.0 for strong resemblance, 0.3-0.6 for subtle influence

Example Prompts

Portrait Generation:

"john_smith_person, professional headshot, business attire, confident expression, studio lighting, high quality"

Creative Scenarios:

"john_smith_person as a superhero, dynamic pose, city background, dramatic lighting, cinematic"

Style Application:

"my_art_style, beautiful landscape, mountains and lake, vibrant sunset colors"

Troubleshooting Common Issues

Issue: Model doesn't look like the training subject

Solutions:

  • • Increase training steps (try 1200-1500)
  • • Use more varied training images
  • • Increase LoRA strength in generation (0.8-1.0)
  • • Check if trigger word is included in prompts

Issue: Overfitted/unrealistic results

Solutions:

  • • Reduce training steps (try 600-800)
  • • Lower LoRA strength (0.5-0.7)
  • • Add more variety to training data
  • • Use more diverse captions

Issue: Training failed or poor quality

Solutions:

  • • Check image resolution (minimum 512x512)
  • • Ensure consistent subject across images
  • • Verify trigger word is unique
  • • Try different training parameters

Advanced Use Cases

Business Applications

  • • Brand mascot generation
  • • Product placement in scenes
  • • Consistent character marketing
  • • Corporate headshot variations

Creative Projects

  • • Personal avatar creation
  • • Artistic style transfer
  • • Character design concepts
  • • Historical figure recreation

Best Practices Summary

Data Preparation

  • ✓ Use 15-25 high-quality images
  • ✓ Ensure variety in poses/angles
  • ✓ Maintain consistent subject
  • ✓ Good lighting and resolution

Training Setup

  • ✓ Choose unique trigger words
  • ✓ Write descriptive captions
  • ✓ Start with default settings
  • ✓ Monitor training progress

Ready to Train Your First LoRA?

Start creating personalized AI models with FLUX LoRA training on Fauxto Labs. Train custom characters, styles, and concepts in just minutes.

Start LoRA Training