SDXL LoRA Training Complete Tutorial

A professional guide to training custom LoRA models for Stable Diffusion XL — the next-generation model offering native 1024x1024 resolution, superior composition, and enhanced prompt understanding. Level up from SD1.5 to SDXL-quality outputs with this comprehensive training tutorial.

Product Type: Digital Tutorial (HTML + Markdown)

Why SDXL for Training?
- Native 1024x1024: 4x the resolution of SD1.5
- Superior composition: Better understanding of complex scenes
- Enhanced prompt adherence: More accurate interpretation of descriptions
- Dual text encoders: CLIP G and CLIP L for richer semantic understanding

Tutorial Structure (6 Chapters):

【Chapter 1: Environment & Hardware】
- GPU requirements: NVIDIA 12GB+ VRAM (24GB ideal)
- Kohya_ss GUI setup (latest version for SDXL support)
- Storage: 50GB+ NVMe SSD (SDXL base model is ~6.5GB)

【Chapter 2: Dataset Preparation】
- Image specifications: 20-50 images, 1024x1024 resolution
- Captioning strategies: Tags for Anime, Natural Language for Photorealistic
- Bucket Size configuration for varying aspect ratios
- Folder structure with SDXL-optimized repeat counts

【Chapter 3: Configuration (YAML)】
- SDXL-specific parameter tuning
- Network settings: Rank 64-128, Alpha=1 strategy to prevent frying
- Dual text encoder training configuration
- Adafactor optimizer for memory efficiency
- BF16 precision for RTX 30/40 series

【Chapter 4: Training Process】
- Step-by-step execution guide
- Loss value interpretation (0.05-0.1 normal range)
- Time estimates: 30-60 mins on RTX 3090, 2-3 hours on RTX 4070

【Chapter 5: Model Pruning】
- Expected file size: 200-300MB for Rank 128
- Removing optimizer states if file exceeds 1GB

【Chapter 6: Testing & Application】
- ComfyUI workflow setup for SDXL
- Weight recommendations: 0.7-1.0 (SDXL LoRAs are robust)
- Resolution requirements: Always generate at 1024x1024 or equivalent

Bonus: FAQ & Troubleshooting
- OOM solutions with gradient checkpointing
- "Burned" high contrast fixes (Alpha adjustment)
- Blurry generation fixes (resolution issues)
- Slow training optimization (SSD bottleneck)

Technical Requirements:
- NVIDIA GPU with 12GB+ VRAM (24GB recommended)
- Windows with Kohya_ss GUI (SDXL-compatible version)
- 50GB+ free NVMe SSD storage

Package Contents:
- SDXL LoRA Training Complete Tutorial.html (formatted tutorial)
- SDXL LoRA Training Complete Tutorial.md (markdown source)

Who This Is For:
- SD1.5 users ready to upgrade to higher quality outputs
- Professional artists needing 1024x1024 native resolution
- Users with 12GB+ VRAM seeking better image quality
- Anyone wanting to train LoRAs for the SDXL ecosystem

Different specification

names of the specifications: License Type
Differences;
Single User (Single - person authorization)
Small Team (3 - 5 users) (3 - 5 - person small - team authorization)
Enterprise (Unlimited) (Enterprise unlimited authorization)
The second specification
Specification name: Support Scope
Differences;
Basic Support (Basic support: 24 - hour response on working days)
Priority Support (Priority support: 12 - hour response on working days)
Dedicated Support (Exclusive support: 8 - hour response on working days + 1v1 connection)
The third specification
Specification name: Update Access
Differences
Yes (12 Months) (Including 12 - month course updates)
No (One - Time Purchase) (One - time purchase, no updates included)