Flux.1 [dev] LoRA Training Complete Tutorial

Master the art of training LoRAs for Flux.1 — the revolutionary 12B parameter Flow Matching model from Black Forest Labs. Learn to harness unparalleled prompt adherence, perfect text rendering, and anatomically correct generations with this advanced training guide.

Product Type: Digital Tutorial (HTML + Markdown)

Why Flux.1 for Training?
- 12B parameters: Massive model capacity for complex concepts
- Flow Matching: Next-generation architecture beyond traditional diffusion
- Perfect text rendering: Generate readable text in images
- Superior anatomy: Finally, AI that draws correct hands and fingers
- T5 Text Encoder: Understands complex natural language prompts

Tutorial Structure (6 Chapters):

【Chapter 1: Environment & Hardware】
- GPU requirements: RTX 3090/4090 (24GB) optimal, 16GB minimum with offloading
- System RAM: 64GB highly recommended for T5 encoder loading
- Kohya_ss (sd3-flux branch) or Ostris AI-Toolkit setup
- Model preparation: flux1-dev.safetensors, T5xxl, CLIP_L encoders

【Chapter 2: Dataset Preparation】
- Image specifications: 15-30 high-quality images, 1024px+ resolution
- T5 captioning strategy: Natural language descriptions preferred
- Trigger word placement for concept activation
- Watermark removal and quality filtering

【Chapter 3: Configuration (YAML)】
- Flux-specific parameter tuning
- Network settings: Rank 16-64 (lower ranks work well due to model density)
- BF16 precision MANDATORY (FP16 causes NaN errors)
- Flow Matching specifics: discrete_flow_shift, model_prediction_type
- VRAM optimization: cache_text_encoder_outputs critical for 24GB cards

【Chapter 4: Training Process】
- Step-by-step execution guide
- T5xxl loading phase (RAM-intensive)
- Loss behavior differences from SD models
- Time estimates: ~40 mins for 1500 steps on RTX 4090

【Chapter 5: Model Formatting】
- Naming conventions to distinguish from SDXL LoRAs
- Expected file size: 20-50MB for Rank 16-64

【Chapter 6: Testing & Application】
- ComfyUI Flux Dev workflow setup
- Weight recommendations: 0.6-0.8 (Flux LoRAs are potent)
- Guidance Scale: Keep around 3.5 (not high CFG like 7.0)
- Long-form prompting capabilities

Bonus: FAQ & Troubleshooting
- NaN error solutions (precision issues)
- OOM fixes for system RAM and VRAM
- Slow training diagnosis (shared RAM swapping)
- Weak effect remedies (Rank/steps adjustment)

Technical Requirements:
- NVIDIA GPU with 24GB VRAM (16GB minimum with extreme optimization)
- 64GB System RAM recommended
- Windows with Kohya_ss or AI-Toolkit
- 50GB+ free storage space

Package Contents:
- Flux.1 [dev] LoRA Training Complete Tutorial.html (formatted tutorial)
- Flux.1 [dev] LoRA Training Complete Tutorial.md (markdown source)

Who This Is For:
- Advanced users ready for cutting-edge model training
- Artists seeking perfect text rendering and anatomy
- Professionals needing superior prompt adherence
- Users with high-end GPUs (24GB VRAM) wanting the best quality

Version differences；
Personal Basic Edition: 1 license for course content   Standard customer service consultation support (response within 24 hours on working days)
Personal advanced version: 1 set of course content Authorized priority customer service consultation support (response within 12 hours on working days)
Small Team Edition :1 copy of course content authorization Exclusive customer service for the team (response within 8 hours on working days)