Guide on using LoRA models with prompts, covering trigger words, activation keywords, prompt formatting for specific LoRAs, weight adjustment syntax, and combining multiple LoRAs in a single prompt.
LoRA + Prompt Integration Guide: 1. **Trigger Words**: Each LoRA has specific trigger words that activate its effect 2. **Weight Syntax**: <lora:model_name:0.8> — adjust weight 0.0-1.0 3. **Multiple LoRAs**: Combine up to 3-4 LoRAs (more may cause conflicts) 4. **Prompt Order**: Place trigger words near the beginning for stronger effect 5. **Weight Balancing**: Lower individual LoRA weights when combining multiple 6. **Compatibility**: Check if LoRA is trained for SD 1.5, SDXL, or Flux 7. **Style LoRAs**: Add style keywords alongside the LoRA trigger 8. **Character LoRAs**: Be specific about pose and setting in the prompt Example: "a woman in a red dress, elegant pose, <lora:add_detail:0.7>, professional photography, 8k"
Download a LoRA from Civitai, place it in your models/lora folder, then reference it in your prompt with lora:name:weight syntax along with its trigger words.
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Covers the full prompt engineering workflow including subject specification, style references, quality boosters, camera and lighting terminology, negative prompt strategies, and CFG scale tuning for different prompt styles.
Exhaustive guide to negative prompts covering common negative terms, negative embeddings (EasyNegative, bad_prompt), weighting strategies, model-specific negative prompts, and common mistakes like over-weighting.
Official Hugging Face documentation on prompt weighting techniques in the Diffusers library, covering Compel syntax, numerical weights, blend operations, and conjunction prompts for advanced control over generation.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource