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    Best Practices

    Prompt Engineering for Stable Diffusion

    Portkey.ai April 23, 2026
    0 copies 0 likes

    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.

    Prompt
    Full Prompt Engineering Workflow:
    
    1. **Subject Specification**: Clear, specific description of the main subject
    2. **Style References**: Reference specific artists, art movements, or media types
    3. **Quality Boosters**: masterpiece, award-winning, professional, ultra-detailed
    4. **Camera Terms**: 50mm lens, shallow depth of field, macro, wide angle, telephoto
    5. **Lighting Terminology**: Rembrandt lighting, split lighting, butterfly lighting, ambient occlusion
    6. **Negative Prompt Strategy**: Start broad (low quality, blurry) then add specific fixes
    7. **CFG Scale Tuning**:
       - Low (3-5): Creative, loose interpretation
       - Medium (7-9): Balanced quality and creativity
       - High (10-15): Strict prompt adherence, may reduce quality
    8. **Sampling Steps**: 20-30 for most samplers, 50+ for DPM++ 2M Karras

    How to Use

    Follow the workflow from subject through CFG scale tuning. Adjust CFG scale based on how strictly you want the model to follow your prompt.

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