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How to optimize the quality of AI image generation and maintain efficient output?

2025-08-25 1.5 K

Quality and Efficiency Balance Program

Specific strategies for achieving optimal output results through model selection and parameter tuning:

  • Model Selection Guide::
    • Standard quality: SD-XL-Bash-CF (equalized, 8 steps out in about 3 seconds)
    • Extreme quality: FLUX.1-Schnell-CF (subject to daily limits)
    • Asian Style: SF-Kolors (requires SF_TOKEN configuration)
  • parameter tuning::
    parameters recommended value Description of effect
    steps 8-15 Above 15 steps diminishing returns
    resolution (of a photo) 768×768 Balancing quality and speed
  • Cue word engineering::
    1. Contains four elements: subject + environment + style + quality of painting
    2. Use of English cues +translate:tlparameters
    3. Negative Cue Words:low quality, blurry

Effect Comparison Tips:
utilizationwrangler devWhen debugging locally, you can test different combinations of parameters in parallel and observe the logs of thegeneration_timeand image details.

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