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AI for Artists
/Technical Parameters
/Generation Parameters

Generation Parameters

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Generation Parameters

Core settings that control the fundamental behavior of the generation process. These parameters affect everything from image quality to how closely the result follows your prompt.

  • Steps: The number of denoising iterations, typically 20-50, with more steps providing finer details but diminishing returns.
  • CFG Scale: Classifier-Free Guidance determining how closely the image follows your prompt (7-12 typical; higher values for literal interpretation).
  • Sampling Methods: Algorithms controlling how noise is removed during generation, affecting detail and quality.
  • Seed: Numerical value initializing the random noise pattern, allowing reproducibility when reused.
  • Resolution: Image dimensions, affecting detail level and composition.
  • Aspect Ratio: Proportions of the image, crucial for composition and subject framing.
  • Batch Size: Number of images generated simultaneously.
  • Clip Skip: Controls which layer of the CLIP model evaluates prompts, affecting style and interpretation.

These parameters interact with each other and with your prompt in complex ways. For instance, different sampling methods may require different optimal step counts, while CFG scale affects how literally your prompt is interpreted. Finding the right combination for your specific artistic vision often requires experimentation and careful observation.