Understanding Image Generation Model Parameters: Inference Steps, CFG Scale, and Samplers Explained

by Nat Currier 20 min read
AIImage GenerationTechnical Guide
Excerpt

Master the key parameters controlling image generation quality and performance. Learn optimal settings for inference steps, CFG scale, and samplers with practical examples and performance benchmarks.

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Nat Currier. "Understanding Image Generation Model Parameters: Inference Steps, CFG Scale, and Samplers Explained." nat.io, 2026-01-31. https://nat.io/blog/image-generation-model-parameters-guide

The guide explains that optimal inference steps range from 20-50 with diminishing returns beyond 30, CFG scale is effective between 7-12, and careful sampler selection balances image quality and performance.

https://nat.io/blog/image-generation-model-parameters-guide

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Key stat: 20 minute read