Verified75% confidenceFactExact time
Standard diffusion models often require 20–50 steps to generate.
3
Sources
75%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
33款AI图像生成模型成本横评：最高相差100倍
redditr/artificial7/10/2026
Related Claims
Unverified早期Flux模型的默认采样步数通常在20-50步之间80% similarUnverifiedDiffusion models typically require 20–50 sampling steps, whereas Transformer-based masked generation methods can compress inference steps to fewer than 10.78% similarUnverifiedStandard generation with traditional diffusion models typically requires 50–100 denoising iterations, whereas the Turbo version can reduce the steps to 4–8, achieving a speed improvement of more than 10x.75% similarUnverifiedFlow matching typically requires only 10–20 steps, whereas diffusion models require 50–100 steps.73% similarUnverifiedThe official recommendation is 40–50 sampling steps; 25 steps can also produce images normally, but 40 or more steps are noticeably better in terms of detail and texture71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/485688API
curl https://kongchang.com/api/v1/knowledge/claims/485688MCP
get_claim(id=485688)