Capability
Inference Step Count Tuning For Quality Speed Tradeoff
3 artifacts provide this capability.
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1
animagine-xl-4.0Model43/100
via “inference step count optimization for speed-quality tradeoff”
text-to-image model by undefined. 2,57,592 downloads.
Unique: Uses DPMSolverMultistepScheduler which achieves high quality with fewer steps than standard DDPM, enabling 20-30 step generation without significant quality loss. Exposes step count as runtime parameter for flexible optimization.
vs others: DPMSolver scheduling enables faster inference than basic DDPM; more flexible than fixed-step models