The Problems
General-purpose models (eg: Flux, SD…) need audience-specific specialization.
Game-assets, branding mascots, anime & cartoon characters…
It requires dynamic switching between models and LoRA compatibility.
Automatic metrics (eg: FID, pixel distance…) are useful but not enough for image generation
Visual reviews are necessary but remain subjective.
Evaluation is still largely manual and inconsistent.
GenAI demands costly, high-demand GPUs like A100/H100.
GPU crashes erode user confidence.
Companies must achieve more with fewer resources.
The Solutions
Industry standard is 10-20s generation.
Best players achieve sub-5s generation
Pruna hits <1s for Flux Dev (1024 images/28 steps).
Pruna enables automated evaluation for all ML engineers.
Integrates metrics with human feedback
Including real human voting.
Pruna cuts GPU workloads with faster inference.
Enables scaling down to A10G instead of A100.
Supports multi-GPU setups for high availability.
In just 4 weeks, Pruna enabled Each AI to scale down from an A100-40 instance to an A10G, reducing average processing time from 10 seconds to 3 seconds while maintaining 100% uptime on their platform.