Examples

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

Flash Diffusion is a diffusion distillation method proposed in Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation by Clément Chadebec, Onur Tasar, Eyal Benaroche, and Benjamin Aubin from Jasper Research.

Model Descriptions:

This model is a 108M LoRA distilled version of SDXL model that is able to generate images in 4 steps. The main purpose of this model is to reproduce the main results of the paper.

See our live demo and official Github repo.

BibTeX

@misc{2406.02347,
Author = {Clement Chadebec and Onur Tasar and Eyal Benaroche and Benjamin Aubin},
Title = {Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation},
Year = {2024},
Eprint = {arXiv:2406.02347},
}