cjwbw / segmind-vegart

Fast Segmind-Vega with 2-8 inference steps.

Public
762 runs
GitHub
License

Run with an API

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Examples

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Run time and cost

This model costs approximately $0.0016 to run on Replicate, or 625 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 (Large) GPU hardware. Predictions typically complete within 3 seconds.

Readme

Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega

Segmind-VegaRT a distilled consistency adapter for Segmind-Vega that allows to reduce the number of inference steps to only between 2 - 8 steps.

You can try the Segmind-Vega demo here: https://replicate.com/cjwbw/segmind-vega

Latent Consistency Model (LCM) LoRA was proposed in LCM-LoRA: A universal Stable-Diffusion Acceleration Module by Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al.