jyoung105 / lcm

Latent Consistency Models: Synthesizing High-Resolution Images with Few-step Inference

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Run time and cost

This model costs approximately $0.0045 to run on Replicate, or 222 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 L40S GPU hardware. Predictions typically complete within 5 seconds.

Readme

Latent Consistency Models

Official Repository of the paper: Latent Consistency Models. Project Page: https://latent-consistency-models.github.io

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Model Descriptions:

Distilled from Dreamshaper v7 fine-tune of Stable-Diffusion v1-5 with only 4,000 training iterations (~32 A100 GPU Hours).

BibTeX

@misc{luo2023latent,
      title={Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference}, 
      author={Simian Luo and Yiqin Tan and Longbo Huang and Jian Li and Hang Zhao},
      year={2023},
      eprint={2310.04378},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}