lucataco / lcm-ssd-1b

Latent Consistency Model (LCM): SSD-1B, is a LCM distilled version that reduces the number of inference steps needed to only 2 - 8 steps

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Run time and cost

This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 3 seconds. The predict time for this model varies significantly based on the inputs.


Implementation of latent-consistency/lcm-ssd-1b

Latent Consistency Model (LCM): SSD-1B Latent Consistency Model (LCM) was proposed in Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference by Simian Luo, Yiqin Tan et al. and Simian Luo, Suraj Patil, and Daniel Gu succesfully applied the same approach to create LCM for SDXL.

This checkpoint is a LCM distilled version of segmind/SSD-1B that allows to reduce the number of inference steps to only between 2 - 8 steps.