charlesmccarthy / terminus-xl-gamma-v2

Terminus XL Gamma is a new state-of-the-art latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.

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Run time and cost

This model costs approximately $0.0081 to run on Replicate, or 123 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 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Terminus XL Gamma is a new state-of-the-art latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.

Terminus is based on a similar architecture to SDXL, and has the same layout. It has been trained on fewer steps with very high quality data captions via COCO and Midjourney.

This model will not be capable of as many concepts as SDXL, and some subjects will simply look very bad.

The objective of this model was to use v-prediction and min-SNR gamma loss to efficiently train a full zero-terminal SNR model on a single A100-80G.

Fine-tuned from: ptx0/terminus-xl-gamma-v1 Developed by: pseudoterminal X (@bghira) Funded by: pseudoterminal X (@bghira) Model type: Latent Diffusion License: openrail++ Architecture: SDXL