charlesmccarthy / terminus-xl-otaku-v1

Terminus XL Otaku is a latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.

  • Public
  • 42 runs
Iterate in playground
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.0085 to run on Replicate, or 117 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 Otaku is a latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.

Terminus is a new state-of-the-art model family based on SDXL’s architecture, and is compatible with (most) SDXL pipelines.

For Terminus Otaku (this model), the training data is exclusively anime/celshading/3D renders and other hand-drawn or synthetic art styles.

The objective of this model was to continue the use of v-prediction objective and min-SNR gamma loss to adapt Terminus Gamma v2’s outputs to a more artistic style.

Fine-tuned from: ptx0/terminus-xl-gamma-v2 Developed by: pseudoterminal X (@bghira) Funded by: pseudoterminal X (@bghira) Model type: Latent Diffusion License: openrail++ Architecture: SDXL