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