---
license: mit
tags:
- not-for-all-audiences
---

A finetune of lodestones/fluffyrock-1088-minsnr-zsnr-vpred-ema-pytorch with the following changes:

- Caption dropout of 10% to improve classifier-free guidance
- Timesteps weighted by 1/(snr+1) to improve output quality
- A higher virtual batch size of 64
- Includes RedRocket/furception_vae for convenience (licensed separately, please refer to its repository for more information)

Like its predecessor, this is a v-prediction, zero terminal SNR model.  Please use the provided .yaml file (or do whatever your preferred frontend requires you to do to load a model as v-prediction and zero terminal SNR) so the model can load correctly, or you will have a lot of trouble generating correct outputs!

**NEW Feb 11 2024**: Fluffyrock Unleashed Refiner has been released.  Use it as a refiner model for the last 20% of generations for better fine details at no additional compute cost.  For best results, use the default noise schedule.

The VAE decoder is licensed under Furception's license (as of writing CC-BY-NC-SA 4.0 though due to change).  All other model components are licensed under the MIT license.

Special thanks to @RedHotTensors for general assistance.