---
license: mit
---
[![Discord](https://img.shields.io/discord/232596713892872193?logo=discord)](https://discord.gg/2JhHVh7CGu)

A semi custom network based on the follow paper [Simpler Diffusion (SiD2)](https://arxiv.org/abs/2410.19324v1)

This network uses the optimal transport flow matching objective outlined [Flow Matching for Generative Modeling](https://arxiv.org/abs/2210.02747)

xATGLU Layers are used instead of linears for entry into the transformer MLP layer [Expanded Gating Ranges
Improve Activation Functions](https://arxiv.org/pdf/2405.20768)

`python train.py` will train a new image network on the provided dataset. A pretrained model is provided here, step_1799.safetensors. To test, use:
`python test_sample.py step_1799.safetensors`

![samples](./1.png)
![samples](./2.png)
![samples](./3.png)
![samples](./4.png)