---
language:
- en
license: apache-2.0
library_name: diffusers
tags:
- diffusion
datasets:
- huggan/smithsonian_butterflies_subset
---
# Model Card for Smithsonian128UNet

<!-- Provide a quick summary of what the model is/does. -->

A pre-trained ControlNet on the Smithsonain Butterflies 128x128 dataset (HuggingFace) using Canny images as conditioning.

### Model Description

An EMA model saved at the conclusion of training (1000 epochs) of an unconditional diffusion model on the Smithsonian Butterflies 128x128 dataset. Trained using the Simple Diffusion paradigm

- **Developed by:** [Gian Favero]
- **License:** [Apache 2.0]

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [https://github.com/faverogian/simpleDiffusion]
- **Paper [optional]:** [https://arxiv.org/pdf/2301.11093]

## How to Get Started with the Model

Full usage details can be found at the GitHub repository page.

## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** 4x 16GB V100
- **Hours used:** 1 hour
- **Compute Region:** Canada