faverogian/Smithsonian128ControlNet

1---2language:3- en4license: apache-2.05library_name: diffusers6tags:7- diffusion8datasets:9- huggan/smithsonian_butterflies_subset10---11# Model Card for Smithsonian128UNet12 13<!-- Provide a quick summary of what the model is/does. -->14 15A pre-trained ControlNet on the Smithsonain Butterflies 128x128 dataset (HuggingFace) using Canny images as conditioning.16 17### Model Description18 19An 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 paradigm20 21- **Developed by:** [Gian Favero]22- **License:** [Apache 2.0]23 24### Model Sources [optional]25 26<!-- Provide the basic links for the model. -->27 28- **Repository:** [https://github.com/faverogian/simpleDiffusion]29- **Paper [optional]:** [https://arxiv.org/pdf/2301.11093]30 31## How to Get Started with the Model32 33Full usage details can be found at the GitHub repository page.34 35## Environmental Impact36 37<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->38 39Carbon 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).40 41- **Hardware Type:** 4x 16GB V10042- **Hours used:** 1 hour43- **Compute Region:** Canada