simple diffusion: End-to-end diffusion for high resolution images
Paper • 2301.11093 • Published • 2
Model Card for Smithsonian128UNet
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]
- 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
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: 4x 16GB V100
- Hours used: 1 hour
- Compute Region: Canada
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