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Smithsonian128UNet
faverogian/Smithsonian128UNet
Smithsonian128UNet is a machine learning model from faverogian. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
A pre-trained UNet on the Smithsonain Butterflies 128x128 dataset (HuggingFace).
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At a glance
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Jul 8, 2024
- Updated
- Jul 15, 2024
- SHA
- 99455736
Model card
From the Hugging Face model README
Model Card for Smithsonian128UNet
<!-- Provide a quick summary of what the model is/does. -->A pre-trained UNet on the Smithsonain Butterflies 128x128 dataset (HuggingFace).
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 presented in Lacoste et al. (2019).
- Hardware Type: 4x 16GB V100
- Hours used: 1 hour
- Compute Region: Canada
- Library
- diffusers
- License
- apache-2.0
- Languages
- en
- Created
- Jul 8, 2024
- Updated
- Jul 15, 2024