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--- |
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language: |
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- en |
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license: apache-2.0 |
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library_name: diffusers |
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tags: |
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- diffusion |
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datasets: |
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- huggan/smithsonian_butterflies_subset |
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--- |
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# Model Card for Smithsonian128UNet |
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<!-- Provide a quick summary of what the model is/does. --> |
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A pre-trained UNet on the Smithsonain Butterflies 128x128 dataset (HuggingFace). |
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### Model Description |
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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 |
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- **Developed by:** [Gian Favero] |
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- **License:** [Apache 2.0] |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [https://github.com/faverogian/simpleDiffusion] |
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- **Paper [optional]:** [https://arxiv.org/pdf/2301.11093] |
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## How to Get Started with the Model |
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Full usage details can be found at the GitHub repository page. |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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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). |
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- **Hardware Type:** 4x 16GB V100 |
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- **Hours used:** 1 hour |
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- **Compute Region:** Canada |
