Jonathan Chang
commited on
Add examples
Browse files- .gitattributes +9 -0
- README.md +6 -1
- imgs/21-1024-576.png +3 -0
- imgs/21-576-1024.png +3 -0
- imgs/21f-1024-576.png +3 -0
- imgs/21f-576-1024.png +3 -0
- imgs/2b-1024-576.png +3 -0
- imgs/2b-576-1024.png +3 -0
- imgs/2bf-1024-576.png +3 -0
- imgs/2bf-576-1024.png +3 -0
.gitattributes
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@@ -34,3 +34,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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2-base/unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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2-1/unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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2-base/unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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2-1/unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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imgs/21f-576-1024.png filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -21,11 +21,16 @@ For usage, see - [How to Get Started with the Model](#how-to-get-started-with-th
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### It aims to solve the following issues:
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1. Generated images looks like they are cropped from a larger image.
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Examples:
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2. Generating non-square images creates weird results, due to the model being trained on square images.
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Examples:
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### Limitations:
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1. It's trained on a small dataset, so it's improvements may be limited.
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### It aims to solve the following issues:
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1. Generated images looks like they are cropped from a larger image.
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2. Generating non-square images creates weird results, due to the model being trained on square images.
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Examples:
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| resolution | model | stable diffusion | flex diffusion |
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|:---------------:|:-------:|:----------------------------:|:-----------------------------:|
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| 576x1024 (9:16) | v2-1 |  |  |
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| 576x1024 (9:16) | v2-base |  |  |
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| 1024x576 (16:9) | v2-1 |  |  |
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| 1024x576 (16:9) | v2-base |  |  |
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### Limitations:
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1. It's trained on a small dataset, so it's improvements may be limited.
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