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@@ -12,7 +12,7 @@ This network uses the optimal transport flow matching objective outlined [Flow M
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  xATGLU Layers are used instead of linears for entry into the transformer MLP layer [Expanded Gating Ranges
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  Improve Activation Functions](https://arxiv.org/pdf/2405.20768)
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- ```python train.py``` will train a new image network on the provided dataset.
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  ```python test_sample.py step_1799.safetensors``` Where step_1799.safetensors is the desired model to test inference on. This will always generate a sample grid of 16x16 images.
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  xATGLU Layers are used instead of linears for entry into the transformer MLP layer [Expanded Gating Ranges
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  Improve Activation Functions](https://arxiv.org/pdf/2405.20768)
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+ ```python train.py``` will train a new image network on the provided dataset (Currently the dataset is being fully rammed into GPU and is defined in the preload_dataset function)
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  ```python test_sample.py step_1799.safetensors``` Where step_1799.safetensors is the desired model to test inference on. This will always generate a sample grid of 16x16 images.
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