Push Keras model using huggingface_hub.

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: keras
+---
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+| Hyperparameters | Value |
+| :-- | :-- |
+| name | RMSprop |
+| weight_decay | None |
+| clipnorm | None |
+| global_clipnorm | None |
+| clipvalue | None |
+| use_ema | False |
+| ema_momentum | 0.99 |
+| ema_overwrite_frequency | 100 |
+| jit_compile | True |
+| is_legacy_optimizer | False |
+| learning_rate | 0.0010000000474974513 |
+| rho | 0.9 |
+| momentum | 0.0 |
+| epsilon | 1e-07 |
+| centered | False |
+| training_precision | float32 |
+

config.json

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+{"name": "diffusion_model_v2_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 320], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_5"}, "name": "input_5", "inbound_nodes": []}, {"class_name": "Dense", "config": {"name": "dense_216", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_216", "inbound_nodes": [[["input_5", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 64, 64, 4], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_6"}, "name": "input_6", "inbound_nodes": []}, {"class_name": "Activation", "config": {"name": "activation_68", "trainable": true, "dtype": "float32", "activation": "swish"}, "name": "activation_68", "inbound_nodes": [[["dense_216", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_52", "trainable": true, "dtype": "float32", "kernel_size": 3, "padding": 1, "filters": 320}, "name": "padded_conv2d_52", "inbound_nodes": [[["input_6", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_217", "trainable": true, "dtype": "float32", "units": 1280, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_217", "inbound_nodes": [[["activation_68", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_22", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block_22", "inbound_nodes": [[["padded_conv2d_52", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 77, 1024], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_4"}, "name": "input_4", "inbound_nodes": []}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_16", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 5, "head_size": 64}, "name": "spatial_transformer_16", "inbound_nodes": [[["res_block_22", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_23", "trainable": true, "dtype": "float32", "output_dim": 320}, "name": "res_block_23", "inbound_nodes": [[["spatial_transformer_16", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_17", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 5, "head_size": 64}, "name": "spatial_transformer_17", "inbound_nodes": [[["res_block_23", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_57", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 320, "kernel_size": 3}, "name": "padded_conv2d_57", "inbound_nodes": [[["spatial_transformer_17", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_24", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_24", "inbound_nodes": [[["padded_conv2d_57", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_18", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 10, "head_size": 64}, "name": "spatial_transformer_18", "inbound_nodes": [[["res_block_24", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_25", "trainable": true, "dtype": "float32", "output_dim": 640}, "name": "res_block_25", "inbound_nodes": [[["spatial_transformer_18", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_19", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 10, "head_size": 64}, "name": "spatial_transformer_19", "inbound_nodes": [[["res_block_25", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_62", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 640, "kernel_size": 3}, "name": "padded_conv2d_62", "inbound_nodes": [[["spatial_transformer_19", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_26", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_26", "inbound_nodes": [[["padded_conv2d_62", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_20", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 20, "head_size": 64}, "name": "spatial_transformer_20", "inbound_nodes": [[["res_block_26", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_27", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_27", "inbound_nodes": [[["spatial_transformer_20", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_21", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 20, "head_size": 64}, "name": "spatial_transformer_21", "inbound_nodes": [[["res_block_27", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_67", "trainable": true, "dtype": "float32", "strides": 2, "padding": 1, "filters": 1280, "kernel_size": 3}, "name": "padded_conv2d_67", "inbound_nodes": [[["spatial_transformer_21", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_28", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_28", "inbound_nodes": [[["padded_conv2d_67", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_29", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_29", "inbound_nodes": [[["res_block_28", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_30", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_30", "inbound_nodes": [[["res_block_29", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "SpatialTransformer", "config": {"name": "spatial_transformer_22", "trainable": true, "dtype": "float32", "fully_connected": true, "num_heads": 20, "head_size": 64}, "name": "spatial_transformer_22", "inbound_nodes": [[["res_block_30", 0, 0, {}], ["input_4", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_31", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_31", "inbound_nodes": [[["spatial_transformer_22", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_12", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_12", "inbound_nodes": [[["res_block_31", 0, 0, {}], ["res_block_29", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_32", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_32", "inbound_nodes": [[["concatenate_12", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_13", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_13", "inbound_nodes": [[["res_block_32", 0, 0, {}], ["res_block_28", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_33", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_33", "inbound_nodes": [[["concatenate_13", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_14", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_14", "inbound_nodes": [[["res_block_33", 0, 0, {}], ["padded_conv2d_67", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_34", "trainable": true, "dtype": "float32", "output_dim": 1280}, "name": "res_block_34", "inbound_nodes": [[["concatenate_14", 0, 0, {}], ["dense_217", 0, 0, {}]]]}, {"class_name": "Upsample", "config": {"name": "upsample_3", "trainable": true, "dtype": "float32", "channels": 1280}, "name": "upsample_3", "inbound_nodes": [[["res_block_34", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate_15", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate_15", "inbound_nodes": [[["upsample_3", 0, 0, {}], ["spatial_transformer_21", 0, 0, {}]]]}, {"class_name": "ResBlock", "config": {"name": "res_block_35", "trainable": true, "dtype": 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"scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "group_normalization_121", "inbound_nodes": [[["spatial_transformer_31", 0, 0, {}]]]}, {"class_name": "Activation", "config": {"name": "activation_135", "trainable": true, "dtype": "float32", "activation": "swish"}, "name": "activation_135", "inbound_nodes": [[["group_normalization_121", 0, 0, {}]]]}, {"class_name": "PaddedConv2D", "config": {"name": "padded_conv2d_103", "trainable": true, "dtype": "float32", "kernel_size": 3, "padding": 1, "filters": 4}, "name": "padded_conv2d_103", "inbound_nodes": [[["activation_135", 0, 0, {}]]]}], "input_layers": [["input_6", 0, 0], ["input_5", 0, 0], ["input_4", 0, 0]], "output_layers": [["padded_conv2d_103", 0, 0]]}

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