keras/stable_diffusion_3.5_large
012
1{2 "metadata": {3 "total_size": 18096840646.04 },5 "weight_map": {6 "/layers/clip_text_encoder/layers/token_and_position_embedding/position_embedding/vars": "model_00000.weights.h5",7 "/layers/clip_text_encoder/layers/token_and_position_embedding/token_embedding/vars": "model_00000.weights.h5",8 "/layers/clip_text_encoder/layers/clip_encoder_layer/attention/key_dense/vars": "model_00000.weights.h5",9 "/layers/clip_text_encoder/layers/clip_encoder_layer/attention/output_dense/vars": "model_00000.weights.h5",10 "/layers/clip_text_encoder/layers/clip_encoder_layer/attention/query_dense/vars": "model_00000.weights.h5",11 "/layers/clip_text_encoder/layers/clip_encoder_layer/attention/value_dense/vars": "model_00000.weights.h5",12 "/layers/clip_text_encoder/layers/clip_encoder_layer/dense_1/vars": "model_00000.weights.h5",13 "/layers/clip_text_encoder/layers/clip_encoder_layer/dense_2/vars": "model_00000.weights.h5",14 "/layers/clip_text_encoder/layers/clip_encoder_layer/layer_norm_1/vars": "model_00000.weights.h5",15 "/layers/clip_text_encoder/layers/clip_encoder_layer/layer_norm_2/vars": "model_00000.weights.h5",16 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/attention/key_dense/vars": "model_00000.weights.h5",17 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/attention/output_dense/vars": "model_00000.weights.h5",18 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/attention/query_dense/vars": "model_00000.weights.h5",19 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/attention/value_dense/vars": "model_00000.weights.h5",20 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/dense_1/vars": "model_00000.weights.h5",21 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/dense_2/vars": "model_00000.weights.h5",22 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/layer_norm_1/vars": "model_00000.weights.h5",23 "/layers/clip_text_encoder/layers/clip_encoder_layer_1/layer_norm_2/vars": "model_00000.weights.h5",24 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/attention/key_dense/vars": "model_00000.weights.h5",25 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/attention/output_dense/vars": "model_00000.weights.h5",26 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/attention/query_dense/vars": "model_00000.weights.h5",27 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/attention/value_dense/vars": "model_00000.weights.h5",28 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/dense_1/vars": "model_00000.weights.h5",29 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/dense_2/vars": "model_00000.weights.h5",30 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/layer_norm_1/vars": "model_00000.weights.h5",31 "/layers/clip_text_encoder/layers/clip_encoder_layer_2/layer_norm_2/vars": "model_00000.weights.h5",32 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/attention/key_dense/vars": "model_00000.weights.h5",33 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/attention/output_dense/vars": "model_00000.weights.h5",34 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/attention/query_dense/vars": "model_00000.weights.h5",35 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/attention/value_dense/vars": "model_00000.weights.h5",36 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/dense_1/vars": "model_00000.weights.h5",37 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/dense_2/vars": "model_00000.weights.h5",38 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/layer_norm_1/vars": "model_00000.weights.h5",39 "/layers/clip_text_encoder/layers/clip_encoder_layer_3/layer_norm_2/vars": "model_00000.weights.h5",40 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/attention/key_dense/vars": "model_00000.weights.h5",41 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/attention/output_dense/vars": "model_00000.weights.h5",42 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/attention/query_dense/vars": "model_00000.weights.h5",43 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/attention/value_dense/vars": "model_00000.weights.h5",44 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/dense_1/vars": "model_00000.weights.h5",45 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/dense_2/vars": "model_00000.weights.h5",46 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/layer_norm_1/vars": "model_00000.weights.h5",47 "/layers/clip_text_encoder/layers/clip_encoder_layer_4/layer_norm_2/vars": "model_00000.weights.h5",48 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/attention/key_dense/vars": "model_00000.weights.h5",49 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/attention/output_dense/vars": "model_00000.weights.h5",50 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/attention/query_dense/vars": "model_00000.weights.h5",51 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/attention/value_dense/vars": "model_00000.weights.h5",52 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/dense_1/vars": "model_00000.weights.h5",53 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/dense_2/vars": "model_00000.weights.h5",54 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/layer_norm_1/vars": "model_00000.weights.h5",55 "/layers/clip_text_encoder/layers/clip_encoder_layer_5/layer_norm_2/vars": "model_00000.weights.h5",56 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/attention/key_dense/vars": "model_00000.weights.h5",57 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/attention/output_dense/vars": "model_00000.weights.h5",58 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/attention/query_dense/vars": "model_00000.weights.h5",59 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/attention/value_dense/vars": "model_00000.weights.h5",60 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/dense_1/vars": "model_00000.weights.h5",61 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/dense_2/vars": "model_00000.weights.h5",62 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/layer_norm_1/vars": "model_00000.weights.h5",63 "/layers/clip_text_encoder/layers/clip_encoder_layer_6/layer_norm_2/vars": "model_00000.weights.h5",64 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/attention/key_dense/vars": "model_00000.weights.h5",65 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/attention/output_dense/vars": "model_00000.weights.h5",66 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/attention/query_dense/vars": "model_00000.weights.h5",67 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/attention/value_dense/vars": "model_00000.weights.h5",68 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/dense_1/vars": "model_00000.weights.h5",69 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/dense_2/vars": "model_00000.weights.h5",70 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/layer_norm_1/vars": "model_00000.weights.h5",71 "/layers/clip_text_encoder/layers/clip_encoder_layer_7/layer_norm_2/vars": "model_00000.weights.h5",72 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/attention/key_dense/vars": "model_00000.weights.h5",73 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/attention/output_dense/vars": "model_00000.weights.h5",74 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/attention/query_dense/vars": "model_00000.weights.h5",75 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/attention/value_dense/vars": "model_00000.weights.h5",76 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/dense_1/vars": "model_00000.weights.h5",77 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/dense_2/vars": "model_00000.weights.h5",78 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/layer_norm_1/vars": "model_00000.weights.h5",79 "/layers/clip_text_encoder/layers/clip_encoder_layer_8/layer_norm_2/vars": "model_00000.weights.h5",80 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/attention/key_dense/vars": "model_00000.weights.h5",81 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/attention/output_dense/vars": "model_00000.weights.h5",82 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/attention/query_dense/vars": "model_00000.weights.h5",83 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/attention/value_dense/vars": "model_00000.weights.h5",84 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/dense_1/vars": "model_00000.weights.h5",85 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/dense_2/vars": "model_00000.weights.h5",86 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/layer_norm_1/vars": "model_00000.weights.h5",87 "/layers/clip_text_encoder/layers/clip_encoder_layer_9/layer_norm_2/vars": "model_00000.weights.h5",88 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/attention/key_dense/vars": "model_00000.weights.h5",89 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/attention/output_dense/vars": "model_00000.weights.h5",90 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/attention/query_dense/vars": "model_00000.weights.h5",91 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/attention/value_dense/vars": "model_00000.weights.h5",92 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/dense_1/vars": "model_00000.weights.h5",93 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/dense_2/vars": "model_00000.weights.h5",94 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/layer_norm_1/vars": "model_00000.weights.h5",95 "/layers/clip_text_encoder/layers/clip_encoder_layer_10/layer_norm_2/vars": "model_00000.weights.h5",96 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/attention/key_dense/vars": "model_00000.weights.h5",97 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/attention/output_dense/vars": "model_00000.weights.h5",98 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/attention/query_dense/vars": "model_00000.weights.h5",99 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/attention/value_dense/vars": "model_00000.weights.h5",100 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/dense_1/vars": "model_00000.weights.h5",101 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/dense_2/vars": "model_00000.weights.h5",102 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/layer_norm_1/vars": "model_00000.weights.h5",103 "/layers/clip_text_encoder/layers/clip_encoder_layer_11/layer_norm_2/vars": "model_00000.weights.h5",104 "/layers/clip_text_encoder/layers/layer_normalization/vars": "model_00000.weights.h5",105 "/layers/clip_text_encoder_1/layers/token_and_position_embedding/position_embedding/vars": "model_00000.weights.h5",106 "/layers/clip_text_encoder_1/layers/token_and_position_embedding/token_embedding/vars": "model_00000.weights.h5",107 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/attention/key_dense/vars": "model_00000.weights.h5",108 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/attention/output_dense/vars": "model_00000.weights.h5",109 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/attention/query_dense/vars": "model_00000.weights.h5",110 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/attention/value_dense/vars": "model_00000.weights.h5",111 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/dense_1/vars": "model_00000.weights.h5",112 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/dense_2/vars": "model_00000.weights.h5",113 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/layer_norm_1/vars": "model_00000.weights.h5",114 "/layers/clip_text_encoder_1/layers/clip_encoder_layer/layer_norm_2/vars": "model_00000.weights.h5",115 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/attention/key_dense/vars": "model_00000.weights.h5",116 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/attention/output_dense/vars": "model_00000.weights.h5",117 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/attention/query_dense/vars": "model_00000.weights.h5",118 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/attention/value_dense/vars": "model_00000.weights.h5",119 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/dense_1/vars": "model_00000.weights.h5",120 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/dense_2/vars": "model_00000.weights.h5",121 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/layer_norm_1/vars": "model_00000.weights.h5",122 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_1/layer_norm_2/vars": "model_00000.weights.h5",123 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/attention/key_dense/vars": "model_00000.weights.h5",124 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/attention/output_dense/vars": "model_00000.weights.h5",125 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/attention/query_dense/vars": "model_00000.weights.h5",126 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/attention/value_dense/vars": "model_00000.weights.h5",127 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/dense_1/vars": "model_00000.weights.h5",128 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/dense_2/vars": "model_00000.weights.h5",129 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/layer_norm_1/vars": "model_00000.weights.h5",130 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_2/layer_norm_2/vars": "model_00000.weights.h5",131 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/attention/key_dense/vars": "model_00000.weights.h5",132 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/attention/output_dense/vars": "model_00000.weights.h5",133 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/attention/query_dense/vars": "model_00000.weights.h5",134 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/attention/value_dense/vars": "model_00000.weights.h5",135 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/dense_1/vars": "model_00000.weights.h5",136 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/dense_2/vars": "model_00000.weights.h5",137 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/layer_norm_1/vars": "model_00000.weights.h5",138 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_3/layer_norm_2/vars": "model_00000.weights.h5",139 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/attention/key_dense/vars": "model_00000.weights.h5",140 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/attention/output_dense/vars": "model_00000.weights.h5",141 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/attention/query_dense/vars": "model_00000.weights.h5",142 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/attention/value_dense/vars": "model_00000.weights.h5",143 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/dense_1/vars": "model_00000.weights.h5",144 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/dense_2/vars": "model_00000.weights.h5",145 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/layer_norm_1/vars": "model_00000.weights.h5",146 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_4/layer_norm_2/vars": "model_00000.weights.h5",147 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/attention/key_dense/vars": "model_00000.weights.h5",148 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/attention/output_dense/vars": "model_00000.weights.h5",149 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/attention/query_dense/vars": "model_00000.weights.h5",150 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/attention/value_dense/vars": "model_00000.weights.h5",151 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/dense_1/vars": "model_00000.weights.h5",152 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/dense_2/vars": "model_00000.weights.h5",153 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/layer_norm_1/vars": "model_00000.weights.h5",154 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_5/layer_norm_2/vars": "model_00000.weights.h5",155 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/attention/key_dense/vars": "model_00000.weights.h5",156 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/attention/output_dense/vars": "model_00000.weights.h5",157 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/attention/query_dense/vars": "model_00000.weights.h5",158 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/attention/value_dense/vars": "model_00000.weights.h5",159 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/dense_1/vars": "model_00000.weights.h5",160 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/dense_2/vars": "model_00000.weights.h5",161 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/layer_norm_1/vars": "model_00000.weights.h5",162 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_6/layer_norm_2/vars": "model_00000.weights.h5",163 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/attention/key_dense/vars": "model_00000.weights.h5",164 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/attention/output_dense/vars": "model_00000.weights.h5",165 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/attention/query_dense/vars": "model_00000.weights.h5",166 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/attention/value_dense/vars": "model_00000.weights.h5",167 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/dense_1/vars": "model_00000.weights.h5",168 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/dense_2/vars": "model_00000.weights.h5",169 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/layer_norm_1/vars": "model_00000.weights.h5",170 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_7/layer_norm_2/vars": "model_00000.weights.h5",171 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/attention/key_dense/vars": "model_00000.weights.h5",172 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/attention/output_dense/vars": "model_00000.weights.h5",173 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/attention/query_dense/vars": "model_00000.weights.h5",174 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/attention/value_dense/vars": "model_00000.weights.h5",175 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/dense_1/vars": "model_00000.weights.h5",176 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/dense_2/vars": "model_00000.weights.h5",177 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/layer_norm_1/vars": "model_00000.weights.h5",178 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_8/layer_norm_2/vars": "model_00000.weights.h5",179 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/attention/key_dense/vars": "model_00000.weights.h5",180 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/attention/output_dense/vars": "model_00000.weights.h5",181 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/attention/query_dense/vars": "model_00000.weights.h5",182 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/attention/value_dense/vars": "model_00000.weights.h5",183 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/dense_1/vars": "model_00000.weights.h5",184 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/dense_2/vars": "model_00000.weights.h5",185 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/layer_norm_1/vars": "model_00000.weights.h5",186 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_9/layer_norm_2/vars": "model_00000.weights.h5",187 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/attention/key_dense/vars": "model_00000.weights.h5",188 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/attention/output_dense/vars": "model_00000.weights.h5",189 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/attention/query_dense/vars": "model_00000.weights.h5",190 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/attention/value_dense/vars": "model_00000.weights.h5",191 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/dense_1/vars": "model_00000.weights.h5",192 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/dense_2/vars": "model_00000.weights.h5",193 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/layer_norm_1/vars": "model_00000.weights.h5",194 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_10/layer_norm_2/vars": "model_00000.weights.h5",195 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/attention/key_dense/vars": "model_00000.weights.h5",196 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/attention/output_dense/vars": "model_00000.weights.h5",197 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/attention/query_dense/vars": "model_00000.weights.h5",198 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/attention/value_dense/vars": "model_00000.weights.h5",199 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/dense_1/vars": "model_00000.weights.h5",200 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/dense_2/vars": "model_00000.weights.h5",201 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/layer_norm_1/vars": "model_00000.weights.h5",202 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_11/layer_norm_2/vars": "model_00000.weights.h5",203 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/attention/key_dense/vars": "model_00000.weights.h5",204 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/attention/output_dense/vars": "model_00000.weights.h5",205 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/attention/query_dense/vars": "model_00000.weights.h5",206 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/attention/value_dense/vars": "model_00000.weights.h5",207 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/dense_1/vars": "model_00000.weights.h5",208 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/dense_2/vars": "model_00000.weights.h5",209 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/layer_norm_1/vars": "model_00000.weights.h5",210 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_12/layer_norm_2/vars": "model_00000.weights.h5",211 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/attention/key_dense/vars": "model_00000.weights.h5",212 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/attention/output_dense/vars": "model_00000.weights.h5",213 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/attention/query_dense/vars": "model_00000.weights.h5",214 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/attention/value_dense/vars": "model_00000.weights.h5",215 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/dense_1/vars": "model_00000.weights.h5",216 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/dense_2/vars": "model_00000.weights.h5",217 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/layer_norm_1/vars": "model_00000.weights.h5",218 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_13/layer_norm_2/vars": "model_00000.weights.h5",219 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/attention/key_dense/vars": "model_00000.weights.h5",220 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/attention/output_dense/vars": "model_00000.weights.h5",221 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/attention/query_dense/vars": "model_00000.weights.h5",222 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/attention/value_dense/vars": "model_00000.weights.h5",223 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/dense_1/vars": "model_00000.weights.h5",224 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/dense_2/vars": "model_00000.weights.h5",225 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/layer_norm_1/vars": "model_00000.weights.h5",226 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_14/layer_norm_2/vars": "model_00000.weights.h5",227 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/attention/key_dense/vars": "model_00000.weights.h5",228 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/attention/output_dense/vars": "model_00000.weights.h5",229 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/attention/query_dense/vars": "model_00000.weights.h5",230 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/attention/value_dense/vars": "model_00000.weights.h5",231 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/dense_1/vars": "model_00000.weights.h5",232 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/dense_2/vars": "model_00000.weights.h5",233 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/layer_norm_1/vars": "model_00000.weights.h5",234 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_15/layer_norm_2/vars": "model_00000.weights.h5",235 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/attention/key_dense/vars": "model_00000.weights.h5",236 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/attention/output_dense/vars": "model_00000.weights.h5",237 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/attention/query_dense/vars": "model_00000.weights.h5",238 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/attention/value_dense/vars": "model_00000.weights.h5",239 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/dense_1/vars": "model_00000.weights.h5",240 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/dense_2/vars": "model_00000.weights.h5",241 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/layer_norm_1/vars": "model_00000.weights.h5",242 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_16/layer_norm_2/vars": "model_00000.weights.h5",243 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/attention/key_dense/vars": "model_00000.weights.h5",244 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/attention/output_dense/vars": "model_00000.weights.h5",245 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/attention/query_dense/vars": "model_00000.weights.h5",246 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/attention/value_dense/vars": "model_00000.weights.h5",247 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/dense_1/vars": "model_00000.weights.h5",248 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/dense_2/vars": "model_00000.weights.h5",249 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/layer_norm_1/vars": "model_00000.weights.h5",250 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_17/layer_norm_2/vars": "model_00000.weights.h5",251 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/attention/key_dense/vars": "model_00000.weights.h5",252 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/attention/output_dense/vars": "model_00000.weights.h5",253 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/attention/query_dense/vars": "model_00000.weights.h5",254 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/attention/value_dense/vars": "model_00000.weights.h5",255 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/dense_1/vars": "model_00000.weights.h5",256 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/dense_2/vars": "model_00000.weights.h5",257 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/layer_norm_1/vars": "model_00000.weights.h5",258 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_18/layer_norm_2/vars": "model_00000.weights.h5",259 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/attention/key_dense/vars": "model_00000.weights.h5",260 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/attention/output_dense/vars": "model_00000.weights.h5",261 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/attention/query_dense/vars": "model_00000.weights.h5",262 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/attention/value_dense/vars": "model_00000.weights.h5",263 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/dense_1/vars": "model_00000.weights.h5",264 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/dense_2/vars": "model_00000.weights.h5",265 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/layer_norm_1/vars": "model_00000.weights.h5",266 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_19/layer_norm_2/vars": "model_00000.weights.h5",267 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/attention/key_dense/vars": "model_00000.weights.h5",268 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/attention/output_dense/vars": "model_00000.weights.h5",269 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/attention/query_dense/vars": "model_00000.weights.h5",270 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/attention/value_dense/vars": "model_00000.weights.h5",271 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/dense_1/vars": "model_00000.weights.h5",272 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/dense_2/vars": "model_00000.weights.h5",273 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/layer_norm_1/vars": "model_00000.weights.h5",274 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_20/layer_norm_2/vars": "model_00000.weights.h5",275 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/attention/key_dense/vars": "model_00000.weights.h5",276 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/attention/output_dense/vars": "model_00000.weights.h5",277 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/attention/query_dense/vars": "model_00000.weights.h5",278 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/attention/value_dense/vars": "model_00000.weights.h5",279 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/dense_1/vars": "model_00000.weights.h5",280 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/dense_2/vars": "model_00000.weights.h5",281 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/layer_norm_1/vars": "model_00000.weights.h5",282 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_21/layer_norm_2/vars": "model_00000.weights.h5",283 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/attention/key_dense/vars": "model_00000.weights.h5",284 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/attention/output_dense/vars": "model_00000.weights.h5",285 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/attention/query_dense/vars": "model_00000.weights.h5",286 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/attention/value_dense/vars": "model_00000.weights.h5",287 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/dense_1/vars": "model_00000.weights.h5",288 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/dense_2/vars": "model_00000.weights.h5",289 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/layer_norm_1/vars": "model_00000.weights.h5",290 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_22/layer_norm_2/vars": "model_00000.weights.h5",291 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/attention/key_dense/vars": "model_00000.weights.h5",292 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/attention/output_dense/vars": "model_00000.weights.h5",293 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/attention/query_dense/vars": "model_00000.weights.h5",294 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/attention/value_dense/vars": "model_00000.weights.h5",295 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/dense_1/vars": "model_00000.weights.h5",296 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/dense_2/vars": "model_00000.weights.h5",297 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/layer_norm_1/vars": "model_00000.weights.h5",298 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_23/layer_norm_2/vars": "model_00000.weights.h5",299 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/attention/key_dense/vars": "model_00000.weights.h5",300 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/attention/output_dense/vars": "model_00000.weights.h5",301 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/attention/query_dense/vars": "model_00000.weights.h5",302 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/attention/value_dense/vars": "model_00000.weights.h5",303 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/dense_1/vars": "model_00000.weights.h5",304 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/dense_2/vars": "model_00000.weights.h5",305 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/layer_norm_1/vars": "model_00000.weights.h5",306 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_24/layer_norm_2/vars": "model_00000.weights.h5",307 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/attention/key_dense/vars": "model_00000.weights.h5",308 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/attention/output_dense/vars": "model_00000.weights.h5",309 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/attention/query_dense/vars": "model_00000.weights.h5",310 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/attention/value_dense/vars": "model_00000.weights.h5",311 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/dense_1/vars": "model_00000.weights.h5",312 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/dense_2/vars": "model_00000.weights.h5",313 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/layer_norm_1/vars": "model_00000.weights.h5",314 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_25/layer_norm_2/vars": "model_00000.weights.h5",315 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/attention/key_dense/vars": "model_00000.weights.h5",316 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/attention/output_dense/vars": "model_00000.weights.h5",317 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/attention/query_dense/vars": "model_00000.weights.h5",318 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/attention/value_dense/vars": "model_00000.weights.h5",319 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/dense_1/vars": "model_00000.weights.h5",320 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/dense_2/vars": "model_00000.weights.h5",321 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/layer_norm_1/vars": "model_00000.weights.h5",322 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_26/layer_norm_2/vars": "model_00000.weights.h5",323 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/attention/key_dense/vars": "model_00000.weights.h5",324 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/attention/output_dense/vars": "model_00000.weights.h5",325 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/attention/query_dense/vars": "model_00000.weights.h5",326 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/attention/value_dense/vars": "model_00000.weights.h5",327 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/dense_1/vars": "model_00000.weights.h5",328 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/dense_2/vars": "model_00000.weights.h5",329 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/layer_norm_1/vars": "model_00000.weights.h5",330 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_27/layer_norm_2/vars": "model_00000.weights.h5",331 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/attention/key_dense/vars": "model_00000.weights.h5",332 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/attention/output_dense/vars": "model_00000.weights.h5",333 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/attention/query_dense/vars": "model_00000.weights.h5",334 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/attention/value_dense/vars": "model_00000.weights.h5",335 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/dense_1/vars": "model_00000.weights.h5",336 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/dense_2/vars": "model_00000.weights.h5",337 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/layer_norm_1/vars": "model_00000.weights.h5",338 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_28/layer_norm_2/vars": "model_00000.weights.h5",339 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/attention/key_dense/vars": "model_00000.weights.h5",340 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/attention/output_dense/vars": "model_00000.weights.h5",341 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/attention/query_dense/vars": "model_00000.weights.h5",342 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/attention/value_dense/vars": "model_00000.weights.h5",343 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/dense_1/vars": "model_00000.weights.h5",344 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/dense_2/vars": "model_00000.weights.h5",345 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/layer_norm_1/vars": "model_00000.weights.h5",346 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_29/layer_norm_2/vars": "model_00000.weights.h5",347 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/attention/key_dense/vars": "model_00000.weights.h5",348 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/attention/output_dense/vars": "model_00000.weights.h5",349 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/attention/query_dense/vars": "model_00000.weights.h5",350 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/attention/value_dense/vars": "model_00000.weights.h5",351 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/dense_1/vars": "model_00000.weights.h5",352 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/dense_2/vars": "model_00000.weights.h5",353 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/layer_norm_1/vars": "model_00000.weights.h5",354 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_30/layer_norm_2/vars": "model_00000.weights.h5",355 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/attention/key_dense/vars": "model_00000.weights.h5",356 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/attention/output_dense/vars": "model_00000.weights.h5",357 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/attention/query_dense/vars": "model_00000.weights.h5",358 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/attention/value_dense/vars": "model_00000.weights.h5",359 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/dense_1/vars": "model_00000.weights.h5",360 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/dense_2/vars": "model_00000.weights.h5",361 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/layer_norm_1/vars": "model_00000.weights.h5",362 "/layers/clip_text_encoder_1/layers/clip_encoder_layer_31/layer_norm_2/vars": "model_00000.weights.h5",363 "/layers/clip_text_encoder_1/layers/layer_normalization/vars": "model_00000.weights.h5",364 "/layers/clip_projection/dense/vars": "model_00000.weights.h5",365 "/layers/clip_projection_1/dense/vars": "model_00000.weights.h5",366 "/layers/mm_di_t/layers/patch_embedding/patch_embedding/vars": "model_00000.weights.h5",367 "/layers/mm_di_t/layers/adjustable_position_embedding/vars": "model_00000.weights.h5",368 "/layers/mm_di_t/layers/timestep_embedding/mlp/dense1/vars": "model_00000.weights.h5",369 "/layers/mm_di_t/layers/timestep_embedding/mlp/dense2/vars": "model_00000.weights.h5",370 "/layers/mm_di_t/layers/mlp/dense1/vars": "model_00000.weights.h5",371 "/layers/mm_di_t/layers/mlp/dense2/vars": "model_00000.weights.h5",372 "/layers/mm_di_t/layers/dense/vars": "model_00000.weights.h5",373 "/layers/mm_di_t/layers/mm_di_t_block/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",374 "/layers/mm_di_t/layers/mm_di_t_block/context_block/attention_proj/vars": "model_00000.weights.h5",375 "/layers/mm_di_t/layers/mm_di_t_block/context_block/attention_qkv/vars": "model_00000.weights.h5",376 "/layers/mm_di_t/layers/mm_di_t_block/context_block/k_norm/vars": "model_00000.weights.h5",377 "/layers/mm_di_t/layers/mm_di_t_block/context_block/mlp/dense1/vars": "model_00000.weights.h5",378 "/layers/mm_di_t/layers/mm_di_t_block/context_block/mlp/dense2/vars": "model_00000.weights.h5",379 "/layers/mm_di_t/layers/mm_di_t_block/context_block/q_norm/vars": "model_00000.weights.h5",380 "/layers/mm_di_t/layers/mm_di_t_block/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",381 "/layers/mm_di_t/layers/mm_di_t_block/x_block/attention_proj/vars": "model_00000.weights.h5",382 "/layers/mm_di_t/layers/mm_di_t_block/x_block/attention_qkv/vars": "model_00000.weights.h5",383 "/layers/mm_di_t/layers/mm_di_t_block/x_block/k_norm/vars": "model_00000.weights.h5",384 "/layers/mm_di_t/layers/mm_di_t_block/x_block/mlp/dense1/vars": "model_00000.weights.h5",385 "/layers/mm_di_t/layers/mm_di_t_block/x_block/mlp/dense2/vars": "model_00000.weights.h5",386 "/layers/mm_di_t/layers/mm_di_t_block/x_block/q_norm/vars": "model_00000.weights.h5",387 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",388 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/attention_proj/vars": "model_00000.weights.h5",389 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/attention_qkv/vars": "model_00000.weights.h5",390 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/k_norm/vars": "model_00000.weights.h5",391 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/mlp/dense1/vars": "model_00000.weights.h5",392 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/mlp/dense2/vars": "model_00000.weights.h5",393 "/layers/mm_di_t/layers/mm_di_t_block_1/context_block/q_norm/vars": "model_00000.weights.h5",394 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",395 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/attention_proj/vars": "model_00000.weights.h5",396 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/attention_qkv/vars": "model_00000.weights.h5",397 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/k_norm/vars": "model_00000.weights.h5",398 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/mlp/dense1/vars": "model_00000.weights.h5",399 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/mlp/dense2/vars": "model_00000.weights.h5",400 "/layers/mm_di_t/layers/mm_di_t_block_1/x_block/q_norm/vars": "model_00000.weights.h5",401 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",402 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/attention_proj/vars": "model_00000.weights.h5",403 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/attention_qkv/vars": "model_00000.weights.h5",404 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/k_norm/vars": "model_00000.weights.h5",405 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/mlp/dense1/vars": "model_00000.weights.h5",406 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/mlp/dense2/vars": "model_00000.weights.h5",407 "/layers/mm_di_t/layers/mm_di_t_block_2/context_block/q_norm/vars": "model_00000.weights.h5",408 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",409 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/attention_proj/vars": "model_00000.weights.h5",410 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/attention_qkv/vars": "model_00000.weights.h5",411 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/k_norm/vars": "model_00000.weights.h5",412 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/mlp/dense1/vars": "model_00000.weights.h5",413 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/mlp/dense2/vars": "model_00000.weights.h5",414 "/layers/mm_di_t/layers/mm_di_t_block_2/x_block/q_norm/vars": "model_00000.weights.h5",415 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",416 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/attention_proj/vars": "model_00000.weights.h5",417 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/attention_qkv/vars": "model_00000.weights.h5",418 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/k_norm/vars": "model_00000.weights.h5",419 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/mlp/dense1/vars": "model_00000.weights.h5",420 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/mlp/dense2/vars": "model_00000.weights.h5",421 "/layers/mm_di_t/layers/mm_di_t_block_3/context_block/q_norm/vars": "model_00000.weights.h5",422 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",423 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/attention_proj/vars": "model_00000.weights.h5",424 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/attention_qkv/vars": "model_00000.weights.h5",425 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/k_norm/vars": "model_00000.weights.h5",426 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/mlp/dense1/vars": "model_00000.weights.h5",427 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/mlp/dense2/vars": "model_00000.weights.h5",428 "/layers/mm_di_t/layers/mm_di_t_block_3/x_block/q_norm/vars": "model_00000.weights.h5",429 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",430 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/attention_proj/vars": "model_00000.weights.h5",431 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/attention_qkv/vars": "model_00000.weights.h5",432 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/k_norm/vars": "model_00000.weights.h5",433 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/mlp/dense1/vars": "model_00000.weights.h5",434 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/mlp/dense2/vars": "model_00000.weights.h5",435 "/layers/mm_di_t/layers/mm_di_t_block_4/context_block/q_norm/vars": "model_00000.weights.h5",436 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",437 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/attention_proj/vars": "model_00000.weights.h5",438 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/attention_qkv/vars": "model_00000.weights.h5",439 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/k_norm/vars": "model_00000.weights.h5",440 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/mlp/dense1/vars": "model_00000.weights.h5",441 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/mlp/dense2/vars": "model_00000.weights.h5",442 "/layers/mm_di_t/layers/mm_di_t_block_4/x_block/q_norm/vars": "model_00000.weights.h5",443 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",444 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/attention_proj/vars": "model_00000.weights.h5",445 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/attention_qkv/vars": "model_00000.weights.h5",446 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/k_norm/vars": "model_00000.weights.h5",447 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/mlp/dense1/vars": "model_00000.weights.h5",448 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/mlp/dense2/vars": "model_00000.weights.h5",449 "/layers/mm_di_t/layers/mm_di_t_block_5/context_block/q_norm/vars": "model_00000.weights.h5",450 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",451 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/attention_proj/vars": "model_00000.weights.h5",452 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/attention_qkv/vars": "model_00000.weights.h5",453 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/k_norm/vars": "model_00000.weights.h5",454 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/mlp/dense1/vars": "model_00000.weights.h5",455 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/mlp/dense2/vars": "model_00000.weights.h5",456 "/layers/mm_di_t/layers/mm_di_t_block_5/x_block/q_norm/vars": "model_00000.weights.h5",457 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",458 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/attention_proj/vars": "model_00000.weights.h5",459 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/attention_qkv/vars": "model_00000.weights.h5",460 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/k_norm/vars": "model_00000.weights.h5",461 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/mlp/dense1/vars": "model_00000.weights.h5",462 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/mlp/dense2/vars": "model_00000.weights.h5",463 "/layers/mm_di_t/layers/mm_di_t_block_6/context_block/q_norm/vars": "model_00000.weights.h5",464 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",465 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/attention_proj/vars": "model_00000.weights.h5",466 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/attention_qkv/vars": "model_00000.weights.h5",467 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/k_norm/vars": "model_00000.weights.h5",468 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/mlp/dense1/vars": "model_00000.weights.h5",469 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/mlp/dense2/vars": "model_00000.weights.h5",470 "/layers/mm_di_t/layers/mm_di_t_block_6/x_block/q_norm/vars": "model_00000.weights.h5",471 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",472 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/attention_proj/vars": "model_00000.weights.h5",473 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/attention_qkv/vars": "model_00000.weights.h5",474 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/k_norm/vars": "model_00000.weights.h5",475 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/mlp/dense1/vars": "model_00000.weights.h5",476 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/mlp/dense2/vars": "model_00000.weights.h5",477 "/layers/mm_di_t/layers/mm_di_t_block_7/context_block/q_norm/vars": "model_00000.weights.h5",478 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",479 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/attention_proj/vars": "model_00000.weights.h5",480 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/attention_qkv/vars": "model_00000.weights.h5",481 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/k_norm/vars": "model_00000.weights.h5",482 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/mlp/dense1/vars": "model_00000.weights.h5",483 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/mlp/dense2/vars": "model_00000.weights.h5",484 "/layers/mm_di_t/layers/mm_di_t_block_7/x_block/q_norm/vars": "model_00000.weights.h5",485 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",486 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/attention_proj/vars": "model_00000.weights.h5",487 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/attention_qkv/vars": "model_00000.weights.h5",488 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/k_norm/vars": "model_00000.weights.h5",489 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/mlp/dense1/vars": "model_00000.weights.h5",490 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/mlp/dense2/vars": "model_00000.weights.h5",491 "/layers/mm_di_t/layers/mm_di_t_block_8/context_block/q_norm/vars": "model_00000.weights.h5",492 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",493 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/attention_proj/vars": "model_00000.weights.h5",494 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/attention_qkv/vars": "model_00000.weights.h5",495 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/k_norm/vars": "model_00000.weights.h5",496 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/mlp/dense1/vars": "model_00000.weights.h5",497 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/mlp/dense2/vars": "model_00000.weights.h5",498 "/layers/mm_di_t/layers/mm_di_t_block_8/x_block/q_norm/vars": "model_00000.weights.h5",499 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",500 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/attention_proj/vars": "model_00000.weights.h5",501 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/attention_qkv/vars": "model_00000.weights.h5",502 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/k_norm/vars": "model_00000.weights.h5",503 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/mlp/dense1/vars": "model_00000.weights.h5",504 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/mlp/dense2/vars": "model_00000.weights.h5",505 "/layers/mm_di_t/layers/mm_di_t_block_9/context_block/q_norm/vars": "model_00000.weights.h5",506 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",507 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/attention_proj/vars": "model_00000.weights.h5",508 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/attention_qkv/vars": "model_00000.weights.h5",509 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/k_norm/vars": "model_00000.weights.h5",510 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/mlp/dense1/vars": "model_00000.weights.h5",511 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/mlp/dense2/vars": "model_00000.weights.h5",512 "/layers/mm_di_t/layers/mm_di_t_block_9/x_block/q_norm/vars": "model_00000.weights.h5",513 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",514 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/attention_proj/vars": "model_00000.weights.h5",515 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/attention_qkv/vars": "model_00000.weights.h5",516 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/k_norm/vars": "model_00000.weights.h5",517 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/mlp/dense1/vars": "model_00000.weights.h5",518 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/mlp/dense2/vars": "model_00000.weights.h5",519 "/layers/mm_di_t/layers/mm_di_t_block_10/context_block/q_norm/vars": "model_00000.weights.h5",520 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",521 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/attention_proj/vars": "model_00000.weights.h5",522 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/attention_qkv/vars": "model_00000.weights.h5",523 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/k_norm/vars": "model_00000.weights.h5",524 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/mlp/dense1/vars": "model_00000.weights.h5",525 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/mlp/dense2/vars": "model_00000.weights.h5",526 "/layers/mm_di_t/layers/mm_di_t_block_10/x_block/q_norm/vars": "model_00000.weights.h5",527 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",528 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/attention_proj/vars": "model_00000.weights.h5",529 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/attention_qkv/vars": "model_00000.weights.h5",530 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/k_norm/vars": "model_00000.weights.h5",531 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/mlp/dense1/vars": "model_00000.weights.h5",532 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/mlp/dense2/vars": "model_00000.weights.h5",533 "/layers/mm_di_t/layers/mm_di_t_block_11/context_block/q_norm/vars": "model_00000.weights.h5",534 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",535 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/attention_proj/vars": "model_00000.weights.h5",536 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/attention_qkv/vars": "model_00000.weights.h5",537 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/k_norm/vars": "model_00000.weights.h5",538 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/mlp/dense1/vars": "model_00000.weights.h5",539 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/mlp/dense2/vars": "model_00000.weights.h5",540 "/layers/mm_di_t/layers/mm_di_t_block_11/x_block/q_norm/vars": "model_00000.weights.h5",541 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",542 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/attention_proj/vars": "model_00000.weights.h5",543 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/attention_qkv/vars": "model_00000.weights.h5",544 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/k_norm/vars": "model_00000.weights.h5",545 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/mlp/dense1/vars": "model_00000.weights.h5",546 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/mlp/dense2/vars": "model_00000.weights.h5",547 "/layers/mm_di_t/layers/mm_di_t_block_12/context_block/q_norm/vars": "model_00000.weights.h5",548 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",549 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/attention_proj/vars": "model_00000.weights.h5",550 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/attention_qkv/vars": "model_00000.weights.h5",551 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/k_norm/vars": "model_00000.weights.h5",552 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/mlp/dense1/vars": "model_00000.weights.h5",553 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/mlp/dense2/vars": "model_00000.weights.h5",554 "/layers/mm_di_t/layers/mm_di_t_block_12/x_block/q_norm/vars": "model_00000.weights.h5",555 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",556 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/attention_proj/vars": "model_00000.weights.h5",557 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/attention_qkv/vars": "model_00000.weights.h5",558 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/k_norm/vars": "model_00000.weights.h5",559 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/mlp/dense1/vars": "model_00000.weights.h5",560 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/mlp/dense2/vars": "model_00000.weights.h5",561 "/layers/mm_di_t/layers/mm_di_t_block_13/context_block/q_norm/vars": "model_00000.weights.h5",562 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",563 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/attention_proj/vars": "model_00000.weights.h5",564 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/attention_qkv/vars": "model_00000.weights.h5",565 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/k_norm/vars": "model_00000.weights.h5",566 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/mlp/dense1/vars": "model_00000.weights.h5",567 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/mlp/dense2/vars": "model_00000.weights.h5",568 "/layers/mm_di_t/layers/mm_di_t_block_13/x_block/q_norm/vars": "model_00000.weights.h5",569 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",570 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/attention_proj/vars": "model_00000.weights.h5",571 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/attention_qkv/vars": "model_00000.weights.h5",572 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/k_norm/vars": "model_00000.weights.h5",573 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/mlp/dense1/vars": "model_00000.weights.h5",574 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/mlp/dense2/vars": "model_00000.weights.h5",575 "/layers/mm_di_t/layers/mm_di_t_block_14/context_block/q_norm/vars": "model_00000.weights.h5",576 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",577 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/attention_proj/vars": "model_00000.weights.h5",578 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/attention_qkv/vars": "model_00000.weights.h5",579 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/k_norm/vars": "model_00000.weights.h5",580 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/mlp/dense1/vars": "model_00000.weights.h5",581 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/mlp/dense2/vars": "model_00000.weights.h5",582 "/layers/mm_di_t/layers/mm_di_t_block_14/x_block/q_norm/vars": "model_00000.weights.h5",583 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",584 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/attention_proj/vars": "model_00000.weights.h5",585 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/attention_qkv/vars": "model_00000.weights.h5",586 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/k_norm/vars": "model_00000.weights.h5",587 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/mlp/dense1/vars": "model_00000.weights.h5",588 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/mlp/dense2/vars": "model_00000.weights.h5",589 "/layers/mm_di_t/layers/mm_di_t_block_15/context_block/q_norm/vars": "model_00000.weights.h5",590 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",591 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/attention_proj/vars": "model_00000.weights.h5",592 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/attention_qkv/vars": "model_00000.weights.h5",593 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/k_norm/vars": "model_00000.weights.h5",594 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/mlp/dense1/vars": "model_00000.weights.h5",595 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/mlp/dense2/vars": "model_00000.weights.h5",596 "/layers/mm_di_t/layers/mm_di_t_block_15/x_block/q_norm/vars": "model_00000.weights.h5",597 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",598 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/attention_proj/vars": "model_00000.weights.h5",599 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/attention_qkv/vars": "model_00000.weights.h5",600 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/k_norm/vars": "model_00000.weights.h5",601 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/mlp/dense1/vars": "model_00000.weights.h5",602 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/mlp/dense2/vars": "model_00000.weights.h5",603 "/layers/mm_di_t/layers/mm_di_t_block_16/context_block/q_norm/vars": "model_00000.weights.h5",604 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",605 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/attention_proj/vars": "model_00000.weights.h5",606 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/attention_qkv/vars": "model_00000.weights.h5",607 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/k_norm/vars": "model_00000.weights.h5",608 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/mlp/dense1/vars": "model_00000.weights.h5",609 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/mlp/dense2/vars": "model_00000.weights.h5",610 "/layers/mm_di_t/layers/mm_di_t_block_16/x_block/q_norm/vars": "model_00000.weights.h5",611 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",612 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/attention_proj/vars": "model_00000.weights.h5",613 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/attention_qkv/vars": "model_00000.weights.h5",614 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/k_norm/vars": "model_00000.weights.h5",615 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/mlp/dense1/vars": "model_00000.weights.h5",616 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/mlp/dense2/vars": "model_00000.weights.h5",617 "/layers/mm_di_t/layers/mm_di_t_block_17/context_block/q_norm/vars": "model_00000.weights.h5",618 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",619 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/attention_proj/vars": "model_00000.weights.h5",620 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/attention_qkv/vars": "model_00000.weights.h5",621 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/k_norm/vars": "model_00000.weights.h5",622 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/mlp/dense1/vars": "model_00000.weights.h5",623 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/mlp/dense2/vars": "model_00000.weights.h5",624 "/layers/mm_di_t/layers/mm_di_t_block_17/x_block/q_norm/vars": "model_00000.weights.h5",625 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",626 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/attention_proj/vars": "model_00000.weights.h5",627 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/attention_qkv/vars": "model_00000.weights.h5",628 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/k_norm/vars": "model_00000.weights.h5",629 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/mlp/dense1/vars": "model_00000.weights.h5",630 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/mlp/dense2/vars": "model_00000.weights.h5",631 "/layers/mm_di_t/layers/mm_di_t_block_18/context_block/q_norm/vars": "model_00000.weights.h5",632 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",633 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/attention_proj/vars": "model_00000.weights.h5",634 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/attention_qkv/vars": "model_00000.weights.h5",635 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/k_norm/vars": "model_00000.weights.h5",636 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/mlp/dense1/vars": "model_00000.weights.h5",637 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/mlp/dense2/vars": "model_00000.weights.h5",638 "/layers/mm_di_t/layers/mm_di_t_block_18/x_block/q_norm/vars": "model_00000.weights.h5",639 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",640 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/attention_proj/vars": "model_00000.weights.h5",641 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/attention_qkv/vars": "model_00000.weights.h5",642 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/k_norm/vars": "model_00000.weights.h5",643 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/mlp/dense1/vars": "model_00000.weights.h5",644 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/mlp/dense2/vars": "model_00000.weights.h5",645 "/layers/mm_di_t/layers/mm_di_t_block_19/context_block/q_norm/vars": "model_00000.weights.h5",646 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",647 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/attention_proj/vars": "model_00000.weights.h5",648 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/attention_qkv/vars": "model_00000.weights.h5",649 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/k_norm/vars": "model_00000.weights.h5",650 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/mlp/dense1/vars": "model_00000.weights.h5",651 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/mlp/dense2/vars": "model_00000.weights.h5",652 "/layers/mm_di_t/layers/mm_di_t_block_19/x_block/q_norm/vars": "model_00000.weights.h5",653 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",654 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/attention_proj/vars": "model_00000.weights.h5",655 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/attention_qkv/vars": "model_00000.weights.h5",656 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/k_norm/vars": "model_00000.weights.h5",657 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/mlp/dense1/vars": "model_00000.weights.h5",658 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/mlp/dense2/vars": "model_00000.weights.h5",659 "/layers/mm_di_t/layers/mm_di_t_block_20/context_block/q_norm/vars": "model_00000.weights.h5",660 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/ada_layer_norm/dense/vars": "model_00000.weights.h5",661 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/attention_proj/vars": "model_00000.weights.h5",662 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/attention_qkv/vars": "model_00000.weights.h5",663 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/k_norm/vars": "model_00000.weights.h5",664 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/mlp/dense1/vars": "model_00001.weights.h5",665 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/mlp/dense2/vars": "model_00001.weights.h5",666 "/layers/mm_di_t/layers/mm_di_t_block_20/x_block/q_norm/vars": "model_00001.weights.h5",667 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",668 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/attention_proj/vars": "model_00001.weights.h5",669 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/attention_qkv/vars": "model_00001.weights.h5",670 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/k_norm/vars": "model_00001.weights.h5",671 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/mlp/dense1/vars": "model_00001.weights.h5",672 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/mlp/dense2/vars": "model_00001.weights.h5",673 "/layers/mm_di_t/layers/mm_di_t_block_21/context_block/q_norm/vars": "model_00001.weights.h5",674 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",675 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/attention_proj/vars": "model_00001.weights.h5",676 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/attention_qkv/vars": "model_00001.weights.h5",677 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/k_norm/vars": "model_00001.weights.h5",678 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/mlp/dense1/vars": "model_00001.weights.h5",679 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/mlp/dense2/vars": "model_00001.weights.h5",680 "/layers/mm_di_t/layers/mm_di_t_block_21/x_block/q_norm/vars": "model_00001.weights.h5",681 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",682 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/attention_proj/vars": "model_00001.weights.h5",683 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/attention_qkv/vars": "model_00001.weights.h5",684 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/k_norm/vars": "model_00001.weights.h5",685 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/mlp/dense1/vars": "model_00001.weights.h5",686 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/mlp/dense2/vars": "model_00001.weights.h5",687 "/layers/mm_di_t/layers/mm_di_t_block_22/context_block/q_norm/vars": "model_00001.weights.h5",688 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",689 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/attention_proj/vars": "model_00001.weights.h5",690 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/attention_qkv/vars": "model_00001.weights.h5",691 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/k_norm/vars": "model_00001.weights.h5",692 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/mlp/dense1/vars": "model_00001.weights.h5",693 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/mlp/dense2/vars": "model_00001.weights.h5",694 "/layers/mm_di_t/layers/mm_di_t_block_22/x_block/q_norm/vars": "model_00001.weights.h5",695 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",696 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/attention_proj/vars": "model_00001.weights.h5",697 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/attention_qkv/vars": "model_00001.weights.h5",698 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/k_norm/vars": "model_00001.weights.h5",699 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/mlp/dense1/vars": "model_00001.weights.h5",700 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/mlp/dense2/vars": "model_00001.weights.h5",701 "/layers/mm_di_t/layers/mm_di_t_block_23/context_block/q_norm/vars": "model_00001.weights.h5",702 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",703 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/attention_proj/vars": "model_00001.weights.h5",704 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/attention_qkv/vars": "model_00001.weights.h5",705 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/k_norm/vars": "model_00001.weights.h5",706 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/mlp/dense1/vars": "model_00001.weights.h5",707 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/mlp/dense2/vars": "model_00001.weights.h5",708 "/layers/mm_di_t/layers/mm_di_t_block_23/x_block/q_norm/vars": "model_00001.weights.h5",709 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",710 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/attention_proj/vars": "model_00001.weights.h5",711 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/attention_qkv/vars": "model_00001.weights.h5",712 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/k_norm/vars": "model_00001.weights.h5",713 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/mlp/dense1/vars": "model_00001.weights.h5",714 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/mlp/dense2/vars": "model_00001.weights.h5",715 "/layers/mm_di_t/layers/mm_di_t_block_24/context_block/q_norm/vars": "model_00001.weights.h5",716 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",717 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/attention_proj/vars": "model_00001.weights.h5",718 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/attention_qkv/vars": "model_00001.weights.h5",719 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/k_norm/vars": "model_00001.weights.h5",720 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/mlp/dense1/vars": "model_00001.weights.h5",721 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/mlp/dense2/vars": "model_00001.weights.h5",722 "/layers/mm_di_t/layers/mm_di_t_block_24/x_block/q_norm/vars": "model_00001.weights.h5",723 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",724 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/attention_proj/vars": "model_00001.weights.h5",725 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/attention_qkv/vars": "model_00001.weights.h5",726 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/k_norm/vars": "model_00001.weights.h5",727 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/mlp/dense1/vars": "model_00001.weights.h5",728 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/mlp/dense2/vars": "model_00001.weights.h5",729 "/layers/mm_di_t/layers/mm_di_t_block_25/context_block/q_norm/vars": "model_00001.weights.h5",730 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",731 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/attention_proj/vars": "model_00001.weights.h5",732 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/attention_qkv/vars": "model_00001.weights.h5",733 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/k_norm/vars": "model_00001.weights.h5",734 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/mlp/dense1/vars": "model_00001.weights.h5",735 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/mlp/dense2/vars": "model_00001.weights.h5",736 "/layers/mm_di_t/layers/mm_di_t_block_25/x_block/q_norm/vars": "model_00001.weights.h5",737 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",738 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/attention_proj/vars": "model_00001.weights.h5",739 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/attention_qkv/vars": "model_00001.weights.h5",740 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/k_norm/vars": "model_00001.weights.h5",741 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/mlp/dense1/vars": "model_00001.weights.h5",742 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/mlp/dense2/vars": "model_00001.weights.h5",743 "/layers/mm_di_t/layers/mm_di_t_block_26/context_block/q_norm/vars": "model_00001.weights.h5",744 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",745 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/attention_proj/vars": "model_00001.weights.h5",746 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/attention_qkv/vars": "model_00001.weights.h5",747 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/k_norm/vars": "model_00001.weights.h5",748 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/mlp/dense1/vars": "model_00001.weights.h5",749 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/mlp/dense2/vars": "model_00001.weights.h5",750 "/layers/mm_di_t/layers/mm_di_t_block_26/x_block/q_norm/vars": "model_00001.weights.h5",751 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",752 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/attention_proj/vars": "model_00001.weights.h5",753 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/attention_qkv/vars": "model_00001.weights.h5",754 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/k_norm/vars": "model_00001.weights.h5",755 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/mlp/dense1/vars": "model_00001.weights.h5",756 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/mlp/dense2/vars": "model_00001.weights.h5",757 "/layers/mm_di_t/layers/mm_di_t_block_27/context_block/q_norm/vars": "model_00001.weights.h5",758 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",759 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/attention_proj/vars": "model_00001.weights.h5",760 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/attention_qkv/vars": "model_00001.weights.h5",761 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/k_norm/vars": "model_00001.weights.h5",762 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/mlp/dense1/vars": "model_00001.weights.h5",763 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/mlp/dense2/vars": "model_00001.weights.h5",764 "/layers/mm_di_t/layers/mm_di_t_block_27/x_block/q_norm/vars": "model_00001.weights.h5",765 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",766 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/attention_proj/vars": "model_00001.weights.h5",767 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/attention_qkv/vars": "model_00001.weights.h5",768 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/k_norm/vars": "model_00001.weights.h5",769 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/mlp/dense1/vars": "model_00001.weights.h5",770 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/mlp/dense2/vars": "model_00001.weights.h5",771 "/layers/mm_di_t/layers/mm_di_t_block_28/context_block/q_norm/vars": "model_00001.weights.h5",772 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",773 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/attention_proj/vars": "model_00001.weights.h5",774 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/attention_qkv/vars": "model_00001.weights.h5",775 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/k_norm/vars": "model_00001.weights.h5",776 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/mlp/dense1/vars": "model_00001.weights.h5",777 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/mlp/dense2/vars": "model_00001.weights.h5",778 "/layers/mm_di_t/layers/mm_di_t_block_28/x_block/q_norm/vars": "model_00001.weights.h5",779 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",780 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/attention_proj/vars": "model_00001.weights.h5",781 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/attention_qkv/vars": "model_00001.weights.h5",782 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/k_norm/vars": "model_00001.weights.h5",783 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/mlp/dense1/vars": "model_00001.weights.h5",784 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/mlp/dense2/vars": "model_00001.weights.h5",785 "/layers/mm_di_t/layers/mm_di_t_block_29/context_block/q_norm/vars": "model_00001.weights.h5",786 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",787 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/attention_proj/vars": "model_00001.weights.h5",788 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/attention_qkv/vars": "model_00001.weights.h5",789 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/k_norm/vars": "model_00001.weights.h5",790 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/mlp/dense1/vars": "model_00001.weights.h5",791 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/mlp/dense2/vars": "model_00001.weights.h5",792 "/layers/mm_di_t/layers/mm_di_t_block_29/x_block/q_norm/vars": "model_00001.weights.h5",793 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",794 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/attention_proj/vars": "model_00001.weights.h5",795 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/attention_qkv/vars": "model_00001.weights.h5",796 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/k_norm/vars": "model_00001.weights.h5",797 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/mlp/dense1/vars": "model_00001.weights.h5",798 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/mlp/dense2/vars": "model_00001.weights.h5",799 "/layers/mm_di_t/layers/mm_di_t_block_30/context_block/q_norm/vars": "model_00001.weights.h5",800 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",801 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/attention_proj/vars": "model_00001.weights.h5",802 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/attention_qkv/vars": "model_00001.weights.h5",803 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/k_norm/vars": "model_00001.weights.h5",804 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/mlp/dense1/vars": "model_00001.weights.h5",805 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/mlp/dense2/vars": "model_00001.weights.h5",806 "/layers/mm_di_t/layers/mm_di_t_block_30/x_block/q_norm/vars": "model_00001.weights.h5",807 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",808 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/attention_proj/vars": "model_00001.weights.h5",809 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/attention_qkv/vars": "model_00001.weights.h5",810 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/k_norm/vars": "model_00001.weights.h5",811 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/mlp/dense1/vars": "model_00001.weights.h5",812 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/mlp/dense2/vars": "model_00001.weights.h5",813 "/layers/mm_di_t/layers/mm_di_t_block_31/context_block/q_norm/vars": "model_00001.weights.h5",814 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",815 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/attention_proj/vars": "model_00001.weights.h5",816 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/attention_qkv/vars": "model_00001.weights.h5",817 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/k_norm/vars": "model_00001.weights.h5",818 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/mlp/dense1/vars": "model_00001.weights.h5",819 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/mlp/dense2/vars": "model_00001.weights.h5",820 "/layers/mm_di_t/layers/mm_di_t_block_31/x_block/q_norm/vars": "model_00001.weights.h5",821 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",822 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/attention_proj/vars": "model_00001.weights.h5",823 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/attention_qkv/vars": "model_00001.weights.h5",824 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/k_norm/vars": "model_00001.weights.h5",825 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/mlp/dense1/vars": "model_00001.weights.h5",826 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/mlp/dense2/vars": "model_00001.weights.h5",827 "/layers/mm_di_t/layers/mm_di_t_block_32/context_block/q_norm/vars": "model_00001.weights.h5",828 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",829 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/attention_proj/vars": "model_00001.weights.h5",830 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/attention_qkv/vars": "model_00001.weights.h5",831 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/k_norm/vars": "model_00001.weights.h5",832 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/mlp/dense1/vars": "model_00001.weights.h5",833 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/mlp/dense2/vars": "model_00001.weights.h5",834 "/layers/mm_di_t/layers/mm_di_t_block_32/x_block/q_norm/vars": "model_00001.weights.h5",835 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",836 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/attention_proj/vars": "model_00001.weights.h5",837 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/attention_qkv/vars": "model_00001.weights.h5",838 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/k_norm/vars": "model_00001.weights.h5",839 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/mlp/dense1/vars": "model_00001.weights.h5",840 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/mlp/dense2/vars": "model_00001.weights.h5",841 "/layers/mm_di_t/layers/mm_di_t_block_33/context_block/q_norm/vars": "model_00001.weights.h5",842 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",843 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/attention_proj/vars": "model_00001.weights.h5",844 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/attention_qkv/vars": "model_00001.weights.h5",845 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/k_norm/vars": "model_00001.weights.h5",846 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/mlp/dense1/vars": "model_00001.weights.h5",847 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/mlp/dense2/vars": "model_00001.weights.h5",848 "/layers/mm_di_t/layers/mm_di_t_block_33/x_block/q_norm/vars": "model_00001.weights.h5",849 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",850 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/attention_proj/vars": "model_00001.weights.h5",851 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/attention_qkv/vars": "model_00001.weights.h5",852 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/k_norm/vars": "model_00001.weights.h5",853 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/mlp/dense1/vars": "model_00001.weights.h5",854 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/mlp/dense2/vars": "model_00001.weights.h5",855 "/layers/mm_di_t/layers/mm_di_t_block_34/context_block/q_norm/vars": "model_00001.weights.h5",856 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",857 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/attention_proj/vars": "model_00001.weights.h5",858 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/attention_qkv/vars": "model_00001.weights.h5",859 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/k_norm/vars": "model_00001.weights.h5",860 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/mlp/dense1/vars": "model_00001.weights.h5",861 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/mlp/dense2/vars": "model_00001.weights.h5",862 "/layers/mm_di_t/layers/mm_di_t_block_34/x_block/q_norm/vars": "model_00001.weights.h5",863 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",864 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/attention_proj/vars": "model_00001.weights.h5",865 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/attention_qkv/vars": "model_00001.weights.h5",866 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/k_norm/vars": "model_00001.weights.h5",867 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/mlp/dense1/vars": "model_00001.weights.h5",868 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/mlp/dense2/vars": "model_00001.weights.h5",869 "/layers/mm_di_t/layers/mm_di_t_block_35/context_block/q_norm/vars": "model_00001.weights.h5",870 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",871 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/attention_proj/vars": "model_00001.weights.h5",872 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/attention_qkv/vars": "model_00001.weights.h5",873 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/k_norm/vars": "model_00001.weights.h5",874 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/mlp/dense1/vars": "model_00001.weights.h5",875 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/mlp/dense2/vars": "model_00001.weights.h5",876 "/layers/mm_di_t/layers/mm_di_t_block_35/x_block/q_norm/vars": "model_00001.weights.h5",877 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",878 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/attention_proj/vars": "model_00001.weights.h5",879 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/attention_qkv/vars": "model_00001.weights.h5",880 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/k_norm/vars": "model_00001.weights.h5",881 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/mlp/dense1/vars": "model_00001.weights.h5",882 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/mlp/dense2/vars": "model_00001.weights.h5",883 "/layers/mm_di_t/layers/mm_di_t_block_36/context_block/q_norm/vars": "model_00001.weights.h5",884 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",885 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/attention_proj/vars": "model_00001.weights.h5",886 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/attention_qkv/vars": "model_00001.weights.h5",887 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/k_norm/vars": "model_00001.weights.h5",888 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/mlp/dense1/vars": "model_00001.weights.h5",889 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/mlp/dense2/vars": "model_00001.weights.h5",890 "/layers/mm_di_t/layers/mm_di_t_block_36/x_block/q_norm/vars": "model_00001.weights.h5",891 "/layers/mm_di_t/layers/mm_di_t_block_37/context_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",892 "/layers/mm_di_t/layers/mm_di_t_block_37/context_block/attention_qkv/vars": "model_00001.weights.h5",893 "/layers/mm_di_t/layers/mm_di_t_block_37/context_block/k_norm/vars": "model_00001.weights.h5",894 "/layers/mm_di_t/layers/mm_di_t_block_37/context_block/q_norm/vars": "model_00001.weights.h5",895 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/ada_layer_norm/dense/vars": "model_00001.weights.h5",896 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/attention_proj/vars": "model_00001.weights.h5",897 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/attention_qkv/vars": "model_00001.weights.h5",898 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/k_norm/vars": "model_00001.weights.h5",899 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/mlp/dense1/vars": "model_00001.weights.h5",900 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/mlp/dense2/vars": "model_00001.weights.h5",901 "/layers/mm_di_t/layers/mm_di_t_block_37/x_block/q_norm/vars": "model_00001.weights.h5",902 "/layers/mm_di_t/layers/adaptive_layer_normalization/dense/vars": "model_00001.weights.h5",903 "/layers/mm_di_t/layers/dense_1/vars": "model_00001.weights.h5",904 "/layers/vae_encoder/blocks/res_net_block/conv1/vars": "model_00001.weights.h5",905 "/layers/vae_encoder/blocks/res_net_block/conv2/vars": "model_00001.weights.h5",906 "/layers/vae_encoder/blocks/res_net_block/norm1/vars": "model_00001.weights.h5",907 "/layers/vae_encoder/blocks/res_net_block/norm2/vars": "model_00001.weights.h5",908 "/layers/vae_encoder/blocks/res_net_block_1/conv1/vars": "model_00001.weights.h5",909 "/layers/vae_encoder/blocks/res_net_block_1/conv2/vars": "model_00001.weights.h5",910 "/layers/vae_encoder/blocks/res_net_block_1/norm1/vars": "model_00001.weights.h5",911 "/layers/vae_encoder/blocks/res_net_block_1/norm2/vars": "model_00001.weights.h5",912 "/layers/vae_encoder/blocks/res_net_block_2/conv1/vars": "model_00001.weights.h5",913 "/layers/vae_encoder/blocks/res_net_block_2/conv2/vars": "model_00001.weights.h5",914 "/layers/vae_encoder/blocks/res_net_block_2/norm1/vars": "model_00001.weights.h5",915 "/layers/vae_encoder/blocks/res_net_block_2/norm2/vars": "model_00001.weights.h5",916 "/layers/vae_encoder/blocks/res_net_block_2/residual_projection/vars": "model_00001.weights.h5",917 "/layers/vae_encoder/blocks/res_net_block_3/conv1/vars": "model_00001.weights.h5",918 "/layers/vae_encoder/blocks/res_net_block_3/conv2/vars": "model_00001.weights.h5",919 "/layers/vae_encoder/blocks/res_net_block_3/norm1/vars": "model_00001.weights.h5",920 "/layers/vae_encoder/blocks/res_net_block_3/norm2/vars": "model_00001.weights.h5",921 "/layers/vae_encoder/blocks/res_net_block_4/conv1/vars": "model_00001.weights.h5",922 "/layers/vae_encoder/blocks/res_net_block_4/conv2/vars": "model_00001.weights.h5",923 "/layers/vae_encoder/blocks/res_net_block_4/norm1/vars": "model_00001.weights.h5",924 "/layers/vae_encoder/blocks/res_net_block_4/norm2/vars": "model_00001.weights.h5",925 "/layers/vae_encoder/blocks/res_net_block_4/residual_projection/vars": "model_00001.weights.h5",926 "/layers/vae_encoder/blocks/res_net_block_5/conv1/vars": "model_00001.weights.h5",927 "/layers/vae_encoder/blocks/res_net_block_5/conv2/vars": "model_00001.weights.h5",928 "/layers/vae_encoder/blocks/res_net_block_5/norm1/vars": "model_00001.weights.h5",929 "/layers/vae_encoder/blocks/res_net_block_5/norm2/vars": "model_00001.weights.h5",930 "/layers/vae_encoder/blocks/res_net_block_6/conv1/vars": "model_00001.weights.h5",931 "/layers/vae_encoder/blocks/res_net_block_6/conv2/vars": "model_00001.weights.h5",932 "/layers/vae_encoder/blocks/res_net_block_6/norm1/vars": "model_00001.weights.h5",933 "/layers/vae_encoder/blocks/res_net_block_6/norm2/vars": "model_00001.weights.h5",934 "/layers/vae_encoder/blocks/res_net_block_7/conv1/vars": "model_00001.weights.h5",935 "/layers/vae_encoder/blocks/res_net_block_7/conv2/vars": "model_00001.weights.h5",936 "/layers/vae_encoder/blocks/res_net_block_7/norm1/vars": "model_00001.weights.h5",937 "/layers/vae_encoder/blocks/res_net_block_7/norm2/vars": "model_00001.weights.h5",938 "/layers/vae_encoder/downsamples/conv2d/vars": "model_00001.weights.h5",939 "/layers/vae_encoder/downsamples/conv2d_1/vars": "model_00001.weights.h5",940 "/layers/vae_encoder/downsamples/conv2d_2/vars": "model_00001.weights.h5",941 "/layers/vae_encoder/input_projection/vars": "model_00001.weights.h5",942 "/layers/vae_encoder/mid_attention/group_norm/vars": "model_00001.weights.h5",943 "/layers/vae_encoder/mid_attention/key_conv2d/vars": "model_00001.weights.h5",944 "/layers/vae_encoder/mid_attention/output_conv2d/vars": "model_00001.weights.h5",945 "/layers/vae_encoder/mid_attention/query_conv2d/vars": "model_00001.weights.h5",946 "/layers/vae_encoder/mid_attention/value_conv2d/vars": "model_00001.weights.h5",947 "/layers/vae_encoder/mid_block_0/conv1/vars": "model_00001.weights.h5",948 "/layers/vae_encoder/mid_block_0/conv2/vars": "model_00001.weights.h5",949 "/layers/vae_encoder/mid_block_0/norm1/vars": "model_00001.weights.h5",950 "/layers/vae_encoder/mid_block_0/norm2/vars": "model_00001.weights.h5",951 "/layers/vae_encoder/mid_block_1/conv1/vars": "model_00001.weights.h5",952 "/layers/vae_encoder/mid_block_1/conv2/vars": "model_00001.weights.h5",953 "/layers/vae_encoder/mid_block_1/norm1/vars": "model_00001.weights.h5",954 "/layers/vae_encoder/mid_block_1/norm2/vars": "model_00001.weights.h5",955 "/layers/vae_encoder/output_norm/vars": "model_00001.weights.h5",956 "/layers/vae_encoder/output_projection/vars": "model_00001.weights.h5",957 "/layers/vae_decoder/blocks/res_net_block/conv1/vars": "model_00001.weights.h5",958 "/layers/vae_decoder/blocks/res_net_block/conv2/vars": "model_00001.weights.h5",959 "/layers/vae_decoder/blocks/res_net_block/norm1/vars": "model_00001.weights.h5",960 "/layers/vae_decoder/blocks/res_net_block/norm2/vars": "model_00001.weights.h5",961 "/layers/vae_decoder/blocks/res_net_block_1/conv1/vars": "model_00001.weights.h5",962 "/layers/vae_decoder/blocks/res_net_block_1/conv2/vars": "model_00001.weights.h5",963 "/layers/vae_decoder/blocks/res_net_block_1/norm1/vars": "model_00001.weights.h5",964 "/layers/vae_decoder/blocks/res_net_block_1/norm2/vars": "model_00001.weights.h5",965 "/layers/vae_decoder/blocks/res_net_block_2/conv1/vars": "model_00001.weights.h5",966 "/layers/vae_decoder/blocks/res_net_block_2/conv2/vars": "model_00001.weights.h5",967 "/layers/vae_decoder/blocks/res_net_block_2/norm1/vars": "model_00001.weights.h5",968 "/layers/vae_decoder/blocks/res_net_block_2/norm2/vars": "model_00001.weights.h5",969 "/layers/vae_decoder/blocks/res_net_block_3/conv1/vars": "model_00001.weights.h5",970 "/layers/vae_decoder/blocks/res_net_block_3/conv2/vars": "model_00001.weights.h5",971 "/layers/vae_decoder/blocks/res_net_block_3/norm1/vars": "model_00001.weights.h5",972 "/layers/vae_decoder/blocks/res_net_block_3/norm2/vars": "model_00001.weights.h5",973 "/layers/vae_decoder/blocks/res_net_block_4/conv1/vars": "model_00001.weights.h5",974 "/layers/vae_decoder/blocks/res_net_block_4/conv2/vars": "model_00001.weights.h5",975 "/layers/vae_decoder/blocks/res_net_block_4/norm1/vars": "model_00001.weights.h5",976 "/layers/vae_decoder/blocks/res_net_block_4/norm2/vars": "model_00001.weights.h5",977 "/layers/vae_decoder/blocks/res_net_block_5/conv1/vars": "model_00001.weights.h5",978 "/layers/vae_decoder/blocks/res_net_block_5/conv2/vars": "model_00001.weights.h5",979 "/layers/vae_decoder/blocks/res_net_block_5/norm1/vars": "model_00001.weights.h5",980 "/layers/vae_decoder/blocks/res_net_block_5/norm2/vars": "model_00001.weights.h5",981 "/layers/vae_decoder/blocks/res_net_block_6/conv1/vars": "model_00001.weights.h5",982 "/layers/vae_decoder/blocks/res_net_block_6/conv2/vars": "model_00001.weights.h5",983 "/layers/vae_decoder/blocks/res_net_block_6/norm1/vars": "model_00001.weights.h5",984 "/layers/vae_decoder/blocks/res_net_block_6/norm2/vars": "model_00001.weights.h5",985 "/layers/vae_decoder/blocks/res_net_block_6/residual_projection/vars": "model_00001.weights.h5",986 "/layers/vae_decoder/blocks/res_net_block_7/conv1/vars": "model_00001.weights.h5",987 "/layers/vae_decoder/blocks/res_net_block_7/conv2/vars": "model_00001.weights.h5",988 "/layers/vae_decoder/blocks/res_net_block_7/norm1/vars": "model_00001.weights.h5",989 "/layers/vae_decoder/blocks/res_net_block_7/norm2/vars": "model_00001.weights.h5",990 "/layers/vae_decoder/blocks/res_net_block_8/conv1/vars": "model_00001.weights.h5",991 "/layers/vae_decoder/blocks/res_net_block_8/conv2/vars": "model_00001.weights.h5",992 "/layers/vae_decoder/blocks/res_net_block_8/norm1/vars": "model_00001.weights.h5",993 "/layers/vae_decoder/blocks/res_net_block_8/norm2/vars": "model_00001.weights.h5",994 "/layers/vae_decoder/blocks/res_net_block_9/conv1/vars": "model_00001.weights.h5",995 "/layers/vae_decoder/blocks/res_net_block_9/conv2/vars": "model_00001.weights.h5",996 "/layers/vae_decoder/blocks/res_net_block_9/norm1/vars": "model_00001.weights.h5",997 "/layers/vae_decoder/blocks/res_net_block_9/norm2/vars": "model_00001.weights.h5",998 "/layers/vae_decoder/blocks/res_net_block_9/residual_projection/vars": "model_00001.weights.h5",999 "/layers/vae_decoder/blocks/res_net_block_10/conv1/vars": "model_00001.weights.h5",1000 "/layers/vae_decoder/blocks/res_net_block_10/conv2/vars": "model_00001.weights.h5",1001 "/layers/vae_decoder/blocks/res_net_block_10/norm1/vars": "model_00001.weights.h5",1002 "/layers/vae_decoder/blocks/res_net_block_10/norm2/vars": "model_00001.weights.h5",1003 "/layers/vae_decoder/blocks/res_net_block_11/conv1/vars": "model_00001.weights.h5",1004 "/layers/vae_decoder/blocks/res_net_block_11/conv2/vars": "model_00001.weights.h5",1005 "/layers/vae_decoder/blocks/res_net_block_11/norm1/vars": "model_00001.weights.h5",1006 "/layers/vae_decoder/blocks/res_net_block_11/norm2/vars": "model_00001.weights.h5",1007 "/layers/vae_decoder/input_projection/vars": "model_00001.weights.h5",1008 "/layers/vae_decoder/mid_attention/group_norm/vars": "model_00001.weights.h5",1009 "/layers/vae_decoder/mid_attention/key_conv2d/vars": "model_00001.weights.h5",1010 "/layers/vae_decoder/mid_attention/output_conv2d/vars": "model_00001.weights.h5",1011 "/layers/vae_decoder/mid_attention/query_conv2d/vars": "model_00001.weights.h5",1012 "/layers/vae_decoder/mid_attention/value_conv2d/vars": "model_00001.weights.h5",1013 "/layers/vae_decoder/mid_block_0/conv1/vars": "model_00001.weights.h5",1014 "/layers/vae_decoder/mid_block_0/conv2/vars": "model_00001.weights.h5",1015 "/layers/vae_decoder/mid_block_0/norm1/vars": "model_00001.weights.h5",1016 "/layers/vae_decoder/mid_block_0/norm2/vars": "model_00001.weights.h5",1017 "/layers/vae_decoder/mid_block_1/conv1/vars": "model_00001.weights.h5",1018 "/layers/vae_decoder/mid_block_1/conv2/vars": "model_00001.weights.h5",1019 "/layers/vae_decoder/mid_block_1/norm1/vars": "model_00001.weights.h5",1020 "/layers/vae_decoder/mid_block_1/norm2/vars": "model_00001.weights.h5",1021 "/layers/vae_decoder/output_norm/vars": "model_00001.weights.h5",1022 "/layers/vae_decoder/output_projection/vars": "model_00001.weights.h5",1023 "/layers/vae_decoder/upsamples/conv2d/vars": "model_00001.weights.h5",1024 "/layers/vae_decoder/upsamples/conv2d_1/vars": "model_00001.weights.h5",1025 "/layers/vae_decoder/upsamples/conv2d_2/vars": "model_00001.weights.h5"1026 }1027}