rippertnt commited on
Commit
649ea5e
1 Parent(s): 7fc9fdf

Upload 23 files

Browse files
feature_extractor/preprocessor_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "do_resize",
5
+ "size",
6
+ "resample",
7
+ "do_center_crop",
8
+ "crop_size",
9
+ "do_rescale",
10
+ "rescale_factor",
11
+ "do_normalize",
12
+ "image_mean",
13
+ "image_std",
14
+ "do_convert_rgb",
15
+ "return_tensors",
16
+ "data_format",
17
+ "input_data_format"
18
+ ],
19
+ "crop_size": {
20
+ "height": 224,
21
+ "width": 224
22
+ },
23
+ "do_center_crop": true,
24
+ "do_convert_rgb": true,
25
+ "do_normalize": true,
26
+ "do_rescale": true,
27
+ "do_resize": true,
28
+ "image_mean": [
29
+ 0.48145466,
30
+ 0.4578275,
31
+ 0.40821073
32
+ ],
33
+ "image_processor_type": "CLIPFeatureExtractor",
34
+ "image_std": [
35
+ 0.26862954,
36
+ 0.26130258,
37
+ 0.27577711
38
+ ],
39
+ "resample": 3,
40
+ "rescale_factor": 0.00392156862745098,
41
+ "size": {
42
+ "shortest_edge": 224
43
+ }
44
+ }
model_index.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "StableDiffusionPipeline",
3
+ "_diffusers_version": "0.23.0",
4
+ "_name_or_path": "circulus/LCM-canvers-real-v3.9.1",
5
+ "feature_extractor": [
6
+ "transformers",
7
+ "CLIPFeatureExtractor"
8
+ ],
9
+ "requires_safety_checker": true,
10
+ "safety_checker": [
11
+ "stable_diffusion",
12
+ "StableDiffusionSafetyChecker"
13
+ ],
14
+ "scheduler": [
15
+ "diffusers",
16
+ "LCMScheduler"
17
+ ],
18
+ "text_encoder": [
19
+ "transformers",
20
+ "CLIPTextModel"
21
+ ],
22
+ "tokenizer": [
23
+ "transformers",
24
+ "CLIPTokenizer"
25
+ ],
26
+ "unet": [
27
+ "diffusers",
28
+ "UNet2DConditionModel"
29
+ ],
30
+ "vae": [
31
+ "diffusers",
32
+ "AutoencoderKL"
33
+ ]
34
+ }
scheduler/scheduler_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "LCMScheduler",
3
+ "_diffusers_version": "0.23.0",
4
+ "beta_end": 0.012,
5
+ "beta_schedule": "scaled_linear",
6
+ "beta_start": 0.00085,
7
+ "clip_sample": false,
8
+ "clip_sample_range": 1.0,
9
+ "dynamic_thresholding_ratio": 0.995,
10
+ "num_train_timesteps": 1000,
11
+ "original_inference_steps": 50,
12
+ "prediction_type": "epsilon",
13
+ "rescale_betas_zero_snr": false,
14
+ "sample_max_value": 1.0,
15
+ "set_alpha_to_one": false,
16
+ "skip_prk_steps": true,
17
+ "steps_offset": 1,
18
+ "thresholding": false,
19
+ "timestep_scaling": 10.0,
20
+ "timestep_spacing": "leading",
21
+ "trained_betas": null
22
+ }
text_encoder/config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "C:\\Users\\circulus\\.cache\\huggingface\\hub\\models--circulus--LCM-canvers-real-v3.9.1\\snapshots\\22e2a585544ef8a80085f074461cc93c5c701b67\\text_encoder",
3
+ "architectures": [
4
+ "CLIPTextModel"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 0,
8
+ "dropout": 0.0,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "quick_gelu",
11
+ "hidden_size": 768,
12
+ "initializer_factor": 1.0,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-05,
16
+ "max_position_embeddings": 77,
17
+ "model_type": "clip_text_model",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "pad_token_id": 1,
21
+ "projection_dim": 768,
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.41.2",
24
+ "vocab_size": 49408
25
+ }
text_encoder/openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69d41b8e122b4428dd390fa66eb10c527056a84b9f634ab2b83062f0d9609273
3
+ size 246121704
text_encoder/openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer/openvino_detokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e9925f912ba0b6112004f042915195a1308efbb4b7d17cfce3458594bb22f0e6
3
+ size 626399
tokenizer/openvino_detokenizer.xml ADDED
@@ -0,0 +1,271 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="detokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_505261" type="Parameter" version="opset1">
5
+ <data shape="?,?" element_type="i64" />
6
+ <output>
7
+ <port id="0" precision="I64" names="Parameter_505261">
8
+ <dim>-1</dim>
9
+ <dim>-1</dim>
10
+ </port>
11
+ </output>
12
+ </layer>
13
+ <layer id="1" name="Convert_505282" type="Convert" version="opset1">
14
+ <data destination_type="i32" />
15
+ <input>
16
+ <port id="0" precision="I64">
17
+ <dim>-1</dim>
18
+ <dim>-1</dim>
19
+ </port>
20
+ </input>
21
+ <output>
22
+ <port id="1" precision="I32">
23
+ <dim>-1</dim>
24
+ <dim>-1</dim>
25
+ </port>
26
+ </output>
27
+ </layer>
28
+ <layer id="2" name="Constant_505232" type="Const" version="opset1">
29
+ <data element_type="u8" shape="626345" offset="0" size="626345" />
30
+ <output>
31
+ <port id="0" precision="U8">
32
+ <dim>626345</dim>
33
+ </port>
34
+ </output>
35
+ </layer>
36
+ <layer id="3" name="StringTensorUnpack_505233" type="StringTensorUnpack" version="extension">
37
+ <data mode="begins_ends" />
38
+ <input>
39
+ <port id="0" precision="U8">
40
+ <dim>626345</dim>
41
+ </port>
42
+ </input>
43
+ <output>
44
+ <port id="1" precision="I32">
45
+ <dim>-1</dim>
46
+ </port>
47
+ <port id="2" precision="I32">
48
+ <dim>-1</dim>
49
+ </port>
50
+ <port id="3" precision="U8">
51
+ <dim>-1</dim>
52
+ </port>
53
+ </output>
54
+ </layer>
55
+ <layer id="4" name="VocabDecoder_505262" type="VocabDecoder" version="extension">
56
+ <data skip_tokens="" />
57
+ <input>
58
+ <port id="0" precision="I32">
59
+ <dim>-1</dim>
60
+ <dim>-1</dim>
61
+ </port>
62
+ <port id="1" precision="I32">
63
+ <dim>-1</dim>
64
+ </port>
65
+ <port id="2" precision="I32">
66
+ <dim>-1</dim>
67
+ </port>
68
+ <port id="3" precision="U8">
69
+ <dim>-1</dim>
70
+ </port>
71
+ </input>
72
+ <output>
73
+ <port id="4" precision="I32">
74
+ <dim>-1</dim>
75
+ </port>
76
+ <port id="5" precision="I32">
77
+ <dim>-1</dim>
78
+ </port>
79
+ <port id="6" precision="I32">
80
+ <dim>-1</dim>
81
+ </port>
82
+ <port id="7" precision="I32">
83
+ <dim>-1</dim>
84
+ </port>
85
+ <port id="8" precision="U8">
86
+ <dim>-1</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="5" name="CharsToBytes_505263" type="CharsToBytes" version="extension">
91
+ <input>
92
+ <port id="0" precision="I32">
93
+ <dim>-1</dim>
94
+ </port>
95
+ <port id="1" precision="I32">
96
+ <dim>-1</dim>
97
+ </port>
98
+ <port id="2" precision="I32">
99
+ <dim>-1</dim>
100
+ </port>
101
+ <port id="3" precision="I32">
102
+ <dim>-1</dim>
103
+ </port>
104
+ <port id="4" precision="U8">
105
+ <dim>-1</dim>
106
+ </port>
107
+ </input>
108
+ <output>
109
+ <port id="5" precision="I32">
110
+ <dim>-1</dim>
111
+ </port>
112
+ <port id="6" precision="I32">
113
+ <dim>-1</dim>
114
+ </port>
115
+ <port id="7" precision="U8">
116
+ <dim>-1</dim>
117
+ </port>
118
+ </output>
119
+ </layer>
120
+ <layer id="6" name="Constant_505265" type="Const" version="opset1">
121
+ <data element_type="u8" shape="4" offset="626345" size="4" />
122
+ <output>
123
+ <port id="0" precision="U8">
124
+ <dim>4</dim>
125
+ </port>
126
+ </output>
127
+ </layer>
128
+ <layer id="7" name="Constant_505267" type="Const" version="opset1">
129
+ <data element_type="u8" shape="1" offset="626349" size="1" />
130
+ <output>
131
+ <port id="0" precision="U8">
132
+ <dim>1</dim>
133
+ </port>
134
+ </output>
135
+ </layer>
136
+ <layer id="8" name="RegexNormalization_505268" type="RegexNormalization" version="extension">
137
+ <data global_replace="true" />
138
+ <input>
139
+ <port id="0" precision="I32">
140
+ <dim>-1</dim>
141
+ </port>
142
+ <port id="1" precision="I32">
143
+ <dim>-1</dim>
144
+ </port>
145
+ <port id="2" precision="U8">
146
+ <dim>-1</dim>
147
+ </port>
148
+ <port id="3" precision="U8">
149
+ <dim>4</dim>
150
+ </port>
151
+ <port id="4" precision="U8">
152
+ <dim>1</dim>
153
+ </port>
154
+ </input>
155
+ <output>
156
+ <port id="5" precision="I32">
157
+ <dim>-1</dim>
158
+ </port>
159
+ <port id="6" precision="I32">
160
+ <dim>-1</dim>
161
+ </port>
162
+ <port id="7" precision="U8">
163
+ <dim>-1</dim>
164
+ </port>
165
+ </output>
166
+ </layer>
167
+ <layer id="9" name="Constant_505270" type="Const" version="opset1">
168
+ <data element_type="u8" shape="47" offset="626350" size="47" />
169
+ <output>
170
+ <port id="0" precision="U8">
171
+ <dim>47</dim>
172
+ </port>
173
+ </output>
174
+ </layer>
175
+ <layer id="10" name="Constant_505272" type="Const" version="opset1">
176
+ <data element_type="u8" shape="2" offset="626397" size="2" />
177
+ <output>
178
+ <port id="0" precision="U8">
179
+ <dim>2</dim>
180
+ </port>
181
+ </output>
182
+ </layer>
183
+ <layer id="11" name="RegexNormalization_505273" type="RegexNormalization" version="extension">
184
+ <data global_replace="true" />
185
+ <input>
186
+ <port id="0" precision="I32">
187
+ <dim>-1</dim>
188
+ </port>
189
+ <port id="1" precision="I32">
190
+ <dim>-1</dim>
191
+ </port>
192
+ <port id="2" precision="U8">
193
+ <dim>-1</dim>
194
+ </port>
195
+ <port id="3" precision="U8">
196
+ <dim>47</dim>
197
+ </port>
198
+ <port id="4" precision="U8">
199
+ <dim>2</dim>
200
+ </port>
201
+ </input>
202
+ <output>
203
+ <port id="5" precision="I32">
204
+ <dim>-1</dim>
205
+ </port>
206
+ <port id="6" precision="I32">
207
+ <dim>-1</dim>
208
+ </port>
209
+ <port id="7" precision="U8">
210
+ <dim>-1</dim>
211
+ </port>
212
+ </output>
213
+ </layer>
214
+ <layer id="12" name="StringTensorPack_505274" type="StringTensorPack" version="extension">
215
+ <data mode="begins_ends" />
216
+ <input>
217
+ <port id="0" precision="I32">
218
+ <dim>-1</dim>
219
+ </port>
220
+ <port id="1" precision="I32">
221
+ <dim>-1</dim>
222
+ </port>
223
+ <port id="2" precision="U8">
224
+ <dim>-1</dim>
225
+ </port>
226
+ </input>
227
+ <output>
228
+ <port id="3" precision="STRING" names="string_output">
229
+ <dim>-1</dim>
230
+ </port>
231
+ </output>
232
+ </layer>
233
+ <layer id="13" name="Result_505275" type="Result" version="opset1">
234
+ <input>
235
+ <port id="0" precision="STRING">
236
+ <dim>-1</dim>
237
+ </port>
238
+ </input>
239
+ </layer>
240
+ </layers>
241
+ <edges>
242
+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
243
+ <edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
244
+ <edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
245
+ <edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
246
+ <edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
247
+ <edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
248
+ <edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
249
+ <edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
250
+ <edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
251
+ <edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
252
+ <edge from-layer="4" from-port="8" to-layer="5" to-port="4" />
253
+ <edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
254
+ <edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
255
+ <edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
256
+ <edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
257
+ <edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
258
+ <edge from-layer="8" from-port="5" to-layer="11" to-port="0" />
259
+ <edge from-layer="8" from-port="6" to-layer="11" to-port="1" />
260
+ <edge from-layer="8" from-port="7" to-layer="11" to-port="2" />
261
+ <edge from-layer="9" from-port="0" to-layer="11" to-port="3" />
262
+ <edge from-layer="10" from-port="0" to-layer="11" to-port="4" />
263
+ <edge from-layer="11" from-port="5" to-layer="12" to-port="0" />
264
+ <edge from-layer="11" from-port="6" to-layer="12" to-port="1" />
265
+ <edge from-layer="11" from-port="7" to-layer="12" to-port="2" />
266
+ <edge from-layer="12" from-port="3" to-layer="13" to-port="0" />
267
+ </edges>
268
+ <rt_info>
269
+ <eos_token_id value="49407" />
270
+ </rt_info>
271
+ </net>
tokenizer/openvino_tokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a093b76beec899c9589b3ac151cf1ae73c3f5114b57f35572b7beebae8a26d5
3
+ size 1297805
tokenizer/openvino_tokenizer.xml ADDED
@@ -0,0 +1,829 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_505141" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_505141">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_505242" type="Const" version="opset1">
13
+ <data element_type="i32" shape="" offset="0" size="4" />
14
+ <output>
15
+ <port id="0" precision="I32" />
16
+ </output>
17
+ </layer>
18
+ <layer id="2" name="Constant_505243" type="Const" version="opset1">
19
+ <data element_type="i32" shape="" offset="4" size="4" />
20
+ <output>
21
+ <port id="0" precision="I32" />
22
+ </output>
23
+ </layer>
24
+ <layer id="3" name="Constant_505244" type="Const" version="opset1">
25
+ <data element_type="i32" shape="1" offset="8" size="4" />
26
+ <output>
27
+ <port id="0" precision="I32">
28
+ <dim>1</dim>
29
+ </port>
30
+ </output>
31
+ </layer>
32
+ <layer id="4" name="Constant_505154" type="Const" version="opset1">
33
+ <data element_type="i32" shape="" offset="0" size="4" />
34
+ <output>
35
+ <port id="0" precision="I32" />
36
+ </output>
37
+ </layer>
38
+ <layer id="5" name="StringTensorUnpack_505142" type="StringTensorUnpack" version="extension">
39
+ <data mode="begins_ends" />
40
+ <input>
41
+ <port id="0" precision="STRING">
42
+ <dim>-1</dim>
43
+ </port>
44
+ </input>
45
+ <output>
46
+ <port id="1" precision="I32">
47
+ <dim>-1</dim>
48
+ </port>
49
+ <port id="2" precision="I32">
50
+ <dim>-1</dim>
51
+ </port>
52
+ <port id="3" precision="U8">
53
+ <dim>-1</dim>
54
+ </port>
55
+ </output>
56
+ </layer>
57
+ <layer id="6" name="NormalizeUnicode_505143" type="NormalizeUnicode" version="extension">
58
+ <data normalization_form="NFC" />
59
+ <input>
60
+ <port id="0" precision="I32">
61
+ <dim>-1</dim>
62
+ </port>
63
+ <port id="1" precision="I32">
64
+ <dim>-1</dim>
65
+ </port>
66
+ <port id="2" precision="U8">
67
+ <dim>-1</dim>
68
+ </port>
69
+ </input>
70
+ <output>
71
+ <port id="3" precision="I32">
72
+ <dim>-1</dim>
73
+ </port>
74
+ <port id="4" precision="I32">
75
+ <dim>-1</dim>
76
+ </port>
77
+ <port id="5" precision="U8">
78
+ <dim>-1</dim>
79
+ </port>
80
+ </output>
81
+ </layer>
82
+ <layer id="7" name="Constant_505145" type="Const" version="opset1">
83
+ <data element_type="u8" shape="3" offset="12" size="3" />
84
+ <output>
85
+ <port id="0" precision="U8">
86
+ <dim>3</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="8" name="Constant_505147" type="Const" version="opset1">
91
+ <data element_type="u8" shape="1" offset="15" size="1" />
92
+ <output>
93
+ <port id="0" precision="U8">
94
+ <dim>1</dim>
95
+ </port>
96
+ </output>
97
+ </layer>
98
+ <layer id="9" name="RegexNormalization_505148" type="RegexNormalization" version="extension">
99
+ <data global_replace="true" />
100
+ <input>
101
+ <port id="0" precision="I32">
102
+ <dim>-1</dim>
103
+ </port>
104
+ <port id="1" precision="I32">
105
+ <dim>-1</dim>
106
+ </port>
107
+ <port id="2" precision="U8">
108
+ <dim>-1</dim>
109
+ </port>
110
+ <port id="3" precision="U8">
111
+ <dim>3</dim>
112
+ </port>
113
+ <port id="4" precision="U8">
114
+ <dim>1</dim>
115
+ </port>
116
+ </input>
117
+ <output>
118
+ <port id="5" precision="I32">
119
+ <dim>-1</dim>
120
+ </port>
121
+ <port id="6" precision="I32">
122
+ <dim>-1</dim>
123
+ </port>
124
+ <port id="7" precision="U8">
125
+ <dim>-1</dim>
126
+ </port>
127
+ </output>
128
+ </layer>
129
+ <layer id="10" name="CaseFold_505149" type="CaseFold" version="extension">
130
+ <data encoding="utf-8" />
131
+ <input>
132
+ <port id="0" precision="I32">
133
+ <dim>-1</dim>
134
+ </port>
135
+ <port id="1" precision="I32">
136
+ <dim>-1</dim>
137
+ </port>
138
+ <port id="2" precision="U8">
139
+ <dim>-1</dim>
140
+ </port>
141
+ </input>
142
+ <output>
143
+ <port id="3" precision="I32">
144
+ <dim>-1</dim>
145
+ </port>
146
+ <port id="4" precision="I32">
147
+ <dim>-1</dim>
148
+ </port>
149
+ <port id="5" precision="U8">
150
+ <dim>-1</dim>
151
+ </port>
152
+ </output>
153
+ </layer>
154
+ <layer id="11" name="ShapeOf_505150" type="ShapeOf" version="opset3">
155
+ <data output_type="i64" />
156
+ <input>
157
+ <port id="0" precision="I32">
158
+ <dim>-1</dim>
159
+ </port>
160
+ </input>
161
+ <output>
162
+ <port id="1" precision="I64">
163
+ <dim>1</dim>
164
+ </port>
165
+ </output>
166
+ </layer>
167
+ <layer id="12" name="Constant_505151" type="Const" version="opset1">
168
+ <data element_type="i32" shape="" offset="0" size="4" />
169
+ <output>
170
+ <port id="0" precision="I32" />
171
+ </output>
172
+ </layer>
173
+ <layer id="13" name="Constant_505152" type="Const" version="opset1">
174
+ <data element_type="i32" shape="" offset="0" size="4" />
175
+ <output>
176
+ <port id="0" precision="I32" />
177
+ </output>
178
+ </layer>
179
+ <layer id="14" name="Gather_505153" type="Gather" version="opset8">
180
+ <data batch_dims="0" />
181
+ <input>
182
+ <port id="0" precision="I64">
183
+ <dim>1</dim>
184
+ </port>
185
+ <port id="1" precision="I32" />
186
+ <port id="2" precision="I32" />
187
+ </input>
188
+ <output>
189
+ <port id="3" precision="I64" />
190
+ </output>
191
+ </layer>
192
+ <layer id="15" name="Constant_505155" type="Const" version="opset1">
193
+ <data element_type="i32" shape="" offset="4" size="4" />
194
+ <output>
195
+ <port id="0" precision="I32" />
196
+ </output>
197
+ </layer>
198
+ <layer id="16" name="Range_505156" type="Range" version="opset4">
199
+ <data output_type="i32" />
200
+ <input>
201
+ <port id="0" precision="I32" />
202
+ <port id="1" precision="I64" />
203
+ <port id="2" precision="I32" />
204
+ </input>
205
+ <output>
206
+ <port id="3" precision="I32">
207
+ <dim>-1</dim>
208
+ </port>
209
+ </output>
210
+ </layer>
211
+ <layer id="17" name="Constant_505158" type="Const" version="opset1">
212
+ <data element_type="i32" shape="" offset="4" size="4" />
213
+ <output>
214
+ <port id="0" precision="I32" />
215
+ </output>
216
+ </layer>
217
+ <layer id="18" name="Constant_505159" type="Const" version="opset1">
218
+ <data element_type="i64" shape="" offset="16" size="8" />
219
+ <output>
220
+ <port id="0" precision="I64" />
221
+ </output>
222
+ </layer>
223
+ <layer id="19" name="Add_505160" type="Add" version="opset1">
224
+ <data auto_broadcast="numpy" />
225
+ <input>
226
+ <port id="0" precision="I64" />
227
+ <port id="1" precision="I64" />
228
+ </input>
229
+ <output>
230
+ <port id="2" precision="I64" />
231
+ </output>
232
+ </layer>
233
+ <layer id="20" name="Constant_505161" type="Const" version="opset1">
234
+ <data element_type="i32" shape="" offset="4" size="4" />
235
+ <output>
236
+ <port id="0" precision="I32" />
237
+ </output>
238
+ </layer>
239
+ <layer id="21" name="Range_505162" type="Range" version="opset4">
240
+ <data output_type="i32" />
241
+ <input>
242
+ <port id="0" precision="I32" />
243
+ <port id="1" precision="I64" />
244
+ <port id="2" precision="I32" />
245
+ </input>
246
+ <output>
247
+ <port id="3" precision="I32">
248
+ <dim>-1</dim>
249
+ </port>
250
+ </output>
251
+ </layer>
252
+ <layer id="22" name="Constant_505225" type="Const" version="opset1">
253
+ <data element_type="u8" shape="57" offset="24" size="57" />
254
+ <output>
255
+ <port id="0" precision="U8">
256
+ <dim>57</dim>
257
+ </port>
258
+ </output>
259
+ </layer>
260
+ <layer id="23" name="RegexSplit_505226" type="RegexSplit" version="extension">
261
+ <data behaviour="remove" invert="true" max_splits="-1" />
262
+ <input>
263
+ <port id="0" precision="I32">
264
+ <dim>-1</dim>
265
+ </port>
266
+ <port id="1" precision="I32">
267
+ <dim>-1</dim>
268
+ </port>
269
+ <port id="2" precision="I32">
270
+ <dim>-1</dim>
271
+ </port>
272
+ <port id="3" precision="I32">
273
+ <dim>-1</dim>
274
+ </port>
275
+ <port id="4" precision="U8">
276
+ <dim>-1</dim>
277
+ </port>
278
+ <port id="5" precision="U8">
279
+ <dim>57</dim>
280
+ </port>
281
+ </input>
282
+ <output>
283
+ <port id="6" precision="I32">
284
+ <dim>-1</dim>
285
+ </port>
286
+ <port id="7" precision="I32">
287
+ <dim>-1</dim>
288
+ </port>
289
+ <port id="8" precision="I32">
290
+ <dim>-1</dim>
291
+ </port>
292
+ <port id="9" precision="I32">
293
+ <dim>-1</dim>
294
+ </port>
295
+ <port id="10" precision="U8">
296
+ <dim>-1</dim>
297
+ </port>
298
+ </output>
299
+ </layer>
300
+ <layer id="24" name="Constant_505228" type="Const" version="opset1">
301
+ <data element_type="u8" shape="64" offset="81" size="64" />
302
+ <output>
303
+ <port id="0" precision="U8">
304
+ <dim>64</dim>
305
+ </port>
306
+ </output>
307
+ </layer>
308
+ <layer id="25" name="RegexSplit_505229" type="RegexSplit" version="extension">
309
+ <data behaviour="isolate" invert="false" max_splits="-1" />
310
+ <input>
311
+ <port id="0" precision="I32">
312
+ <dim>-1</dim>
313
+ </port>
314
+ <port id="1" precision="I32">
315
+ <dim>-1</dim>
316
+ </port>
317
+ <port id="2" precision="I32">
318
+ <dim>-1</dim>
319
+ </port>
320
+ <port id="3" precision="I32">
321
+ <dim>-1</dim>
322
+ </port>
323
+ <port id="4" precision="U8">
324
+ <dim>-1</dim>
325
+ </port>
326
+ <port id="5" precision="U8">
327
+ <dim>64</dim>
328
+ </port>
329
+ </input>
330
+ <output>
331
+ <port id="6" precision="I32">
332
+ <dim>-1</dim>
333
+ </port>
334
+ <port id="7" precision="I32">
335
+ <dim>-1</dim>
336
+ </port>
337
+ <port id="8" precision="I32">
338
+ <dim>-1</dim>
339
+ </port>
340
+ <port id="9" precision="I32">
341
+ <dim>-1</dim>
342
+ </port>
343
+ <port id="10" precision="U8">
344
+ <dim>-1</dim>
345
+ </port>
346
+ </output>
347
+ </layer>
348
+ <layer id="26" name="BytesToChars_505230" type="BytesToChars" version="extension">
349
+ <input>
350
+ <port id="0" precision="I32">
351
+ <dim>-1</dim>
352
+ </port>
353
+ <port id="1" precision="I32">
354
+ <dim>-1</dim>
355
+ </port>
356
+ <port id="2" precision="I32">
357
+ <dim>-1</dim>
358
+ </port>
359
+ <port id="3" precision="I32">
360
+ <dim>-1</dim>
361
+ </port>
362
+ <port id="4" precision="U8">
363
+ <dim>-1</dim>
364
+ </port>
365
+ </input>
366
+ <output>
367
+ <port id="5" precision="I32">
368
+ <dim>-1</dim>
369
+ </port>
370
+ <port id="6" precision="I32">
371
+ <dim>-1</dim>
372
+ </port>
373
+ <port id="7" precision="I32">
374
+ <dim>-1</dim>
375
+ </port>
376
+ <port id="8" precision="I32">
377
+ <dim>-1</dim>
378
+ </port>
379
+ <port id="9" precision="U8">
380
+ <dim>-1</dim>
381
+ </port>
382
+ </output>
383
+ </layer>
384
+ <layer id="27" name="Constant_505232" type="Const" version="opset1">
385
+ <data element_type="u8" shape="626345" offset="145" size="626345" />
386
+ <output>
387
+ <port id="0" precision="U8">
388
+ <dim>626345</dim>
389
+ </port>
390
+ </output>
391
+ </layer>
392
+ <layer id="28" name="StringTensorUnpack_505233" type="StringTensorUnpack" version="extension">
393
+ <data mode="begins_ends" />
394
+ <input>
395
+ <port id="0" precision="U8">
396
+ <dim>626345</dim>
397
+ </port>
398
+ </input>
399
+ <output>
400
+ <port id="1" precision="I32">
401
+ <dim>-1</dim>
402
+ </port>
403
+ <port id="2" precision="I32">
404
+ <dim>-1</dim>
405
+ </port>
406
+ <port id="3" precision="U8">
407
+ <dim>-1</dim>
408
+ </port>
409
+ </output>
410
+ </layer>
411
+ <layer id="29" name="Constant_505235" type="Const" version="opset1">
412
+ <data element_type="u8" shape="671295" offset="626490" size="671295" />
413
+ <output>
414
+ <port id="0" precision="U8">
415
+ <dim>671295</dim>
416
+ </port>
417
+ </output>
418
+ </layer>
419
+ <layer id="30" name="StringTensorUnpack_505236" type="StringTensorUnpack" version="extension">
420
+ <data mode="begins_ends" />
421
+ <input>
422
+ <port id="0" precision="U8">
423
+ <dim>671295</dim>
424
+ </port>
425
+ </input>
426
+ <output>
427
+ <port id="1" precision="I32">
428
+ <dim>-1</dim>
429
+ </port>
430
+ <port id="2" precision="I32">
431
+ <dim>-1</dim>
432
+ </port>
433
+ <port id="3" precision="U8">
434
+ <dim>-1</dim>
435
+ </port>
436
+ </output>
437
+ </layer>
438
+ <layer id="31" name="BPETokenizer_505237" type="BPETokenizer" version="extension">
439
+ <data unk_token="&lt;|endoftext|>" fuse_unk="false" suffix_indicator="" end_suffix="&lt;/w>" byte_fallback="false" />
440
+ <input>
441
+ <port id="0" precision="I32">
442
+ <dim>-1</dim>
443
+ </port>
444
+ <port id="1" precision="I32">
445
+ <dim>-1</dim>
446
+ </port>
447
+ <port id="2" precision="I32">
448
+ <dim>-1</dim>
449
+ </port>
450
+ <port id="3" precision="I32">
451
+ <dim>-1</dim>
452
+ </port>
453
+ <port id="4" precision="U8">
454
+ <dim>-1</dim>
455
+ </port>
456
+ <port id="5" precision="I32">
457
+ <dim>-1</dim>
458
+ </port>
459
+ <port id="6" precision="I32">
460
+ <dim>-1</dim>
461
+ </port>
462
+ <port id="7" precision="U8">
463
+ <dim>-1</dim>
464
+ </port>
465
+ <port id="8" precision="I32">
466
+ <dim>-1</dim>
467
+ </port>
468
+ <port id="9" precision="I32">
469
+ <dim>-1</dim>
470
+ </port>
471
+ <port id="10" precision="U8">
472
+ <dim>-1</dim>
473
+ </port>
474
+ </input>
475
+ <output>
476
+ <port id="11" precision="I32">
477
+ <dim>-1</dim>
478
+ </port>
479
+ <port id="12" precision="I32">
480
+ <dim>-1</dim>
481
+ </port>
482
+ <port id="13" precision="I32">
483
+ <dim>-1</dim>
484
+ </port>
485
+ </output>
486
+ </layer>
487
+ <layer id="32" name="Subtract_505238" type="Subtract" version="opset1">
488
+ <data auto_broadcast="numpy" />
489
+ <input>
490
+ <port id="0" precision="I32">
491
+ <dim>-1</dim>
492
+ </port>
493
+ <port id="1" precision="I32">
494
+ <dim>-1</dim>
495
+ </port>
496
+ </input>
497
+ <output>
498
+ <port id="2" precision="I32">
499
+ <dim>-1</dim>
500
+ </port>
501
+ </output>
502
+ </layer>
503
+ <layer id="33" name="Constant_505239" type="Const" version="opset1">
504
+ <data element_type="i32" shape="" offset="1297785" size="4" />
505
+ <output>
506
+ <port id="0" precision="I32" />
507
+ </output>
508
+ </layer>
509
+ <layer id="34" name="Minimum_505240" type="Minimum" version="opset1">
510
+ <data auto_broadcast="numpy" />
511
+ <input>
512
+ <port id="0" precision="I32">
513
+ <dim>-1</dim>
514
+ </port>
515
+ <port id="1" precision="I32" />
516
+ </input>
517
+ <output>
518
+ <port id="2" precision="I32">
519
+ <dim>-1</dim>
520
+ </port>
521
+ </output>
522
+ </layer>
523
+ <layer id="35" name="Add_505241" type="Add" version="opset1">
524
+ <data auto_broadcast="numpy" />
525
+ <input>
526
+ <port id="0" precision="I32">
527
+ <dim>-1</dim>
528
+ </port>
529
+ <port id="1" precision="I32">
530
+ <dim>-1</dim>
531
+ </port>
532
+ </input>
533
+ <output>
534
+ <port id="2" precision="I32">
535
+ <dim>-1</dim>
536
+ </port>
537
+ </output>
538
+ </layer>
539
+ <layer id="36" name="Constant_505245" type="Const" version="opset1">
540
+ <data element_type="i32" shape="" offset="0" size="4" />
541
+ <output>
542
+ <port id="0" precision="I32" />
543
+ </output>
544
+ </layer>
545
+ <layer id="37" name="Constant_505246" type="Const" version="opset1">
546
+ <data element_type="i32" shape="" offset="4" size="4" />
547
+ <output>
548
+ <port id="0" precision="I32" />
549
+ </output>
550
+ </layer>
551
+ <layer id="38" name="Constant_505247" type="Const" version="opset1">
552
+ <data element_type="i32" shape="1" offset="1297789" size="4" />
553
+ <output>
554
+ <port id="0" precision="I32">
555
+ <dim>1</dim>
556
+ </port>
557
+ </output>
558
+ </layer>
559
+ <layer id="39" name="Constant_505248" type="Const" version="opset1">
560
+ <data element_type="i32" shape="3" offset="1297793" size="12" />
561
+ <output>
562
+ <port id="0" precision="I32">
563
+ <dim>3</dim>
564
+ </port>
565
+ </output>
566
+ </layer>
567
+ <layer id="40" name="CombineSegments_505249" type="CombineSegments" version="extension">
568
+ <input>
569
+ <port id="0" precision="I32" />
570
+ <port id="1" precision="I32" />
571
+ <port id="2" precision="I32">
572
+ <dim>1</dim>
573
+ </port>
574
+ <port id="3" precision="I32">
575
+ <dim>-1</dim>
576
+ </port>
577
+ <port id="4" precision="I32">
578
+ <dim>-1</dim>
579
+ </port>
580
+ <port id="5" precision="I32">
581
+ <dim>-1</dim>
582
+ </port>
583
+ <port id="6" precision="I32" />
584
+ <port id="7" precision="I32" />
585
+ <port id="8" precision="I32">
586
+ <dim>1</dim>
587
+ </port>
588
+ <port id="9" precision="I32">
589
+ <dim>3</dim>
590
+ </port>
591
+ </input>
592
+ <output>
593
+ <port id="10" precision="I32">
594
+ <dim>-1</dim>
595
+ </port>
596
+ <port id="11" precision="I32">
597
+ <dim>-1</dim>
598
+ </port>
599
+ <port id="12" precision="I32">
600
+ <dim>-1</dim>
601
+ </port>
602
+ <port id="13" precision="I32">
603
+ <dim>-1</dim>
604
+ </port>
605
+ <port id="14" precision="I32">
606
+ <dim>-1</dim>
607
+ </port>
608
+ <port id="15" precision="I32">
609
+ <dim>-1</dim>
610
+ </port>
611
+ </output>
612
+ </layer>
613
+ <layer id="41" name="Subtract_505250" type="Subtract" version="opset1">
614
+ <data auto_broadcast="numpy" />
615
+ <input>
616
+ <port id="0" precision="I32">
617
+ <dim>-1</dim>
618
+ </port>
619
+ <port id="1" precision="I32">
620
+ <dim>-1</dim>
621
+ </port>
622
+ </input>
623
+ <output>
624
+ <port id="2" precision="I32">
625
+ <dim>-1</dim>
626
+ </port>
627
+ </output>
628
+ </layer>
629
+ <layer id="42" name="Constant_505251" type="Const" version="opset1">
630
+ <data element_type="i32" shape="" offset="0" size="4" />
631
+ <output>
632
+ <port id="0" precision="I32" />
633
+ </output>
634
+ </layer>
635
+ <layer id="43" name="ReduceMax_505252" type="ReduceMax" version="opset1">
636
+ <data keep_dims="false" />
637
+ <input>
638
+ <port id="0" precision="I32">
639
+ <dim>-1</dim>
640
+ </port>
641
+ <port id="1" precision="I32" />
642
+ </input>
643
+ <output>
644
+ <port id="2" precision="I32" />
645
+ </output>
646
+ </layer>
647
+ <layer id="44" name="Constant_505253" type="Const" version="opset1">
648
+ <data element_type="i32" shape="" offset="1297789" size="4" />
649
+ <output>
650
+ <port id="0" precision="I32" />
651
+ </output>
652
+ </layer>
653
+ <layer id="45" name="RaggedToDense_505254" type="RaggedToDense" version="extension">
654
+ <input>
655
+ <port id="0" precision="I32">
656
+ <dim>-1</dim>
657
+ </port>
658
+ <port id="1" precision="I32">
659
+ <dim>-1</dim>
660
+ </port>
661
+ <port id="2" precision="I32">
662
+ <dim>-1</dim>
663
+ </port>
664
+ <port id="3" precision="I32" />
665
+ <port id="4" precision="I32" />
666
+ </input>
667
+ <output>
668
+ <port id="5" precision="I32">
669
+ <dim>-1</dim>
670
+ <dim>-1</dim>
671
+ </port>
672
+ <port id="6" precision="BOOL">
673
+ <dim>-1</dim>
674
+ <dim>-1</dim>
675
+ </port>
676
+ </output>
677
+ </layer>
678
+ <layer id="46" name="Convert_505255" type="Convert" version="opset1">
679
+ <data destination_type="i32" />
680
+ <input>
681
+ <port id="0" precision="BOOL">
682
+ <dim>-1</dim>
683
+ <dim>-1</dim>
684
+ </port>
685
+ </input>
686
+ <output>
687
+ <port id="1" precision="I32">
688
+ <dim>-1</dim>
689
+ <dim>-1</dim>
690
+ </port>
691
+ </output>
692
+ </layer>
693
+ <layer id="47" name="Convert_505255" type="Convert" version="opset1">
694
+ <data destination_type="i64" />
695
+ <input>
696
+ <port id="0" precision="I32">
697
+ <dim>-1</dim>
698
+ <dim>-1</dim>
699
+ </port>
700
+ </input>
701
+ <output>
702
+ <port id="1" precision="I64" names="attention_mask">
703
+ <dim>-1</dim>
704
+ <dim>-1</dim>
705
+ </port>
706
+ </output>
707
+ </layer>
708
+ <layer id="49" name="RaggedToDense_505254.0" type="Convert" version="opset1">
709
+ <data destination_type="i64" />
710
+ <input>
711
+ <port id="0" precision="I32">
712
+ <dim>-1</dim>
713
+ <dim>-1</dim>
714
+ </port>
715
+ </input>
716
+ <output>
717
+ <port id="1" precision="I64" names="input_ids">
718
+ <dim>-1</dim>
719
+ <dim>-1</dim>
720
+ </port>
721
+ </output>
722
+ </layer>
723
+ <layer id="50" name="Result_505258" type="Result" version="opset1">
724
+ <input>
725
+ <port id="0" precision="I64">
726
+ <dim>-1</dim>
727
+ <dim>-1</dim>
728
+ </port>
729
+ </input>
730
+ </layer>
731
+ <layer id="48" name="Result_505260" type="Result" version="opset1">
732
+ <input>
733
+ <port id="0" precision="I64">
734
+ <dim>-1</dim>
735
+ <dim>-1</dim>
736
+ </port>
737
+ </input>
738
+ </layer>
739
+ </layers>
740
+ <edges>
741
+ <edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
742
+ <edge from-layer="1" from-port="0" to-layer="40" to-port="0" />
743
+ <edge from-layer="2" from-port="0" to-layer="40" to-port="1" />
744
+ <edge from-layer="3" from-port="0" to-layer="40" to-port="2" />
745
+ <edge from-layer="4" from-port="0" to-layer="16" to-port="0" />
746
+ <edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
747
+ <edge from-layer="5" from-port="2" to-layer="6" to-port="1" />
748
+ <edge from-layer="5" from-port="3" to-layer="6" to-port="2" />
749
+ <edge from-layer="6" from-port="3" to-layer="9" to-port="0" />
750
+ <edge from-layer="6" from-port="4" to-layer="9" to-port="1" />
751
+ <edge from-layer="6" from-port="5" to-layer="9" to-port="2" />
752
+ <edge from-layer="7" from-port="0" to-layer="9" to-port="3" />
753
+ <edge from-layer="8" from-port="0" to-layer="9" to-port="4" />
754
+ <edge from-layer="9" from-port="5" to-layer="10" to-port="0" />
755
+ <edge from-layer="9" from-port="6" to-layer="10" to-port="1" />
756
+ <edge from-layer="9" from-port="7" to-layer="10" to-port="2" />
757
+ <edge from-layer="10" from-port="3" to-layer="11" to-port="0" />
758
+ <edge from-layer="10" from-port="3" to-layer="23" to-port="2" />
759
+ <edge from-layer="10" from-port="5" to-layer="23" to-port="4" />
760
+ <edge from-layer="10" from-port="4" to-layer="23" to-port="3" />
761
+ <edge from-layer="11" from-port="1" to-layer="14" to-port="0" />
762
+ <edge from-layer="12" from-port="0" to-layer="14" to-port="1" />
763
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="2" />
764
+ <edge from-layer="14" from-port="3" to-layer="16" to-port="1" />
765
+ <edge from-layer="14" from-port="3" to-layer="19" to-port="0" />
766
+ <edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
767
+ <edge from-layer="16" from-port="3" to-layer="23" to-port="0" />
768
+ <edge from-layer="17" from-port="0" to-layer="21" to-port="0" />
769
+ <edge from-layer="18" from-port="0" to-layer="19" to-port="1" />
770
+ <edge from-layer="19" from-port="2" to-layer="21" to-port="1" />
771
+ <edge from-layer="20" from-port="0" to-layer="21" to-port="2" />
772
+ <edge from-layer="21" from-port="3" to-layer="23" to-port="1" />
773
+ <edge from-layer="22" from-port="0" to-layer="23" to-port="5" />
774
+ <edge from-layer="23" from-port="6" to-layer="25" to-port="0" />
775
+ <edge from-layer="23" from-port="7" to-layer="25" to-port="1" />
776
+ <edge from-layer="23" from-port="8" to-layer="25" to-port="2" />
777
+ <edge from-layer="23" from-port="9" to-layer="25" to-port="3" />
778
+ <edge from-layer="23" from-port="10" to-layer="25" to-port="4" />
779
+ <edge from-layer="24" from-port="0" to-layer="25" to-port="5" />
780
+ <edge from-layer="25" from-port="6" to-layer="26" to-port="0" />
781
+ <edge from-layer="25" from-port="7" to-layer="26" to-port="1" />
782
+ <edge from-layer="25" from-port="8" to-layer="26" to-port="2" />
783
+ <edge from-layer="25" from-port="9" to-layer="26" to-port="3" />
784
+ <edge from-layer="25" from-port="10" to-layer="26" to-port="4" />
785
+ <edge from-layer="26" from-port="5" to-layer="31" to-port="0" />
786
+ <edge from-layer="26" from-port="6" to-layer="31" to-port="1" />
787
+ <edge from-layer="26" from-port="7" to-layer="31" to-port="2" />
788
+ <edge from-layer="26" from-port="8" to-layer="31" to-port="3" />
789
+ <edge from-layer="26" from-port="9" to-layer="31" to-port="4" />
790
+ <edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
791
+ <edge from-layer="28" from-port="1" to-layer="31" to-port="5" />
792
+ <edge from-layer="28" from-port="2" to-layer="31" to-port="6" />
793
+ <edge from-layer="28" from-port="3" to-layer="31" to-port="7" />
794
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="0" />
795
+ <edge from-layer="30" from-port="1" to-layer="31" to-port="8" />
796
+ <edge from-layer="30" from-port="2" to-layer="31" to-port="9" />
797
+ <edge from-layer="30" from-port="3" to-layer="31" to-port="10" />
798
+ <edge from-layer="31" from-port="12" to-layer="32" to-port="0" />
799
+ <edge from-layer="31" from-port="11" to-layer="32" to-port="1" />
800
+ <edge from-layer="31" from-port="11" to-layer="35" to-port="0" />
801
+ <edge from-layer="31" from-port="11" to-layer="40" to-port="3" />
802
+ <edge from-layer="31" from-port="13" to-layer="40" to-port="5" />
803
+ <edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
804
+ <edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
805
+ <edge from-layer="34" from-port="2" to-layer="35" to-port="1" />
806
+ <edge from-layer="35" from-port="2" to-layer="40" to-port="4" />
807
+ <edge from-layer="36" from-port="0" to-layer="40" to-port="6" />
808
+ <edge from-layer="37" from-port="0" to-layer="40" to-port="7" />
809
+ <edge from-layer="38" from-port="0" to-layer="40" to-port="8" />
810
+ <edge from-layer="39" from-port="0" to-layer="40" to-port="9" />
811
+ <edge from-layer="40" from-port="11" to-layer="41" to-port="0" />
812
+ <edge from-layer="40" from-port="10" to-layer="41" to-port="1" />
813
+ <edge from-layer="40" from-port="10" to-layer="45" to-port="0" />
814
+ <edge from-layer="40" from-port="11" to-layer="45" to-port="1" />
815
+ <edge from-layer="40" from-port="12" to-layer="45" to-port="2" />
816
+ <edge from-layer="41" from-port="2" to-layer="43" to-port="0" />
817
+ <edge from-layer="42" from-port="0" to-layer="43" to-port="1" />
818
+ <edge from-layer="43" from-port="2" to-layer="45" to-port="3" />
819
+ <edge from-layer="44" from-port="0" to-layer="45" to-port="4" />
820
+ <edge from-layer="45" from-port="6" to-layer="46" to-port="0" />
821
+ <edge from-layer="45" from-port="5" to-layer="49" to-port="0" />
822
+ <edge from-layer="46" from-port="1" to-layer="47" to-port="0" />
823
+ <edge from-layer="47" from-port="1" to-layer="48" to-port="0" />
824
+ <edge from-layer="49" from-port="1" to-layer="50" to-port="0" />
825
+ </edges>
826
+ <rt_info>
827
+ <eos_token_id value="49407" />
828
+ </rt_info>
829
+ </net>
tokenizer/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|startoftext|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|endoftext|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "49406": {
5
+ "content": "<|startoftext|>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "49407": {
13
+ "content": "<|endoftext|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ }
20
+ },
21
+ "bos_token": "<|startoftext|>",
22
+ "clean_up_tokenization_spaces": true,
23
+ "do_lower_case": true,
24
+ "eos_token": "<|endoftext|>",
25
+ "errors": "replace",
26
+ "model_max_length": 77,
27
+ "pad_token": "<|endoftext|>",
28
+ "tokenizer_class": "CLIPTokenizer",
29
+ "unk_token": "<|endoftext|>"
30
+ }
tokenizer/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
unet/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "UNet2DConditionModel",
3
+ "_diffusers_version": "0.23.0",
4
+ "_name_or_path": "C:\\Users\\circulus\\.cache\\huggingface\\hub\\models--circulus--LCM-canvers-real-v3.9.1\\snapshots\\22e2a585544ef8a80085f074461cc93c5c701b67\\unet",
5
+ "act_fn": "silu",
6
+ "addition_embed_type": null,
7
+ "addition_embed_type_num_heads": 64,
8
+ "addition_time_embed_dim": null,
9
+ "attention_head_dim": 8,
10
+ "attention_type": "default",
11
+ "block_out_channels": [
12
+ 320,
13
+ 640,
14
+ 1280,
15
+ 1280
16
+ ],
17
+ "center_input_sample": false,
18
+ "class_embed_type": null,
19
+ "class_embeddings_concat": false,
20
+ "conv_in_kernel": 3,
21
+ "conv_out_kernel": 3,
22
+ "cross_attention_dim": 768,
23
+ "cross_attention_norm": null,
24
+ "down_block_types": [
25
+ "CrossAttnDownBlock2D",
26
+ "CrossAttnDownBlock2D",
27
+ "CrossAttnDownBlock2D",
28
+ "DownBlock2D"
29
+ ],
30
+ "downsample_padding": 1,
31
+ "dropout": 0.0,
32
+ "dual_cross_attention": false,
33
+ "encoder_hid_dim": null,
34
+ "encoder_hid_dim_type": null,
35
+ "flip_sin_to_cos": true,
36
+ "freq_shift": 0,
37
+ "in_channels": 4,
38
+ "layers_per_block": 2,
39
+ "mid_block_only_cross_attention": null,
40
+ "mid_block_scale_factor": 1,
41
+ "mid_block_type": "UNetMidBlock2DCrossAttn",
42
+ "norm_eps": 1e-05,
43
+ "norm_num_groups": 32,
44
+ "num_attention_heads": null,
45
+ "num_class_embeds": null,
46
+ "only_cross_attention": false,
47
+ "out_channels": 4,
48
+ "projection_class_embeddings_input_dim": null,
49
+ "resnet_out_scale_factor": 1.0,
50
+ "resnet_skip_time_act": false,
51
+ "resnet_time_scale_shift": "default",
52
+ "reverse_transformer_layers_per_block": null,
53
+ "sample_size": 64,
54
+ "time_cond_proj_dim": 256,
55
+ "time_embedding_act_fn": null,
56
+ "time_embedding_dim": null,
57
+ "time_embedding_type": "positional",
58
+ "timestep_post_act": null,
59
+ "transformer_layers_per_block": 1,
60
+ "up_block_types": [
61
+ "UpBlock2D",
62
+ "CrossAttnUpBlock2D",
63
+ "CrossAttnUpBlock2D",
64
+ "CrossAttnUpBlock2D"
65
+ ],
66
+ "upcast_attention": false,
67
+ "use_linear_projection": false
68
+ }
unet/openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5836b131efcd1a6c958401e4f44801889d2c24567fd6106bc7bd273ded16a22d
3
+ size 1719206436
unet/openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff
 
vae_decoder/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "AutoencoderKL",
3
+ "_diffusers_version": "0.23.0",
4
+ "_name_or_path": "C:\\Users\\circulus\\.cache\\huggingface\\hub\\models--circulus--LCM-canvers-real-v3.9.1\\snapshots\\22e2a585544ef8a80085f074461cc93c5c701b67\\vae",
5
+ "act_fn": "silu",
6
+ "block_out_channels": [
7
+ 128,
8
+ 256,
9
+ 512,
10
+ 512
11
+ ],
12
+ "down_block_types": [
13
+ "DownEncoderBlock2D",
14
+ "DownEncoderBlock2D",
15
+ "DownEncoderBlock2D",
16
+ "DownEncoderBlock2D"
17
+ ],
18
+ "force_upcast": true,
19
+ "in_channels": 3,
20
+ "latent_channels": 4,
21
+ "latents_mean": null,
22
+ "latents_std": null,
23
+ "layers_per_block": 2,
24
+ "norm_num_groups": 32,
25
+ "out_channels": 3,
26
+ "sample_size": 512,
27
+ "scaling_factor": 0.18215,
28
+ "up_block_types": [
29
+ "UpDecoderBlock2D",
30
+ "UpDecoderBlock2D",
31
+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D"
33
+ ]
34
+ }
vae_decoder/openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2048feb75fedcd7e89926b54dbbfcd6239cfadbc4b226f09adb0fc9506023b5
3
+ size 98980602
vae_decoder/openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff
 
vae_encoder/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "AutoencoderKL",
3
+ "_diffusers_version": "0.23.0",
4
+ "_name_or_path": "C:\\Users\\circulus\\.cache\\huggingface\\hub\\models--circulus--LCM-canvers-real-v3.9.1\\snapshots\\22e2a585544ef8a80085f074461cc93c5c701b67\\vae",
5
+ "act_fn": "silu",
6
+ "block_out_channels": [
7
+ 128,
8
+ 256,
9
+ 512,
10
+ 512
11
+ ],
12
+ "down_block_types": [
13
+ "DownEncoderBlock2D",
14
+ "DownEncoderBlock2D",
15
+ "DownEncoderBlock2D",
16
+ "DownEncoderBlock2D"
17
+ ],
18
+ "force_upcast": true,
19
+ "in_channels": 3,
20
+ "latent_channels": 4,
21
+ "latents_mean": null,
22
+ "latents_std": null,
23
+ "layers_per_block": 2,
24
+ "norm_num_groups": 32,
25
+ "out_channels": 3,
26
+ "sample_size": 512,
27
+ "scaling_factor": 0.18215,
28
+ "up_block_types": [
29
+ "UpDecoderBlock2D",
30
+ "UpDecoderBlock2D",
31
+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D"
33
+ ]
34
+ }
vae_encoder/openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:422c504a0eedba206758c728e609474b7229ac85a41294046eb88b4092fbb76d
3
+ size 68327540
vae_encoder/openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff