|
1 | 1 | {
|
2 | 2 | "cells": [
|
3 | 3 | {
|
4 |
| - "attachments": {}, |
5 | 4 | "cell_type": "markdown",
|
6 | 5 | "id": "ebc080c9-4580-4a8c-bbfb-e391d2871b10",
|
7 | 6 | "metadata": {},
|
|
42 | 41 | ]
|
43 | 42 | },
|
44 | 43 | {
|
45 |
| - "attachments": {}, |
46 | 44 | "cell_type": "markdown",
|
47 | 45 | "id": "4a41b1c9",
|
48 | 46 | "metadata": {},
|
|
63 | 61 | ]
|
64 | 62 | },
|
65 | 63 | {
|
66 |
| - "attachments": {}, |
67 | 64 | "cell_type": "markdown",
|
68 | 65 | "id": "7509c1ba-a099-49fd-a1c5-7118f2d0c4e6",
|
69 | 66 | "metadata": {},
|
|
91 | 88 | ]
|
92 | 89 | },
|
93 | 90 | {
|
94 |
| - "attachments": {}, |
95 | 91 | "cell_type": "markdown",
|
96 | 92 | "id": "8648f92f",
|
97 | 93 | "metadata": {},
|
|
107 | 103 | "outputs": [],
|
108 | 104 | "source": [
|
109 | 105 | "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu \\\n",
|
110 |
| - "transformers \"torch>=2.1\" \"diffusers>=0.26\" \"gradio>=4.19\" \"openvino>=2024.0.0\" \"einops\" torchvision \"peft==0.6.2\" \"nncf>=2.9.0\" \"protobuf==3.20.3\" \"insightface\" \"onnxruntime\"" |
| 106 | + "transformers \"torch>=2.1\" \"diffusers>=0.26,<0.30\" \"gradio>=4.19\" \"openvino>=2024.0.0\" \"einops\" torchvision \"peft==0.6.2\" \"nncf>=2.9.0\" \"protobuf==3.20.3\" \"insightface\" \"onnxruntime\"" |
111 | 107 | ]
|
112 | 108 | },
|
113 | 109 | {
|
114 |
| - "attachments": {}, |
115 | 110 | "cell_type": "markdown",
|
116 | 111 | "id": "5959be5b",
|
117 | 112 | "metadata": {},
|
|
137 | 132 | ]
|
138 | 133 | },
|
139 | 134 | {
|
140 |
| - "attachments": {}, |
141 | 135 | "cell_type": "markdown",
|
142 | 136 | "id": "4ead4649-6aea-4c52-bec7-a87dd1a1251c",
|
143 | 137 | "metadata": {},
|
|
232 | 226 | ]
|
233 | 227 | },
|
234 | 228 | {
|
235 |
| - "attachments": {}, |
236 | 229 | "cell_type": "markdown",
|
237 | 230 | "id": "7719901d-caed-4c4f-b89f-32eac02a4712",
|
238 | 231 | "metadata": {},
|
|
339 | 332 | ]
|
340 | 333 | },
|
341 | 334 | {
|
342 |
| - "attachments": {}, |
343 | 335 | "cell_type": "markdown",
|
344 | 336 | "id": "fb4c8b72-3d6b-4643-ba56-7a3103725bae",
|
345 | 337 | "metadata": {},
|
|
381 | 373 | ]
|
382 | 374 | },
|
383 | 375 | {
|
384 |
| - "attachments": {}, |
385 | 376 | "cell_type": "markdown",
|
386 | 377 | "id": "9c896614-c369-48fe-a04a-65456458c7dd",
|
387 | 378 | "metadata": {},
|
|
512 | 503 | ]
|
513 | 504 | },
|
514 | 505 | {
|
515 |
| - "attachments": {}, |
516 | 506 | "cell_type": "markdown",
|
517 | 507 | "id": "49ae9c7e-15e6-4304-bd93-f493011503d9",
|
518 | 508 | "metadata": {},
|
|
573 | 563 | ]
|
574 | 564 | },
|
575 | 565 | {
|
576 |
| - "attachments": {}, |
577 | 566 | "cell_type": "markdown",
|
578 | 567 | "id": "a74680d5-9bf1-438b-8d3b-bd91a8dc3802",
|
579 | 568 | "metadata": {},
|
|
616 | 605 | ]
|
617 | 606 | },
|
618 | 607 | {
|
619 |
| - "attachments": {}, |
620 | 608 | "cell_type": "markdown",
|
621 | 609 | "id": "61c721a4-de35-4d62-b910-98927486580c",
|
622 | 610 | "metadata": {},
|
|
670 | 658 | ]
|
671 | 659 | },
|
672 | 660 | {
|
673 |
| - "attachments": {}, |
674 | 661 | "cell_type": "markdown",
|
675 | 662 | "id": "c9c9170c",
|
676 | 663 | "metadata": {},
|
|
811 | 798 | ]
|
812 | 799 | },
|
813 | 800 | {
|
814 |
| - "attachments": {}, |
815 | 801 | "cell_type": "markdown",
|
816 | 802 | "id": "ed6bef08-e5c3-4d82-9541-627035413590",
|
817 | 803 | "metadata": {},
|
|
834 | 820 | ]
|
835 | 821 | },
|
836 | 822 | {
|
837 |
| - "attachments": {}, |
838 | 823 | "cell_type": "markdown",
|
839 | 824 | "id": "dda95419",
|
840 | 825 | "metadata": {},
|
|
958 | 943 | ]
|
959 | 944 | },
|
960 | 945 | {
|
961 |
| - "attachments": {}, |
962 | 946 | "cell_type": "markdown",
|
963 | 947 | "id": "235a6c7d-1f5c-4cb2-b3ad-829eee29327f",
|
964 | 948 | "metadata": {},
|
|
1121 | 1105 | },
|
1122 | 1106 | "widgets": {
|
1123 | 1107 | "application/vnd.jupyter.widget-state+json": {
|
1124 |
| - "state": { |
1125 |
| - "0467721282ce4fafa2e51247a212f668": { |
1126 |
| - "model_module": "@jupyter-widgets/controls", |
1127 |
| - "model_module_version": "2.0.0", |
1128 |
| - "model_name": "HTMLStyleModel", |
1129 |
| - "state": { |
1130 |
| - "description_width": "", |
1131 |
| - "font_size": null, |
1132 |
| - "text_color": null |
1133 |
| - } |
1134 |
| - }, |
1135 |
| - "0ec49ddfa9f146d2901e94b77949857a": { |
1136 |
| - "model_module": "@jupyter-widgets/controls", |
1137 |
| - "model_module_version": "2.0.0", |
1138 |
| - "model_name": "HTMLStyleModel", |
1139 |
| - "state": { |
1140 |
| - "description_width": "", |
1141 |
| - "font_size": null, |
1142 |
| - "text_color": null |
1143 |
| - } |
1144 |
| - }, |
1145 |
| - "2c34394034c84b25874b5201c787f324": { |
1146 |
| - "model_module": "@jupyter-widgets/base", |
1147 |
| - "model_module_version": "2.0.0", |
1148 |
| - "model_name": "LayoutModel", |
1149 |
| - "state": {} |
1150 |
| - }, |
1151 |
| - "554e435516ae40cd955f97d31f3e5660": { |
1152 |
| - "model_module": "@jupyter-widgets/controls", |
1153 |
| - "model_module_version": "2.0.0", |
1154 |
| - "model_name": "HTMLStyleModel", |
1155 |
| - "state": { |
1156 |
| - "description_width": "", |
1157 |
| - "font_size": null, |
1158 |
| - "text_color": null |
1159 |
| - } |
1160 |
| - }, |
1161 |
| - "5689358466d74164982ffd20a4ed930c": { |
1162 |
| - "model_module": "@jupyter-widgets/base", |
1163 |
| - "model_module_version": "2.0.0", |
1164 |
| - "model_name": "LayoutModel", |
1165 |
| - "state": {} |
1166 |
| - }, |
1167 |
| - "597da167ab33442e962a2ae7955073ff": { |
1168 |
| - "model_module": "@jupyter-widgets/controls", |
1169 |
| - "model_module_version": "2.0.0", |
1170 |
| - "model_name": "ProgressStyleModel", |
1171 |
| - "state": { |
1172 |
| - "description_width": "" |
1173 |
| - } |
1174 |
| - }, |
1175 |
| - "5c5f12fe5f29477dbc078299553f2bf6": { |
1176 |
| - "model_module": "@jupyter-widgets/controls", |
1177 |
| - "model_module_version": "2.0.0", |
1178 |
| - "model_name": "HBoxModel", |
1179 |
| - "state": { |
1180 |
| - "children": [ |
1181 |
| - "IPY_MODEL_8913d1b1cd01434fb1531b355c257463", |
1182 |
| - "IPY_MODEL_72ab72bbafe94e54a60881ad56820154", |
1183 |
| - "IPY_MODEL_edfb77550e40401bb6fc5a8fb636067d" |
1184 |
| - ], |
1185 |
| - "layout": "IPY_MODEL_e0c22e96ef5f4933b5a6a004d4628de3" |
1186 |
| - } |
1187 |
| - }, |
1188 |
| - "6ba80a643ecc42cbb778cc0c4680dbcd": { |
1189 |
| - "model_module": "@jupyter-widgets/controls", |
1190 |
| - "model_module_version": "2.0.0", |
1191 |
| - "model_name": "DropdownModel", |
1192 |
| - "state": { |
1193 |
| - "_options_labels": [ |
1194 |
| - "CPU", |
1195 |
| - "GPU.0", |
1196 |
| - "GPU.1", |
1197 |
| - "AUTO" |
1198 |
| - ], |
1199 |
| - "description": "Device:", |
1200 |
| - "index": 0, |
1201 |
| - "layout": "IPY_MODEL_a1bce410f46142239253f1ed902321b3", |
1202 |
| - "style": "IPY_MODEL_c5a678567a32460da908c1f25d0b78f4" |
1203 |
| - } |
1204 |
| - }, |
1205 |
| - "7202b9f3ed69466dbcac7c533116be04": { |
1206 |
| - "model_module": "@jupyter-widgets/controls", |
1207 |
| - "model_module_version": "2.0.0", |
1208 |
| - "model_name": "HBoxModel", |
1209 |
| - "state": { |
1210 |
| - "children": [ |
1211 |
| - "IPY_MODEL_ca0f21e671ae42f592f9b7d6e77071d1", |
1212 |
| - "IPY_MODEL_abc9d364c43c4e6dbc4beccf75463db4", |
1213 |
| - "IPY_MODEL_ef6467eb3a714ea18cb3e0e5ec19e767" |
1214 |
| - ], |
1215 |
| - "layout": "IPY_MODEL_84d146eaa43c47e2b5ffff73cdb2f749" |
1216 |
| - } |
1217 |
| - }, |
1218 |
| - "72ab72bbafe94e54a60881ad56820154": { |
1219 |
| - "model_module": "@jupyter-widgets/controls", |
1220 |
| - "model_module_version": "2.0.0", |
1221 |
| - "model_name": "FloatProgressModel", |
1222 |
| - "state": { |
1223 |
| - "bar_style": "success", |
1224 |
| - "layout": "IPY_MODEL_e10589a737b8439fb201e770a77963fe", |
1225 |
| - "max": 7, |
1226 |
| - "style": "IPY_MODEL_c73ec5713dad4c1985a9e42bc52481d9", |
1227 |
| - "value": 7 |
1228 |
| - } |
1229 |
| - }, |
1230 |
| - "84d146eaa43c47e2b5ffff73cdb2f749": { |
1231 |
| - "model_module": "@jupyter-widgets/base", |
1232 |
| - "model_module_version": "2.0.0", |
1233 |
| - "model_name": "LayoutModel", |
1234 |
| - "state": {} |
1235 |
| - }, |
1236 |
| - "8913d1b1cd01434fb1531b355c257463": { |
1237 |
| - "model_module": "@jupyter-widgets/controls", |
1238 |
| - "model_module_version": "2.0.0", |
1239 |
| - "model_name": "HTMLModel", |
1240 |
| - "state": { |
1241 |
| - "layout": "IPY_MODEL_5689358466d74164982ffd20a4ed930c", |
1242 |
| - "style": "IPY_MODEL_0ec49ddfa9f146d2901e94b77949857a", |
1243 |
| - "value": "Loading pipeline components...: 100%" |
1244 |
| - } |
1245 |
| - }, |
1246 |
| - "8ebe6173889e4fc1a26ebfac700536f6": { |
1247 |
| - "model_module": "@jupyter-widgets/output", |
1248 |
| - "model_module_version": "1.0.0", |
1249 |
| - "model_name": "OutputModel", |
1250 |
| - "state": { |
1251 |
| - "layout": "IPY_MODEL_2c34394034c84b25874b5201c787f324", |
1252 |
| - "outputs": [ |
1253 |
| - { |
1254 |
| - "data": { |
1255 |
| - "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Applying Weight Compression <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #0068b5; text-decoration-color: #0068b5\">194/194</span> • <span style=\"color: #0068b5; text-decoration-color: #0068b5\">0:00:03</span> • <span style=\"color: #0068b5; text-decoration-color: #0068b5\">0:00:00</span>\n</pre>\n", |
1256 |
| - "text/plain": "Applying Weight Compression \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100%\u001b[0m \u001b[38;2;0;104;181m194/194\u001b[0m • \u001b[38;2;0;104;181m0:00:03\u001b[0m • \u001b[38;2;0;104;181m0:00:00\u001b[0m\n" |
1257 |
| - }, |
1258 |
| - "metadata": {}, |
1259 |
| - "output_type": "display_data" |
1260 |
| - } |
1261 |
| - ] |
1262 |
| - } |
1263 |
| - }, |
1264 |
| - "92c39ea72a444375adbfd9e55f9d6796": { |
1265 |
| - "model_module": "@jupyter-widgets/base", |
1266 |
| - "model_module_version": "2.0.0", |
1267 |
| - "model_name": "LayoutModel", |
1268 |
| - "state": {} |
1269 |
| - }, |
1270 |
| - "a1bce410f46142239253f1ed902321b3": { |
1271 |
| - "model_module": "@jupyter-widgets/base", |
1272 |
| - "model_module_version": "2.0.0", |
1273 |
| - "model_name": "LayoutModel", |
1274 |
| - "state": {} |
1275 |
| - }, |
1276 |
| - "abc9d364c43c4e6dbc4beccf75463db4": { |
1277 |
| - "model_module": "@jupyter-widgets/controls", |
1278 |
| - "model_module_version": "2.0.0", |
1279 |
| - "model_name": "FloatProgressModel", |
1280 |
| - "state": { |
1281 |
| - "bar_style": "success", |
1282 |
| - "layout": "IPY_MODEL_c7ac4544b06f40fe983da2ab6363683f", |
1283 |
| - "max": 20, |
1284 |
| - "style": "IPY_MODEL_597da167ab33442e962a2ae7955073ff", |
1285 |
| - "value": 20 |
1286 |
| - } |
1287 |
| - }, |
1288 |
| - "be6a0171a78a434495b5ab4bfbd7593e": { |
1289 |
| - "model_module": "@jupyter-widgets/base", |
1290 |
| - "model_module_version": "2.0.0", |
1291 |
| - "model_name": "LayoutModel", |
1292 |
| - "state": {} |
1293 |
| - }, |
1294 |
| - "c501db72dd89454991a6c61b6260fcb8": { |
1295 |
| - "model_module": "@jupyter-widgets/controls", |
1296 |
| - "model_module_version": "2.0.0", |
1297 |
| - "model_name": "HTMLStyleModel", |
1298 |
| - "state": { |
1299 |
| - "description_width": "", |
1300 |
| - "font_size": null, |
1301 |
| - "text_color": null |
1302 |
| - } |
1303 |
| - }, |
1304 |
| - "c5a678567a32460da908c1f25d0b78f4": { |
1305 |
| - "model_module": "@jupyter-widgets/controls", |
1306 |
| - "model_module_version": "2.0.0", |
1307 |
| - "model_name": "DescriptionStyleModel", |
1308 |
| - "state": { |
1309 |
| - "description_width": "" |
1310 |
| - } |
1311 |
| - }, |
1312 |
| - "c73ec5713dad4c1985a9e42bc52481d9": { |
1313 |
| - "model_module": "@jupyter-widgets/controls", |
1314 |
| - "model_module_version": "2.0.0", |
1315 |
| - "model_name": "ProgressStyleModel", |
1316 |
| - "state": { |
1317 |
| - "description_width": "" |
1318 |
| - } |
1319 |
| - }, |
1320 |
| - "c7ac4544b06f40fe983da2ab6363683f": { |
1321 |
| - "model_module": "@jupyter-widgets/base", |
1322 |
| - "model_module_version": "2.0.0", |
1323 |
| - "model_name": "LayoutModel", |
1324 |
| - "state": {} |
1325 |
| - }, |
1326 |
| - "ca0f21e671ae42f592f9b7d6e77071d1": { |
1327 |
| - "model_module": "@jupyter-widgets/controls", |
1328 |
| - "model_module_version": "2.0.0", |
1329 |
| - "model_name": "HTMLModel", |
1330 |
| - "state": { |
1331 |
| - "layout": "IPY_MODEL_f833b7aaf6bf4cdaa3d0ddd1e5c0ce62", |
1332 |
| - "style": "IPY_MODEL_554e435516ae40cd955f97d31f3e5660", |
1333 |
| - "value": "100%" |
1334 |
| - } |
1335 |
| - }, |
1336 |
| - "e0c22e96ef5f4933b5a6a004d4628de3": { |
1337 |
| - "model_module": "@jupyter-widgets/base", |
1338 |
| - "model_module_version": "2.0.0", |
1339 |
| - "model_name": "LayoutModel", |
1340 |
| - "state": {} |
1341 |
| - }, |
1342 |
| - "e10589a737b8439fb201e770a77963fe": { |
1343 |
| - "model_module": "@jupyter-widgets/base", |
1344 |
| - "model_module_version": "2.0.0", |
1345 |
| - "model_name": "LayoutModel", |
1346 |
| - "state": {} |
1347 |
| - }, |
1348 |
| - "edfb77550e40401bb6fc5a8fb636067d": { |
1349 |
| - "model_module": "@jupyter-widgets/controls", |
1350 |
| - "model_module_version": "2.0.0", |
1351 |
| - "model_name": "HTMLModel", |
1352 |
| - "state": { |
1353 |
| - "layout": "IPY_MODEL_be6a0171a78a434495b5ab4bfbd7593e", |
1354 |
| - "style": "IPY_MODEL_c501db72dd89454991a6c61b6260fcb8", |
1355 |
| - "value": " 7/7 [00:00<00:00, 8.05it/s]" |
1356 |
| - } |
1357 |
| - }, |
1358 |
| - "ef6467eb3a714ea18cb3e0e5ec19e767": { |
1359 |
| - "model_module": "@jupyter-widgets/controls", |
1360 |
| - "model_module_version": "2.0.0", |
1361 |
| - "model_name": "HTMLModel", |
1362 |
| - "state": { |
1363 |
| - "layout": "IPY_MODEL_92c39ea72a444375adbfd9e55f9d6796", |
1364 |
| - "style": "IPY_MODEL_0467721282ce4fafa2e51247a212f668", |
1365 |
| - "value": " 20/20 [03:13<00:00, 9.63s/it]" |
1366 |
| - } |
1367 |
| - }, |
1368 |
| - "f833b7aaf6bf4cdaa3d0ddd1e5c0ce62": { |
1369 |
| - "model_module": "@jupyter-widgets/base", |
1370 |
| - "model_module_version": "2.0.0", |
1371 |
| - "model_name": "LayoutModel", |
1372 |
| - "state": {} |
1373 |
| - } |
1374 |
| - }, |
| 1108 | + "state": {}, |
1375 | 1109 | "version_major": 2,
|
1376 | 1110 | "version_minor": 0
|
1377 | 1111 | }
|
|
0 commit comments