├── .gitignore ├── LICENSE ├── README.md ├── assets ├── acoustic │ └── .gitkeep ├── dictionaries │ └── opencpop-strict.txt ├── rhythmizer │ └── .gitkeep └── vocoder │ └── .gitkeep ├── configs └── default.yaml ├── server.py ├── synthesis.py └── utils.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | 131 | # PyCharm 132 | .idea/ 133 | 134 | # Model weights 135 | *.onnx 136 | /assets/acoustic/* 137 | /assets/vocoder/* 138 | /cache/ 139 | /assets/logs/* 140 | !/**/.gitkeep 141 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 591 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 592 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 593 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 594 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 595 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 596 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 597 | 598 | 16. Limitation of Liability. 599 | 600 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 601 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 602 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 603 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 604 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 605 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 606 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 607 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 608 | SUCH DAMAGES. 609 | 610 | 17. Interpretation of Sections 15 and 16. 611 | 612 | If the disclaimer of warranty and limitation of liability provided 613 | above cannot be given local legal effect according to their terms, 614 | reviewing courts shall apply local law that most closely approximates 615 | an absolute waiver of all civil liability in connection with the 616 | Program, unless a warranty or assumption of liability accompanies a 617 | copy of the Program in return for a fee. 618 | 619 | END OF TERMS AND CONDITIONS 620 | 621 | How to Apply These Terms to Your New Programs 622 | 623 | If you develop a new program, and you want it to be of the greatest 624 | possible use to the public, the best way to achieve this is to make it 625 | free software which everyone can redistribute and change under these terms. 626 | 627 | To do so, attach the following notices to the program. It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DiffSingerMiniEngine 2 | A minimum inference engine for DiffSinger MIDI-less mode. 3 | 4 | ## Getting Started 5 | 6 | 1. Install `onnxruntime` following the [official guidance](https://onnxruntime.ai/). 7 | 2. Install other dependencies with `pip install PyYAML soundfile`. 8 | 3. Download ONNX version of the NSF-HiFiGAN vocoder from [here](https://github.com/openvpi/vocoders/releases/tag/nsf-hifigan-v1) and unzip it into `assets/vocoder` directory. 9 | 4. Download an ONNX rhythm predictor from [here](https://github.com/openvpi/DiffSinger/releases/tag/v1.4.1) and put it into `assets/rhythmizer` directory. 10 | 5. Put your ONNX acoustic models into `assets/acoustic` directory. 11 | 6. Edit `configs/default.yaml` or create another config file according to your preference and local environment. 12 | 7. Run server with `python server.py` or `python server.py --config `. 13 | 14 | ## API Specification 15 | 16 | TBD 17 | 18 | ## How to Obtain Acoustic Models 19 | 20 | 1. [Train with your own dataset](https://github.com/openvpi/DiffSinger/blob/refactor/pipelines/no_midi_preparation.ipynb) or download pretrained checkpoints from [here](https://github.com/openvpi/DiffSinger/releases/tag/v1.4.0). 21 | 2. Export PyTorch checkpoints to ONNX format. See instructions [here](https://github.com/openvpi/DiffSinger/blob/refactor/docs/README-SVS-onnx.md). 22 | -------------------------------------------------------------------------------- /assets/acoustic/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/openvpi/DiffSingerMiniEngine/c740951d2c36ac4ac204cd7c5529680cae1df123/assets/acoustic/.gitkeep -------------------------------------------------------------------------------- /assets/dictionaries/opencpop-strict.txt: -------------------------------------------------------------------------------- 1 | a a 2 | ai ai 3 | an an 4 | ang ang 5 | ao ao 6 | ba b a 7 | bai b ai 8 | ban b an 9 | bang b ang 10 | bao b ao 11 | bei b ei 12 | ben b en 13 | beng b eng 14 | bi b i 15 | bian b ian 16 | biao b iao 17 | bie b ie 18 | bin b in 19 | bing b ing 20 | bo b o 21 | bu b u 22 | ca c a 23 | cai c ai 24 | can c an 25 | cang c ang 26 | cao c ao 27 | ce c e 28 | cei c ei 29 | cen c en 30 | ceng c eng 31 | cha ch a 32 | chai ch ai 33 | chan ch an 34 | chang ch ang 35 | chao ch ao 36 | che ch e 37 | chen ch en 38 | cheng ch eng 39 | chi ch ir 40 | chong ch ong 41 | chou ch ou 42 | chu ch u 43 | chua ch ua 44 | chuai ch uai 45 | chuan ch uan 46 | chuang ch uang 47 | chui ch ui 48 | chun ch un 49 | chuo ch uo 50 | ci c i0 51 | cong c ong 52 | cou c ou 53 | cu c u 54 | cuan c uan 55 | cui c ui 56 | cun c un 57 | cuo c uo 58 | da d a 59 | dai d ai 60 | dan d an 61 | dang d ang 62 | dao d ao 63 | de d e 64 | dei d ei 65 | den d en 66 | deng d eng 67 | di d i 68 | dia d ia 69 | dian d ian 70 | diao d iao 71 | die d ie 72 | ding d ing 73 | diu d iu 74 | dong d ong 75 | dou d ou 76 | du d u 77 | duan d uan 78 | dui d ui 79 | dun d un 80 | duo d uo 81 | e e 82 | ei ei 83 | en en 84 | eng eng 85 | er er 86 | fa f a 87 | fan f an 88 | fang f ang 89 | fei f ei 90 | fen f en 91 | feng f eng 92 | fo f o 93 | fou f ou 94 | fu f u 95 | ga g a 96 | gai g ai 97 | gan g an 98 | gang g ang 99 | gao g ao 100 | ge g e 101 | gei g ei 102 | gen g en 103 | geng g eng 104 | gong g ong 105 | gou g ou 106 | gu g u 107 | gua g ua 108 | guai g uai 109 | guan g uan 110 | guang g uang 111 | gui g ui 112 | gun g un 113 | guo g uo 114 | ha h a 115 | hai h ai 116 | han h an 117 | hang h ang 118 | hao h ao 119 | he h e 120 | hei h ei 121 | hen h en 122 | heng h eng 123 | hong h ong 124 | hou h ou 125 | hu h u 126 | hua h ua 127 | huai h uai 128 | huan h uan 129 | huang h uang 130 | hui h ui 131 | hun h un 132 | huo h uo 133 | ji j i 134 | jia j ia 135 | jian j ian 136 | jiang j iang 137 | jiao j iao 138 | jie j ie 139 | jin j in 140 | jing j ing 141 | jiong j iong 142 | jiu j iu 143 | ju j v 144 | jv j v 145 | juan j van 146 | jvan j van 147 | jue j ve 148 | jve j ve 149 | jun j vn 150 | jvn j vn 151 | ka k a 152 | kai k ai 153 | kan k an 154 | kang k ang 155 | kao k ao 156 | ke k e 157 | kei k ei 158 | ken k en 159 | keng k eng 160 | kong k ong 161 | kou k ou 162 | ku k u 163 | kua k ua 164 | kuai k uai 165 | kuan k uan 166 | kuang k uang 167 | kui k ui 168 | kun k un 169 | kuo k uo 170 | la l a 171 | lai l ai 172 | lan l an 173 | lang l ang 174 | lao l ao 175 | le l e 176 | lei l ei 177 | leng l eng 178 | li l i 179 | lia l ia 180 | lian l ian 181 | liang l iang 182 | liao l iao 183 | lie l ie 184 | lin l in 185 | ling l ing 186 | liu l iu 187 | lo l o 188 | long l ong 189 | lou l ou 190 | lu l u 191 | luan l uan 192 | lun l un 193 | luo l uo 194 | lv l v 195 | lve l ve 196 | ma m a 197 | mai m ai 198 | man m an 199 | mang m ang 200 | mao m ao 201 | me m e 202 | mei m ei 203 | men m en 204 | meng m eng 205 | mi m i 206 | mian m ian 207 | miao m iao 208 | mie m ie 209 | min m in 210 | ming m ing 211 | miu m iu 212 | mo m o 213 | mou m ou 214 | mu m u 215 | na n a 216 | nai n ai 217 | nan n an 218 | nang n ang 219 | nao n ao 220 | ne n e 221 | nei n ei 222 | nen n en 223 | neng n eng 224 | ni n i 225 | nian n ian 226 | niang n iang 227 | niao n iao 228 | nie n ie 229 | nin n in 230 | ning n ing 231 | niu n iu 232 | nong n ong 233 | nou n ou 234 | nu n u 235 | nuan n uan 236 | nun n un 237 | nuo n uo 238 | nv n v 239 | nve n ve 240 | o o 241 | ou ou 242 | pa p a 243 | pai p ai 244 | pan p an 245 | pang p ang 246 | pao p ao 247 | pei p ei 248 | pen p en 249 | peng p eng 250 | pi p i 251 | pian p ian 252 | piao p iao 253 | pie p ie 254 | pin p in 255 | ping p ing 256 | po p o 257 | pou p ou 258 | pu p u 259 | qi q i 260 | qia q ia 261 | qian q ian 262 | qiang q iang 263 | qiao q iao 264 | qie q ie 265 | qin q in 266 | qing q ing 267 | qiong q iong 268 | qiu q iu 269 | qu q v 270 | qv q v 271 | quan q van 272 | qvan q van 273 | que q ve 274 | qve q ve 275 | qun q vn 276 | qvn q vn 277 | ran r an 278 | rang r ang 279 | rao r ao 280 | re r e 281 | ren r en 282 | reng r eng 283 | ri r ir 284 | rong r ong 285 | rou r ou 286 | ru r u 287 | rua r ua 288 | ruan r uan 289 | rui r ui 290 | run r un 291 | ruo r uo 292 | sa s a 293 | sai s ai 294 | san s an 295 | sang s ang 296 | sao s ao 297 | se s e 298 | sen s en 299 | seng s eng 300 | sha sh a 301 | shai sh ai 302 | shan sh an 303 | shang sh ang 304 | shao sh ao 305 | she sh e 306 | shei sh ei 307 | shen sh en 308 | sheng sh eng 309 | shi sh ir 310 | shou sh ou 311 | shu sh u 312 | shua sh ua 313 | shuai sh uai 314 | shuan sh uan 315 | shuang sh uang 316 | shui sh ui 317 | shun sh un 318 | shuo sh uo 319 | si s i0 320 | song s ong 321 | sou s ou 322 | su s u 323 | suan s uan 324 | sui s ui 325 | sun s un 326 | suo s uo 327 | ta t a 328 | tai t ai 329 | tan t an 330 | tang t ang 331 | tao t ao 332 | te t e 333 | tei t ei 334 | teng t eng 335 | ti t i 336 | tian t ian 337 | tiao t iao 338 | tie t ie 339 | ting t ing 340 | tong t ong 341 | tou t ou 342 | tu t u 343 | tuan t uan 344 | tui t ui 345 | tun t un 346 | tuo t uo 347 | wa w a 348 | wai w ai 349 | wan w an 350 | wang w ang 351 | wei w ei 352 | wen w en 353 | weng w eng 354 | wo w o 355 | wu w u 356 | xi x i 357 | xia x ia 358 | xian x ian 359 | xiang x iang 360 | xiao x iao 361 | xie x ie 362 | xin x in 363 | xing x ing 364 | xiong x iong 365 | xiu x iu 366 | xu x v 367 | xv x v 368 | xuan x van 369 | xvan x van 370 | xue x ve 371 | xve x ve 372 | xun x vn 373 | xvn x vn 374 | ya y a 375 | yan y En 376 | yang y ang 377 | yao y ao 378 | ye y E 379 | yi y i 380 | yin y in 381 | ying y ing 382 | yo y o 383 | yong y ong 384 | you y ou 385 | yu y v 386 | yv y v 387 | yuan y van 388 | yvan y van 389 | yue y ve 390 | yve y ve 391 | yun y vn 392 | yvn y vn 393 | za z a 394 | zai z ai 395 | zan z an 396 | zang z ang 397 | zao z ao 398 | ze z e 399 | zei z ei 400 | zen z en 401 | zeng z eng 402 | zha zh a 403 | zhai zh ai 404 | zhan zh an 405 | zhang zh ang 406 | zhao zh ao 407 | zhe zh e 408 | zhei zh ei 409 | zhen zh en 410 | zheng zh eng 411 | zhi zh ir 412 | zhong zh ong 413 | zhou zh ou 414 | zhu zh u 415 | zhua zh ua 416 | zhuai zh uai 417 | zhuan zh uan 418 | zhuang zh uang 419 | zhui zh ui 420 | zhun zh un 421 | zhuo zh uo 422 | zi z i0 423 | zong z ong 424 | zou z ou 425 | zu z u 426 | zuan z uan 427 | zui z ui 428 | zun z un 429 | zuo z uo 430 | -------------------------------------------------------------------------------- /assets/rhythmizer/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/openvpi/DiffSingerMiniEngine/c740951d2c36ac4ac204cd7c5529680cae1df123/assets/rhythmizer/.gitkeep -------------------------------------------------------------------------------- /assets/vocoder/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/openvpi/DiffSingerMiniEngine/c740951d2c36ac4ac204cd7c5529680cae1df123/assets/vocoder/.gitkeep -------------------------------------------------------------------------------- /configs/default.yaml: -------------------------------------------------------------------------------- 1 | dictionary: 2 | filename: assets/dictionaries/opencpop-strict.txt 3 | reserved_tokens: 3 4 | rhythmizer: 5 | filename: assets/rhythmizer/1214_opencpop_ds1000_fix_label.rhythmizer.onnx 6 | acoustic: 7 | speedup: 10 8 | vocoder: 9 | filename: assets/vocoder/nsf_hifigan_onnx/nsf_hifigan.onnx 10 | num_mel_bins: 128 11 | hop_size: 512 12 | sample_rate: 44100 13 | force_on_cpu: true 14 | server: 15 | port: 9266 16 | cache_dir: cache/ 17 | max_threads: 1 18 | providers: 19 | - name: CUDAExecutionProvider 20 | options: 21 | device_id: 0 22 | cudnn_conv_algo_search: DEFAULT 23 | attributes: 24 | cuda_path: path/to/your/cuda/dlls 25 | cudnn_path: path/to/your/cudnn/dlls 26 | - name: DmlExecutionProvider 27 | options: 28 | device_id: 0 29 | - name: CPUExecutionProvider 30 | options: {} 31 | -------------------------------------------------------------------------------- /server.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import glob 3 | import json 4 | import logging 5 | import os.path 6 | import threading 7 | import urllib.parse 8 | from concurrent.futures import ThreadPoolExecutor 9 | from http.server import HTTPServer, BaseHTTPRequestHandler 10 | 11 | import soundfile 12 | 13 | import synthesis 14 | import utils 15 | 16 | VERSION = '1.0.1' 17 | DATE = '2023-01-08' 18 | SERVER_ROOT = os.path.dirname(os.path.abspath(__file__)) 19 | CONFIG_ROOT = os.path.join(SERVER_ROOT, 'configs') 20 | ACOUSTIC_ROOT = os.path.join(SERVER_ROOT, 'assets', 'acoustic') 21 | 22 | logging.basicConfig(level='DEBUG', 23 | format="%(asctime)s - %(levelname)-7s: %(message)s", 24 | datefmt="%Y-%m-%d %H:%M:%S") 25 | 26 | 27 | def version(request: BaseHTTPRequestHandler): 28 | v = { 29 | 'version': VERSION, 30 | 'date': DATE 31 | } 32 | request.send_response(200) 33 | request.send_header('Content-Type', 'application/json') 34 | request.end_headers() 35 | request.wfile.write(json.dumps(v).encode('utf8')) 36 | 37 | 38 | def models(request: BaseHTTPRequestHandler): 39 | res = { 40 | 'models': [os.path.basename(file)[:-5] for file in glob.glob(os.path.join(ACOUSTIC_ROOT, '*.onnx'))] 41 | } 42 | request.send_response(200) 43 | request.send_header('Content-Type', 'application/json') 44 | request.end_headers() 45 | request.wfile.write(json.dumps(res).encode('utf8')) 46 | 47 | 48 | def rhythm(request: BaseHTTPRequestHandler): 49 | """ 50 | Example: 51 | { 52 | "notes": [ 53 | { 54 | "key": 0, 55 | "duration": 0.5, 56 | "slur": false, 57 | "phonemes": [ 58 | "SP" 59 | ] 60 | }, 61 | { 62 | "key": 69, 63 | "duration": 0.5, 64 | "slur": false, 65 | "phonemes": [ 66 | "sh", 67 | "a" 68 | ] 69 | }, 70 | { 71 | "key": 71, 72 | "duration": 1.0, 73 | "slur": true 74 | } 75 | ] 76 | } 77 | """ 78 | request_body = json.loads(request.rfile.read(int(request.headers['Content-Length']))) 79 | ph_seq, ph_dur = synthesis.predict_rhythm(request_body['notes'], phoneme_list, vowels, config) 80 | res = { 81 | 'phonemes': [ 82 | { 83 | 'name': name, 84 | 'duration': duration 85 | } 86 | for name, duration in zip(ph_seq, ph_dur) 87 | ] 88 | } 89 | request.send_response(200) 90 | request.send_header('Content-Type', 'application/json') 91 | request.end_headers() 92 | request.wfile.write(json.dumps(res).encode('utf8')) 93 | 94 | 95 | def submit(request: BaseHTTPRequestHandler): 96 | """ 97 | Example: 98 | { 99 | "model": "1215_opencpop_ds1000_fix_label_nomidi", 100 | "phonemes": [ 101 | { 102 | "name": "SP", 103 | "duration": 0.5 104 | }, 105 | { 106 | "name": "SP", 107 | "duration": 0.5 108 | } 109 | ], 110 | "f0": { 111 | "timestep": 0.01, 112 | "values": [ 113 | 440.0, 114 | 440.0, 115 | 440.0, 116 | 440.0, 117 | 440.0 118 | ] 119 | }, 120 | "speedup": 50 121 | } 122 | """ 123 | request_body = json.loads(request.rfile.read(int(request.headers['Content-Length']))) 124 | if 'speedup' not in request_body: 125 | request_body['speedup'] = config['acoustic']['speedup'] 126 | token = utils.request_to_token(request_body) 127 | cache_file = os.path.join(cache, f'{token}.wav') 128 | if os.path.exists(cache_file): 129 | res = { 130 | 'token': token, 131 | 'status': 'HIT_CACHE' 132 | } 133 | else: 134 | mutex.acquire() 135 | code = utils.random_string(4) 136 | if token in tasks: 137 | piles[token].append(code) 138 | else: 139 | if token in failures: 140 | failures.pop(token) 141 | tasks[token] = pool.submit(_execute, request_body, cache_file, token) 142 | piles[token] = [code] 143 | mutex.release() 144 | res = { 145 | 'token': token, 146 | 'status': 'SUBMITTED', 147 | 'code': code 148 | } 149 | request.send_response(200) 150 | request.send_header('Content-Type', 'application/json') 151 | request.end_headers() 152 | request.wfile.write(json.dumps(res).encode('utf8')) 153 | 154 | 155 | def query(request: BaseHTTPRequestHandler): 156 | request_body = json.loads(request.rfile.read(int(request.headers['Content-Length']))) 157 | token = request_body['token'] 158 | cache_file = os.path.join(cache, f'{token}.wav') 159 | if os.path.exists(cache_file): 160 | res = { 161 | 'status': 'HIT_CACHE' 162 | } 163 | request.send_response(200) 164 | request.send_header('Content-Type', 'application/json') 165 | request.end_headers() 166 | request.wfile.write(json.dumps(res).encode('utf8')) 167 | else: 168 | mutex.acquire() 169 | if token in tasks: 170 | task = tasks[token] 171 | res = {} 172 | if task.cancelled(): 173 | res['status'] = 'CANCELLED' 174 | elif task.done(): 175 | if token in failures: 176 | res['status'] = 'FAILED' 177 | res['message'] = failures[token] 178 | else: 179 | res['status'] = 'FINISHED' 180 | elif task.running(): 181 | res['status'] = 'RUNNING' 182 | else: 183 | res['status'] = 'QUEUED' 184 | request.send_response(200) 185 | request.send_header('Content-Type', 'application/json') 186 | request.end_headers() 187 | request.wfile.write(json.dumps(res).encode('utf8')) 188 | elif token in failures: 189 | res = { 190 | 'status': 'FAILED', 191 | 'message': failures[token] 192 | } 193 | request.send_response(200) 194 | request.send_header('Content-Type', 'application/json') 195 | request.end_headers() 196 | request.wfile.write(json.dumps(res).encode('utf8')) 197 | else: 198 | request.send_error(404) 199 | mutex.release() 200 | 201 | 202 | def cancel(request: BaseHTTPRequestHandler): 203 | request_body = json.loads(request.rfile.read(int(request.headers['Content-Length']))) 204 | token = request_body['token'] 205 | code = request_body['code'] 206 | mutex.acquire() 207 | if os.path.exists(os.path.join(cache, f'{token}.wav')): 208 | res = { 209 | 'succeeded': False, 210 | 'message': 'Task result already in cache.' 211 | } 212 | elif token not in tasks or code not in piles[token]: 213 | res = { 214 | 'succeeded': False, 215 | 'message': 'Invalid token or code.' 216 | } 217 | else: 218 | piles[token].remove(code) 219 | if len(piles[token]) == 0: 220 | tasks[token].cancel() 221 | tasks.pop(token) 222 | piles.pop(token) 223 | res = { 224 | 'succeeded': True 225 | } 226 | mutex.release() 227 | request.send_response(200) 228 | request.send_header('Content-Type', 'application/json') 229 | request.end_headers() 230 | request.wfile.write(json.dumps(res).encode('utf8')) 231 | 232 | 233 | def download(request: BaseHTTPRequestHandler): 234 | params = dict(urllib.parse.parse_qsl(urllib.parse.urlsplit(request.path).query)) 235 | token = params['token'] 236 | cache_file = os.path.join(cache, f'{token}.wav') 237 | if os.path.exists(cache_file): 238 | request.send_response(200) 239 | request.send_header('Content-Type', 'audio/wav') 240 | request.end_headers() 241 | with open(cache_file, 'rb') as f: 242 | request.wfile.write(f.read()) 243 | else: 244 | request.send_response(404) 245 | 246 | 247 | def _execute(request: dict, cache_file: str, token: str): 248 | logging.info(f'Task \'{token}\' begins') 249 | try: 250 | wav = synthesis.run_synthesis( 251 | request, phoneme_list, 252 | os.path.join(ACOUSTIC_ROOT, f'{request["model"]}.onnx'), 253 | config 254 | ) 255 | os.makedirs(cache, exist_ok=True) 256 | soundfile.write(cache_file, wav, config['vocoder']['sample_rate']) 257 | logging.info(f'Task \'{token}\' finished') 258 | except Exception as e: 259 | failures[token] = str(e) 260 | logging.error(f'Task \'{token}\' failed') 261 | logging.error(str(e)) 262 | raise e 263 | finally: 264 | mutex.acquire() 265 | tasks.pop(token) 266 | piles.pop(token) 267 | mutex.release() 268 | 269 | 270 | config = {} 271 | dictionary = {} 272 | dict_pad = -1 273 | phoneme_list = [] 274 | vowels = set() 275 | vocoder_path = '' 276 | cache = '' 277 | pool: ThreadPoolExecutor 278 | tasks = {} 279 | piles = {} 280 | failures = {} 281 | 282 | apis = { 283 | '/version': (version, ['GET']), 284 | '/models': (models, ['GET']), 285 | '/rhythm': (rhythm, ['POST']), 286 | '/submit': (submit, ['POST']), 287 | '/query': (query, ['POST']), 288 | '/cancel': (cancel, ['POST']), 289 | '/download': (download, ['GET']) 290 | } 291 | mutex = threading.Lock() 292 | 293 | 294 | class Request(BaseHTTPRequestHandler): 295 | def do_GET(self): 296 | url_split = urllib.parse.urlsplit(self.path) 297 | url_path = url_split.path.rstrip('/') 298 | if url_path not in apis: 299 | self.send_error(404) 300 | elif 'GET' not in apis[url_path][1]: 301 | self.send_error(405) 302 | else: 303 | apis[url_path][0](self) 304 | 305 | def do_POST(self): 306 | url_split = urllib.parse.urlsplit(self.path) 307 | url_path = url_split.path.rstrip('/') 308 | if url_path not in apis: 309 | self.send_error(404) 310 | elif 'POST' not in apis[url_path][1]: 311 | self.send_error(405) 312 | else: 313 | apis[url_path][0](self) 314 | 315 | 316 | if __name__ == '__main__': 317 | parser = argparse.ArgumentParser(description='Start DiffSinger inference server') 318 | parser.add_argument('--config', type=str, required=False, default='default') 319 | args = parser.parse_args() 320 | 321 | cfg_path = os.path.join(CONFIG_ROOT, f'{args.config}.yaml') 322 | config.update(utils.load_configs(cfg_path)) 323 | logging.info(f'Using config from \'{cfg_path}\'') 324 | 325 | dict_path = config['dictionary']['filename'] 326 | if not os.path.isabs(dict_path): 327 | dict_path = os.path.join(SERVER_ROOT, dict_path) 328 | dict_pad = config['dictionary']['reserved_tokens'] 329 | dictionary.update(utils.load_dictionary(dict_path)) 330 | vowels.update(utils.dictionary_to_vowels(dictionary)) 331 | logging.info(f'Loaded dictionary from \'{dict_path}\'') 332 | 333 | phoneme_list.extend(utils.dictionary_to_phonemes(dictionary, dict_pad)) 334 | vocoder_path = config['vocoder']['filename'] 335 | if not os.path.isabs(vocoder_path): 336 | vocoder_path = os.path.join(SERVER_ROOT, vocoder_path) 337 | assert os.path.exists(vocoder_path), 'Vocoder model not found. Please check your configuration.' 338 | logging.info(f'Found vocoder at \'{vocoder_path}\'') 339 | 340 | cache = config['server']['cache_dir'] 341 | if not os.path.isabs(cache): 342 | cache = os.path.join(SERVER_ROOT, cache) 343 | logging.info(f'Cache will be saved in \'{cache}\'') 344 | 345 | pool = ThreadPoolExecutor(max_workers=config['server']['max_threads']) 346 | 347 | host = ('127.0.0.1', config['server']['port']) 348 | with HTTPServer(host, Request) as server: 349 | logging.info('Server starting at %s:%s' % host) 350 | try: 351 | server.serve_forever() 352 | except KeyboardInterrupt: 353 | pass 354 | except InterruptedError: 355 | pass 356 | -------------------------------------------------------------------------------- /synthesis.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | 3 | import utils 4 | 5 | 6 | def rhythm_preprocess(name2token: list, 7 | words: list, 8 | midi: list, 9 | midi_dur: list, 10 | is_slur: list): 11 | tokens = [] 12 | midi_seq = [] 13 | midi_dur_seq = [] 14 | is_slur_seq = [] 15 | last_phoneme = 'SP' 16 | for i in range(len(words)): 17 | if not is_slur[i]: 18 | for ph in words[i]: 19 | tokens.append(name2token.index(ph)) 20 | midi_seq.append(midi[i]) 21 | midi_dur_seq.append(midi_dur[i]) 22 | is_slur_seq.append(False) 23 | last_phoneme = words[i][-1] 24 | else: 25 | tokens.append(name2token.index(last_phoneme)) 26 | midi_seq.append(midi[i]) 27 | midi_dur_seq.append(midi_dur[i]) 28 | is_slur_seq.append(True) 29 | tokens = np.array(tokens, dtype=np.int64) 30 | midi_seq = np.array(midi_seq, dtype=np.int64) 31 | midi_dur_seq = np.array(midi_dur_seq, dtype=np.float32) 32 | is_slur_seq = np.array(is_slur_seq, dtype=np.bool_) 33 | return tokens[None], midi_seq[None], midi_dur_seq[None], is_slur_seq[None] 34 | 35 | 36 | def rhythm_infer(model: str, providers: list, tokens, midi, midi_dur, is_slur): 37 | session = utils.create_session(model, providers) 38 | ph_dur = session.run(['ph_dur'], {'tokens': tokens, 'midi': midi, 'midi_dur': midi_dur, 'is_slur': is_slur})[0] 39 | return ph_dur 40 | 41 | 42 | def rhythm_postprocess(ph_seq, midi_dur, ph_dur, all_vowels): 43 | for i in range(len(ph_dur)): 44 | if ph_seq[i] in all_vowels: 45 | if i < len(ph_dur) - 1 and ph_seq[i + 1] not in all_vowels: 46 | ph_dur[i] = midi_dur[i] - ph_dur[i + 1] 47 | if ph_dur[i] < 0: 48 | ph_dur[i] = 0 49 | ph_dur[i + 1] = midi_dur[i] 50 | else: 51 | ph_dur[i] = midi_dur[i] 52 | 53 | 54 | def predict_rhythm(notes: list, name2token: list, all_vowels: set, configs: dict): 55 | tokens, midi_seq, midi_dur_seq, is_slur_seq = rhythm_preprocess( 56 | name2token=name2token, 57 | words=[note.get('phonemes') for note in notes], 58 | midi=[note['key'] for note in notes], 59 | midi_dur=[note['duration'] for note in notes], 60 | is_slur=[note['slur'] for note in notes] 61 | ) 62 | ph_dur = rhythm_infer( 63 | model=configs['rhythmizer']['filename'], providers=configs['providers'], 64 | tokens=tokens, midi=midi_seq, midi_dur=midi_dur_seq, is_slur=is_slur_seq 65 | ) 66 | ph_seq = [name2token[tok] for tok in tokens[0].tolist()] 67 | midi_seq = midi_seq[0].tolist() 68 | midi_dur_seq = midi_dur_seq[0].tolist() 69 | is_slur_seq = is_slur_seq[0].tolist() 70 | ph_dur = ph_dur[0].tolist() 71 | rhythm_postprocess( 72 | ph_seq=ph_seq, midi_dur=midi_dur_seq, 73 | ph_dur=ph_dur, all_vowels=all_vowels 74 | ) 75 | i = 0 76 | while i < len(ph_seq): 77 | if is_slur_seq[i]: 78 | ph_dur[i - 1] += ph_dur[i] 79 | ph_seq.pop(i) 80 | midi_seq.pop(i) 81 | midi_dur_seq.pop(i) 82 | is_slur_seq.pop(i) 83 | ph_dur.pop(i) 84 | else: 85 | i += 1 86 | return ph_seq, ph_dur 87 | 88 | 89 | def acoustic_preprocess(name2token: list, 90 | phonemes: list, 91 | durations: list, 92 | f0: list, 93 | frame_length: float, 94 | f0_timestep: float): 95 | tokens = [name2token.index(ph) for ph in phonemes] 96 | tokens = np.array(tokens, dtype=np.int64) 97 | 98 | ph_dur = np.array(durations) 99 | ph_acc = np.around(np.add.accumulate(ph_dur) / frame_length + 0.5).astype(np.int64) 100 | ph_dur = np.diff(ph_acc, prepend=0) 101 | 102 | t_max = (len(f0) - 1) * f0_timestep 103 | f0_seq = np.interp( 104 | np.arange(0, t_max, frame_length, dtype=np.float32), 105 | f0_timestep * np.arange(len(f0), dtype=np.float32), 106 | np.array(f0, dtype=np.float32) 107 | ).astype(np.float32) 108 | required_length = ph_dur.sum() 109 | actual_length = f0_seq.shape[0] 110 | if actual_length > required_length: 111 | f0_seq = f0_seq[:required_length] 112 | elif actual_length < required_length: 113 | f0_seq = np.concatenate((f0_seq, np.full((required_length - actual_length,), fill_value=f0_seq[-1]))) 114 | 115 | return tokens[None], ph_dur[None], f0_seq[None] 116 | 117 | 118 | def acoustic_infer(model: str, providers: list, tokens, durations, f0, speedup): 119 | session = utils.create_session(model, providers) 120 | mel = session.run(['mel'], {'tokens': tokens, 'durations': durations, 'f0': f0, 'speedup': speedup})[0] 121 | return mel 122 | 123 | 124 | def vocoder_infer(model: str, providers: list, mel, f0, force_on_cpu=True): 125 | session = utils.create_session(model, providers, force_on_cpu=force_on_cpu) 126 | waveform = session.run(['waveform'], {'mel': mel, 'f0': f0})[0] 127 | return waveform 128 | 129 | 130 | def run_synthesis(request: dict, name2token: list, acoustic: str, configs: dict): 131 | tokens, durations, f0 = acoustic_preprocess( 132 | name2token=name2token, 133 | phonemes=[ph['name'] for ph in request['phonemes']], 134 | durations=[ph['duration'] for ph in request['phonemes']], 135 | f0=request['f0']['values'], 136 | frame_length=configs['vocoder']['hop_size'] / configs['vocoder']['sample_rate'], 137 | f0_timestep=request['f0']['timestep'] 138 | ) 139 | speedup = np.array(request['speedup'], dtype=np.int64) 140 | mel = acoustic_infer( 141 | model=acoustic, providers=configs['providers'], 142 | tokens=tokens, durations=durations, f0=f0, speedup=speedup 143 | ) 144 | waveform = vocoder_infer( 145 | model=configs['vocoder']['filename'], providers=configs['providers'], mel=mel, f0=f0, 146 | force_on_cpu=configs['vocoder']['force_on_cpu'] 147 | ) 148 | return waveform[0] 149 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | import hashlib 2 | import json 3 | import logging 4 | import os 5 | import random 6 | 7 | import onnxruntime as ort 8 | import yaml 9 | 10 | _dll_loaded = False 11 | 12 | 13 | class ProviderError(Exception): 14 | def __init__(self, *args): 15 | super().__init__(*args) 16 | 17 | 18 | def load_configs(path: str) -> dict: 19 | with open(path, 'r', encoding='utf8') as f: 20 | return yaml.safe_load(f) 21 | 22 | 23 | def create_session(model_path: str, providers: list, force_on_cpu: bool = False) -> ort.InferenceSession: 24 | global _dll_loaded 25 | 26 | available_providers_selected = [] 27 | if not force_on_cpu: 28 | for provider in providers: 29 | if provider['name'] in ort.get_available_providers(): 30 | available_providers_selected.append(provider) 31 | elif len(available_providers_selected) == 0: 32 | logging.warning(f'{provider["name"]} is not available on this machine. Skipping.') 33 | else: 34 | available_providers_selected.append({ 35 | 'name': 'CPUExecutionProvider', 36 | 'options': {} 37 | }) 38 | 39 | if not available_providers_selected: 40 | raise ProviderError('None of the selected execution providers is available on this machine.') 41 | providers = [(provider['name'], provider['options']) for provider in available_providers_selected] 42 | 43 | # Create session options 44 | options = ort.SessionOptions() 45 | if available_providers_selected[0]['name'] == 'DmlExecutionProvider': 46 | # DirectML does not support memory pattern optimizations or parallel execution in onnxruntime. See 47 | # https://onnxruntime.ai/docs/execution-providers/DirectML-ExecutionProvider.html#configuration-options 48 | options.enable_mem_pattern = False 49 | options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL 50 | elif available_providers_selected[0]['name'] == 'CUDAExecutionProvider' and not _dll_loaded: 51 | # CUDA_PATH may break in virtual environments. 52 | # Add CUDA and cuDNN libraries to DLL directories manually. 53 | attr = available_providers_selected[0].get('attributes') 54 | if attr is not None: 55 | cuda_path = available_providers_selected[0]['attributes'].get('cuda_path') 56 | cudnn_path = available_providers_selected[0]['attributes'].get('cudnn_path') 57 | if cuda_path is not None and os.path.exists(cuda_path): 58 | os.add_dll_directory(cuda_path) 59 | if cudnn_path is not None and os.path.exists(cudnn_path): 60 | os.add_dll_directory(cudnn_path) 61 | _dll_loaded = True 62 | 63 | # Create inference session 64 | session = ort.InferenceSession(path_or_bytes=model_path, sess_options=options, providers=providers) 65 | 66 | return session 67 | 68 | 69 | def load_dictionary(path: str) -> dict: 70 | with open(path, 'r', encoding='utf8') as f: 71 | rules = [ln.strip().split('\t') for ln in f.readlines()] 72 | return {r[0]: r[1].split() for r in rules} 73 | 74 | 75 | def dictionary_to_phonemes(dictionary: dict, pad: int) -> list: 76 | phonemes = {'AP', 'SP'} 77 | [phonemes.update(seq) for seq in dictionary.values()] 78 | return [None for _ in range(pad)] + sorted(phonemes) 79 | 80 | 81 | def dictionary_to_vowels(dictionary: dict) -> set: 82 | vowels = {'AP', 'SP'} 83 | for ph_list in dictionary.values(): 84 | ph_count = len(ph_list) 85 | if ph_count == 0 or ph_list[0] in ['AP', 'SP']: 86 | continue 87 | elif len(ph_list) == 1: 88 | vowels.add(ph_list[0]) 89 | else: 90 | vowels.add(ph_list[1]) 91 | return vowels 92 | 93 | 94 | def request_to_token(request: dict) -> str: 95 | req_str = json.dumps(request, ensure_ascii=False, sort_keys=True) 96 | return hashlib.md5(req_str.encode(encoding='utf-8')).hexdigest() 97 | 98 | 99 | def random_string(length: int) -> str: 100 | chars = '0123456789abcdef' 101 | return ''.join(random.choice(chars) for _ in range(length)) 102 | --------------------------------------------------------------------------------