douwantech / musetalk
Real-Time High Quality Lip Synchronization with Latent Space Inpainting
Prediction
douwantech/musetalk:5501004e78525e4bbd9fa20d1e75ad51fddce5a274bec07b9b16d685e34eeaf8ID5d25am1qjsrgj0cfwy6v07mqg0StatusSucceededSourceWebHardwareA40Total durationCreatedInput
- fps
- 25
- bbox_shift
- 0
- audio_input
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
- video_input
{ "fps": 25, "bbox_shift": 0, "audio_input": "https://replicate.delivery/pbxt/L2hFThsgfNCT3ZaqOoez3T2foFrCiQTw3ihjDoOHikWVdYGK/sun.wav", "video_input": "https://replicate.delivery/pbxt/L2hFUyTjQUalIvUBRskwEaJLCi1dwbWNMjL1NI9cQNgvMfaX/sun.mp4" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run douwantech/musetalk using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "douwantech/musetalk:5501004e78525e4bbd9fa20d1e75ad51fddce5a274bec07b9b16d685e34eeaf8", { input: { fps: 25, bbox_shift: 0, audio_input: "https://replicate.delivery/pbxt/L2hFThsgfNCT3ZaqOoez3T2foFrCiQTw3ihjDoOHikWVdYGK/sun.wav", video_input: "https://replicate.delivery/pbxt/L2hFUyTjQUalIvUBRskwEaJLCi1dwbWNMjL1NI9cQNgvMfaX/sun.mp4" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun douwantech/musetalk using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "douwantech/musetalk:5501004e78525e4bbd9fa20d1e75ad51fddce5a274bec07b9b16d685e34eeaf8", input={ "fps": 25, "bbox_shift": 0, "audio_input": "https://replicate.delivery/pbxt/L2hFThsgfNCT3ZaqOoez3T2foFrCiQTw3ihjDoOHikWVdYGK/sun.wav", "video_input": "https://replicate.delivery/pbxt/L2hFUyTjQUalIvUBRskwEaJLCi1dwbWNMjL1NI9cQNgvMfaX/sun.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run douwantech/musetalk using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "douwantech/musetalk:5501004e78525e4bbd9fa20d1e75ad51fddce5a274bec07b9b16d685e34eeaf8", "input": { "fps": 25, "bbox_shift": 0, "audio_input": "https://replicate.delivery/pbxt/L2hFThsgfNCT3ZaqOoez3T2foFrCiQTw3ihjDoOHikWVdYGK/sun.wav", "video_input": "https://replicate.delivery/pbxt/L2hFUyTjQUalIvUBRskwEaJLCi1dwbWNMjL1NI9cQNgvMfaX/sun.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-05T08:42:59.554296Z", "created_at": "2024-06-05T08:39:02.806000Z", "data_removed": false, "error": null, "id": "5d25am1qjsrgj0cfwy6v07mqg0", "input": { "fps": 25, "bbox_shift": 0, "audio_input": "https://replicate.delivery/pbxt/L2hFThsgfNCT3ZaqOoez3T2foFrCiQTw3ihjDoOHikWVdYGK/sun.wav", "video_input": "https://replicate.delivery/pbxt/L2hFUyTjQUalIvUBRskwEaJLCi1dwbWNMjL1NI9cQNgvMfaX/sun.mp4" }, "logs": "please download ffmpeg-static and export to FFMPEG_PATH.\nFor example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static\nLoads checkpoint by local backend from path: ./models/dwpose/dw-ll_ucoco_384.pth\ncuda start\nDownloading: \"https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth\" to /root/.cache/torch/hub/checkpoints/s3fd-619a316812.pth\n 0%| | 0.00/85.7M [00:00<?, ?B/s]\n 0%| | 32.0k/85.7M [00:00<08:18, 180kB/s]\n 0%| | 80.0k/85.7M [00:00<06:21, 235kB/s]\n 0%| | 176k/85.7M [00:00<03:58, 376kB/s] \n 0%| | 384k/85.7M [00:00<02:09, 690kB/s]\n 1%| | 784k/85.7M [00:00<01:10, 1.26MB/s]\n 2%|▏ | 1.56M/85.7M [00:01<00:36, 2.40MB/s]\n 4%|▎ | 3.14M/85.7M [00:01<00:18, 4.60MB/s]\n 5%|▌ | 4.59M/85.7M [00:01<00:14, 5.76MB/s]\n 9%|▉ | 7.83M/85.7M [00:01<00:08, 9.84MB/s]\n 13%|█▎ | 11.0M/85.7M [00:01<00:06, 12.4MB/s]\n 17%|█▋ | 14.2M/85.7M [00:01<00:05, 14.4MB/s]\n 20%|██ | 17.5M/85.7M [00:02<00:04, 15.7MB/s]\n 24%|██▍ | 20.8M/85.7M [00:02<00:04, 16.8MB/s]\n 28%|██▊ | 24.2M/85.7M [00:02<00:03, 17.6MB/s]\n 32%|███▏ | 27.7M/85.7M [00:02<00:03, 18.3MB/s]\n 36%|███▋ | 31.1M/85.7M [00:02<00:03, 18.8MB/s]\n 40%|████ | 34.5M/85.7M [00:03<00:02, 19.2MB/s]\n 44%|████▍ | 38.1M/85.7M [00:03<00:02, 19.6MB/s]\n 49%|████▊ | 41.8M/85.7M [00:03<00:02, 20.1MB/s]\n 53%|█████▎ | 45.4M/85.7M [00:03<00:02, 20.5MB/s]\n 57%|█████▋ | 49.1M/85.7M [00:03<00:01, 23.6MB/s]\n 60%|██████ | 51.5M/85.7M [00:03<00:01, 23.3MB/s]\n 63%|██████▎ | 53.8M/85.7M [00:04<00:01, 19.9MB/s]\n 66%|██████▌ | 56.6M/85.7M [00:04<00:01, 20.1MB/s]\n 68%|██████▊ | 58.6M/85.7M [00:04<00:01, 15.9MB/s]\n 71%|███████ | 60.9M/85.7M [00:04<00:01, 15.1MB/s]\n 74%|███████▍ | 63.6M/85.7M [00:04<00:01, 15.3MB/s]\n 78%|███████▊ | 66.4M/85.7M [00:04<00:01, 15.5MB/s]\n 81%|████████ | 69.2M/85.7M [00:05<00:01, 15.7MB/s]\n 84%|████████▍ | 72.0M/85.7M [00:05<00:00, 15.8MB/s]\n 87%|████████▋ | 74.8M/85.7M [00:05<00:00, 15.9MB/s]\n 91%|█████████ | 77.6M/85.7M [00:05<00:00, 16.0MB/s]\n 94%|█████████▍| 80.5M/85.7M [00:05<00:00, 16.2MB/s]\n 97%|█████████▋| 83.3M/85.7M [00:06<00:00, 16.2MB/s]\n100%|██████████| 85.7M/85.7M [00:06<00:00, 14.9MB/s]\nRUN: predict\nvideo in 25.0 FPS, audio idx in 50FPS\nextracting landmarks...time consuming\nreading images...\n 0%| | 0/550 [00:00<?, ?it/s]\n 3%|▎ | 18/550 [00:00<00:03, 174.06it/s]\n 7%|▋ | 36/550 [00:00<00:03, 168.18it/s]\n 10%|▉ | 53/550 [00:00<00:03, 162.51it/s]\n 13%|█▎ | 70/550 [00:00<00:02, 160.83it/s]\n 16%|█▌ | 87/550 [00:00<00:02, 158.52it/s]\n 19%|█▊ | 103/550 [00:00<00:02, 158.65it/s]\n 22%|██▏ | 119/550 [00:00<00:02, 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97%|█████████▋| 547/564 [00:29<00:00, 19.02it/s]\n 97%|█████████▋| 549/564 [00:29<00:00, 18.95it/s]\n 98%|█████████▊| 551/564 [00:29<00:00, 18.62it/s]\n 98%|█████████▊| 553/564 [00:29<00:00, 18.75it/s]\n 98%|█████████▊| 555/564 [00:29<00:00, 18.77it/s]\n 99%|█████████▉| 557/564 [00:29<00:00, 18.88it/s]\n 99%|█████████▉| 559/564 [00:29<00:00, 18.91it/s]\n 99%|█████████▉| 561/564 [00:30<00:00, 18.95it/s]\n100%|█████████▉| 563/564 [00:30<00:00, 18.87it/s]\n100%|██████████| 564/564 [00:30<00:00, 18.65it/s]\nffmpeg -y -v warning -r 25.0 -f image2 -i /src/results/tmplxnmwn1zsun_tmp9xfjhifksun/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 temp.mp4\nffmpeg -y -v warning -i /tmp/tmp9xfjhifksun.wav -i temp.mp4 /src/results/tmplxnmwn1zsun_tmp9xfjhifksun.mp4\n[aist#0:0/pcm_s16le @ 0x55c2d0d10ec0] Guessed Channel Layout: mono\nresult is save to /src/results/tmplxnmwn1zsun_tmp9xfjhifksun.mp4", "metrics": { "predict_time": 144.266864, "total_time": 236.748296 }, "output": "https://replicate.delivery/pbxt/j8ZKhUHpxOZ4G9tfQbLhfLL56Q0c1krjKNvAMN3MeP7j462lA/tmplxnmwn1zsun_tmp9xfjhifksun.mp4", "started_at": "2024-06-05T08:40:35.287432Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5d25am1qjsrgj0cfwy6v07mqg0", "cancel": "https://api.replicate.com/v1/predictions/5d25am1qjsrgj0cfwy6v07mqg0/cancel" }, "version": "5501004e78525e4bbd9fa20d1e75ad51fddce5a274bec07b9b16d685e34eeaf8" }Generated inplease download ffmpeg-static and export to FFMPEG_PATH. For example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static Loads checkpoint by local backend from path: ./models/dwpose/dw-ll_ucoco_384.pth cuda start Downloading: "https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth" to /root/.cache/torch/hub/checkpoints/s3fd-619a316812.pth 0%| | 0.00/85.7M [00:00<?, ?B/s] 0%| | 32.0k/85.7M [00:00<08:18, 180kB/s] 0%| | 80.0k/85.7M [00:00<06:21, 235kB/s] 0%| | 176k/85.7M [00:00<03:58, 376kB/s] 0%| | 384k/85.7M [00:00<02:09, 690kB/s] 1%| | 784k/85.7M [00:00<01:10, 1.26MB/s] 2%|▏ | 1.56M/85.7M [00:01<00:36, 2.40MB/s] 4%|▎ | 3.14M/85.7M [00:01<00:18, 4.60MB/s] 5%|▌ | 4.59M/85.7M [00:01<00:14, 5.76MB/s] 9%|▉ | 7.83M/85.7M [00:01<00:08, 9.84MB/s] 13%|█▎ | 11.0M/85.7M [00:01<00:06, 12.4MB/s] 17%|█▋ | 14.2M/85.7M [00:01<00:05, 14.4MB/s] 20%|██ | 17.5M/85.7M [00:02<00:04, 15.7MB/s] 24%|██▍ | 20.8M/85.7M [00:02<00:04, 16.8MB/s] 28%|██▊ | 24.2M/85.7M [00:02<00:03, 17.6MB/s] 32%|███▏ | 27.7M/85.7M [00:02<00:03, 18.3MB/s] 36%|███▋ | 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predict video in 25.0 FPS, audio idx in 50FPS extracting landmarks...time consuming reading images... 0%| | 0/550 [00:00<?, ?it/s] 3%|▎ | 18/550 [00:00<00:03, 174.06it/s] 7%|▋ | 36/550 [00:00<00:03, 168.18it/s] 10%|▉ | 53/550 [00:00<00:03, 162.51it/s] 13%|█▎ | 70/550 [00:00<00:02, 160.83it/s] 16%|█▌ | 87/550 [00:00<00:02, 158.52it/s] 19%|█▊ | 103/550 [00:00<00:02, 158.65it/s] 22%|██▏ | 119/550 [00:00<00:02, 158.15it/s] 25%|██▍ | 135/550 [00:00<00:02, 155.39it/s] 27%|██▋ | 151/550 [00:00<00:02, 153.15it/s] 30%|███ | 167/550 [00:01<00:02, 151.41it/s] 33%|███▎ | 183/550 [00:01<00:02, 150.10it/s] 36%|███▌ | 199/550 [00:01<00:02, 150.23it/s] 39%|███▉ | 215/550 [00:01<00:02, 152.64it/s] 42%|████▏ | 231/550 [00:01<00:02, 153.88it/s] 45%|████▍ | 247/550 [00:01<00:01, 154.31it/s] 48%|████▊ | 264/550 [00:01<00:01, 158.29it/s] 51%|█████ | 281/550 [00:01<00:01, 160.09it/s] 54%|█████▍ | 298/550 [00:01<00:01, 160.41it/s] 57%|█████▋ | 315/550 [00:02<00:01, 159.41it/s] 60%|██████ | 331/550 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89%|████████▉ | 503/564 [00:27<00:03, 19.09it/s] 90%|████████▉ | 505/564 [00:27<00:03, 19.10it/s] 90%|████████▉ | 507/564 [00:27<00:02, 19.17it/s] 90%|█████████ | 509/564 [00:27<00:02, 19.14it/s] 91%|█████████ | 511/564 [00:27<00:02, 19.11it/s] 91%|█████████ | 513/564 [00:27<00:02, 19.10it/s] 91%|█████████▏| 515/564 [00:27<00:02, 19.01it/s] 92%|█████████▏| 517/564 [00:27<00:02, 19.01it/s] 92%|█████████▏| 519/564 [00:27<00:02, 18.99it/s] 92%|█████████▏| 521/564 [00:27<00:02, 18.92it/s] 93%|█████████▎| 523/564 [00:28<00:02, 18.92it/s] 93%|█████████▎| 525/564 [00:28<00:02, 18.98it/s] 93%|█████████▎| 527/564 [00:28<00:01, 19.13it/s] 94%|█████████▍| 529/564 [00:28<00:01, 18.89it/s] 94%|█████████▍| 531/564 [00:28<00:01, 18.97it/s] 95%|█████████▍| 533/564 [00:28<00:01, 18.98it/s] 95%|█████████▍| 535/564 [00:28<00:01, 18.90it/s] 95%|█████████▌| 537/564 [00:28<00:01, 18.86it/s] 96%|█████████▌| 539/564 [00:28<00:01, 18.80it/s] 96%|█████████▌| 541/564 [00:29<00:01, 18.81it/s] 96%|█████████▋| 543/564 [00:29<00:01, 18.85it/s] 97%|█████████▋| 545/564 [00:29<00:01, 18.93it/s] 97%|█████████▋| 547/564 [00:29<00:00, 19.02it/s] 97%|█████████▋| 549/564 [00:29<00:00, 18.95it/s] 98%|█████████▊| 551/564 [00:29<00:00, 18.62it/s] 98%|█████████▊| 553/564 [00:29<00:00, 18.75it/s] 98%|█████████▊| 555/564 [00:29<00:00, 18.77it/s] 99%|█████████▉| 557/564 [00:29<00:00, 18.88it/s] 99%|█████████▉| 559/564 [00:29<00:00, 18.91it/s] 99%|█████████▉| 561/564 [00:30<00:00, 18.95it/s] 100%|█████████▉| 563/564 [00:30<00:00, 18.87it/s] 100%|██████████| 564/564 [00:30<00:00, 18.65it/s] ffmpeg -y -v warning -r 25.0 -f image2 -i /src/results/tmplxnmwn1zsun_tmp9xfjhifksun/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 temp.mp4 ffmpeg -y -v warning -i /tmp/tmp9xfjhifksun.wav -i temp.mp4 /src/results/tmplxnmwn1zsun_tmp9xfjhifksun.mp4 [aist#0:0/pcm_s16le @ 0x55c2d0d10ec0] Guessed Channel Layout: mono result is save to /src/results/tmplxnmwn1zsun_tmp9xfjhifksun.mp4
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