tmappdev
/
lipsync
Lipsync model using MuseTalk
- Public
- 3.1K runs
-
A100 (80GB)
Prediction
tmappdev/lipsync:b7e775591e83379c7c99a3dea151002e92fcd6093609b05200df5fa04d53f1c1ID27zs2x9rchrj60ck8hmaz9wjsgStatusSucceededSourceWebHardwareA100 (80GB)Total 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://storage.googleapis.com/chattuesday/audios/img_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3", "video_input": "https://replicate.delivery/pbxt/LzlR1mCzrpoMUA5GPk1RzxkriLjW5YMBmyJ2ieXbjARlgEBs/lily-ldwi8a_LdG-2.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 tmappdev/lipsync using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tmappdev/lipsync:b7e775591e83379c7c99a3dea151002e92fcd6093609b05200df5fa04d53f1c1", { input: { fps: 25, bbox_shift: 0, audio_input: "https://storage.googleapis.com/chattuesday/audios/img_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3", video_input: "https://replicate.delivery/pbxt/LzlR1mCzrpoMUA5GPk1RzxkriLjW5YMBmyJ2ieXbjARlgEBs/lily-ldwi8a_LdG-2.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 tmappdev/lipsync using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tmappdev/lipsync:b7e775591e83379c7c99a3dea151002e92fcd6093609b05200df5fa04d53f1c1", input={ "fps": 25, "bbox_shift": 0, "audio_input": "https://storage.googleapis.com/chattuesday/audios/img_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3", "video_input": "https://replicate.delivery/pbxt/LzlR1mCzrpoMUA5GPk1RzxkriLjW5YMBmyJ2ieXbjARlgEBs/lily-ldwi8a_LdG-2.mp4" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run tmappdev/lipsync 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": "b7e775591e83379c7c99a3dea151002e92fcd6093609b05200df5fa04d53f1c1", "input": { "fps": 25, "bbox_shift": 0, "audio_input": "https://storage.googleapis.com/chattuesday/audios/img_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3", "video_input": "https://replicate.delivery/pbxt/LzlR1mCzrpoMUA5GPk1RzxkriLjW5YMBmyJ2ieXbjARlgEBs/lily-ldwi8a_LdG-2.mp4" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-19T12:47:17.496460Z", "created_at": "2024-11-19T12:31:41.156000Z", "data_removed": false, "error": null, "id": "27zs2x9rchrj60ck8hmaz9wjsg", "input": { "fps": 25, "bbox_shift": 0, "audio_input": "https://storage.googleapis.com/chattuesday/audios/img_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3", "video_input": "https://replicate.delivery/pbxt/LzlR1mCzrpoMUA5GPk1RzxkriLjW5YMBmyJ2ieXbjARlgEBs/lily-ldwi8a_LdG-2.mp4" }, "logs": "please download ffmpeg-static and export to FFMPEG_PATH.\nFor example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static\n2024-11-19 12:34:06.862656: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n2024-11-19 12:34:06.906267: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\nTo enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n2024-11-19 12:34:07.686505: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\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<07:16, 206kB/s]\n 0%| | 96.0k/85.7M [00:00<04:35, 326kB/s]\n 0%| | 208k/85.7M [00:00<02:57, 505kB/s] \n 0%| | 432k/85.7M [00:00<01:42, 872kB/s]\n 1%| | 880k/85.7M [00:00<00:55, 1.59MB/s]\n 2%|▏ | 1.73M/85.7M [00:00<00:29, 3.00MB/s]\n 4%|▍ | 3.50M/85.7M [00:01<00:14, 5.81MB/s]\n 8%|▊ | 6.98M/85.7M [00:01<00:07, 11.2MB/s]\n 13%|█▎ | 10.7M/85.7M [00:01<00:05, 15.2MB/s]\n 17%|█▋ | 14.5M/85.7M [00:01<00:04, 18.1MB/s]\n 21%|██▏ | 18.3M/85.7M [00:01<00:03, 20.1MB/s]\n 26%|██▌ | 22.1M/85.7M [00:01<00:03, 21.5MB/s]\n 30%|███ | 25.9M/85.7M [00:02<00:02, 22.5MB/s]\n 35%|███▍ | 29.6M/85.7M [00:02<00:02, 23.0MB/s]\n 39%|███▉ | 33.5M/85.7M [00:02<00:02, 23.5MB/s]\n 43%|████▎ | 37.2M/85.7M [00:02<00:02, 23.7MB/s]\n 48%|████▊ | 41.0M/85.7M [00:02<00:01, 24.0MB/s]\n 52%|█████▏ | 44.8M/85.7M [00:02<00:01, 24.1MB/s]\n 57%|█████▋ | 48.5M/85.7M [00:03<00:01, 24.2MB/s]\n 61%|██████ | 52.4M/85.7M [00:03<00:01, 24.3MB/s]\n 66%|██████▌ | 56.2M/85.7M [00:03<00:01, 24.4MB/s]\n 70%|██████▉ | 59.9M/85.7M [00:03<00:01, 24.3MB/s]\n 74%|███████▍ | 63.7M/85.7M [00:03<00:00, 24.3MB/s]\n 78%|███████▊ | 67.0M/85.7M [00:03<00:00, 23.4MB/s]\n 83%|████████▎ | 70.8M/85.7M [00:04<00:00, 23.9MB/s]\n 87%|████████▋ | 74.6M/85.7M [00:04<00:00, 24.1MB/s]\n 92%|█████████▏| 78.4M/85.7M [00:04<00:00, 24.3MB/s]\n 96%|█████████▌| 82.1M/85.7M [00:04<00:00, 24.2MB/s]\n100%|██████████| 85.7M/85.7M [00:04<00:00, 19.8MB/s]\nAn error occurred while trying to fetch ./models/sd-vae-ft-mse/: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/sd-vae-ft-mse/.\nDefaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead.\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\nreturn self.fget.__get__(instance, owner)()\nRUN: predict\nvideo in 25.0 FPS, audio idx in 50FPS\nextracting landmarks...time consuming\nreading images...\n 0%| | 0/118 [00:00<?, ?it/s]\n 6%|▌ | 7/118 [00:00<00:01, 63.33it/s]\n 12%|█▏ | 14/118 [00:00<00:01, 62.62it/s]\n 18%|█▊ | 21/118 [00:00<00:01, 62.17it/s]\n 24%|██▎ | 28/118 [00:00<00:01, 61.64it/s]\n 30%|██▉ | 35/118 [00:00<00:01, 60.89it/s]\n 36%|███▌ | 42/118 [00:00<00:01, 60.46it/s]\n 42%|████▏ \n[...] log volume exceeds 256KiB size limit: truncating logs [...]\n27, 6.77it/s]\n 10%|█ | 69/661 [00:20<01:27, 6.77it/s]\n 11%|█ | 70/661 [00:20<01:27, 6.76it/s]\n 11%|█ | 71/661 [00:20<01:27, 6.76it/s]\n 11%|█ | 72/661 [00:20<01:27, 6.76it/s]\n 11%|█ | 73/661 [00:20<01:26, 6.76it/s]\n 11%|█ | 74/661 [00:20<01:26, 6.76it/s]\n 11%|█▏ | 75/661 [00:21<01:26, 6.76it/s]\n 11%|█▏ | 76/661 [00:21<01:26, 6.77it/s]\n 12%|█▏ | 77/661 [00:21<01:26, 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[01:11<08:04, 9.49it/s]\n 13%|█▎ | 688/5283 [01:11<07:49, 9.79it/s]\n 13%|█▎ | 689/5283 [01:11<08:04, 9.49it/s]\n 13%|█▎ | 691/5283 [01:11<07:48, 9.80it/s]\n 13%|█▎ | 692/5283 [01:12<08:03, 9.50it/s]\n 13%|█▎ | 694/5283 [01:12<07:47, 9.81it/s]\n 13%|█▎ | 695/5283 [01:12<08:04, 9.48it/s]\n 13%|█▎ | 697/5283 [01:12<07:50, 9.75it/s]\n 13%|█▎ | 698/5283 [01:12<08:04, 9.46it/s]\n 13%|█▎ | 699/5283 [01:12<08:11, 9.33it/s]\n 13%|█▎ | 701/5283 [01:12<08:07, 9.39it/s]\n 13%|█▎ | 703/5283 [01:13<07:49, 9.76it/s]\n 13%|█▎ | 704/5283 [01:13<08:01, 9.51it/s]\n 13%|█▎ | 706/5283 [01:13<07:43, 9.87it/s]\n 13%|█▎ | 707/5283 [01:13<07:56, 9.59it/s]\n 13%|█▎ | 709/5283 [01:13<07:39, 9.95it/s]\n 13%|█▎ | 710/5283 [01:13<07:53, 9.65it/s]\n 13%|█▎ | 712/5283 [01:14<07:38, 9.98it/s]\n 13%|█▎ | 713/5283 [01:14<07:52, 9.67it/s]\n 14%|█▎ | 715/5283 [01:14<07:39, 9.94it/s]\n 14%|█▎ | 716/5283 [01:14<07:54, 9.63it/s]\n 14%|█▎ | 718/5283 [01:14<07:39, 9.94it/s]\n 14%|█▎ | 719/5283 [01:14<07:55, 9.60it/s]\n 14%|█▎ | 721/5283 [01:15<07:41, 9.89it/s]\n 14%|█▎ | 722/5283 [01:15<07:56, 9.57it/s]\n 14%|█▎ | 724/5283 [01:15<07:41, 9.88it/s]\n 14%|█▎ | 725/5283 [01:15<07:55, 9.59it/s]\n 14%|█▍ | 727/5283 [01:15<07:40, 9.89it/s]\n 14%|█▍ | 728/5283 [01:15<07:55, 9.58it/s]\n 14%|█▍ | 730/5283 [01:15<07:42, 9.85it/s]\n 14%|█▍ | 731/5283 [01:16<07:56, 9.55it/s]\n 14%|█▍ | 733/5283 [01:16<07:42, 9.84it/s]\n 14%|█▍ | 734/5283 [01:16<07:56, 9.55it/s]\n 14%|█▍ | 736/5283 [01:16<07:40, 9.88it/s]\n 14%|█▍ | 737/5283 [01:16<07:56, 9.55it/s]\n 14%|█▍ | 739/5283 [01:16<07:42, 9.82it/s]\n 14%|█▍ | 740/5283 [01:16<07:58, 9.50it/s]\n 14%|█▍ | 742/5283 [01:17<07:43, 9.81it/s]\n 14%|█▍ | 743/5283 [01:17<07:57, 9.50it/s]\n 14%|█▍ | 745/5283 [01:17<07:41, 9.82it/s]\n 14%|█▍ | 746/5283 [01:17<07:55, 9.55it/s]\n 14%|█▍ | 748/5283 [01:17<07:41, 9.82it/s]\n 14%|█▍ | 749/5283 [01:17<07:54, 9.55it/s]\n 14%|█▍ | 751/5283 [01:18<07:40, 9.85it/s]\n 14%|█▍ | 752/5283 [01:18<07:53, 9.57it/s]\n 14%|█▍ | 754/5283 [01:18<07:37, 9.89it/s]\n 14%|█▍ | 755/5283 [01:18<07:51, 9.60it/s]\n 14%|█▍ | 757/5283 [01:18<07:36, 9.92it/s]\n 14%|█▍ | 758/5283 [01:18<07:51, 9.60it/s]\n 14%|█▍ | 760/5283 [01:19<07:37, 9.89it/s]\n 14%|█▍ | 761/5283 [01:19<07:52, 9.58it/s]\n 14%|█▍ | 763/5283 [01:19<07:39, 9.83it/s]\n 14%|█▍ | 764/5283 [01:19<07:53, 9.55it/s]\n 14%|█▍ | 766/5283 [01:19<07:38, 9.86it/s]\n 15%|█▍ | 767/5283 [01:19<07:52, 9.57it/s]\n 15%|█▍ | 769/5283 [01:19<07:37, 9.87it/s]\n 15%|█▍ | 770/5283 [01:20<07:52, 9.56it/s]\n 15%|█▍ | 772/5283 [01:20<07:38, 9.84it/s]\n 15%|█▍ | 773/5283 [01:20<07:52, 9.55it/s]\n 15%|█▍ | 775/5283 [01:20<07:36, 9.87it/s]\n 15%|█▍ | 776/5283 [01:20<07:50, 9.57it/s]\n 15%|█▍ | 778/5283 [01:20<07:36, 9.86it/s]\n 15%|█▍ | 779/5283 [01:21<07:51, 9.55it/s]\n 15%|█▍ | 781/5283 [01:21<07:36, 9.86it/s]\n 15%|█▍ | 782/5283 [01:21<07:50, 9.56it/s]\n 15%|█▍ | 784/5283 [01:21<07:35, 9.87it/s]\n 15%|█▍ | 785/5283 [01:21<07:49, 9.58it/s]\n 15%|█▍ | 787/5283 [01:21<07:35, 9.87it/s]\n 15%|█▍ | 788/5283 [01:21<07:51, 9.53it/s]\n 15%|█▍ | 790/5283 [01:22<07:37, 9.82it/s]\n 15%|█▍ | 791/5283 [01:22<07:56, 9.43it/s]\n 15%|█▌ | 793/5283 [01:22<07:45, 9.64it/s]\n 15%|█▌ | 794/5283 [01:22<07:59, 9.37it/s]\n 15%|█▌ | 796/5283 [01:22<07:42, 9.69it/s]\n 15%|█▌ | 797/5283 [01:22<07:56, 9.42it/s]\n 15%|█▌ | 799/5283 [01:23<07:38, 9.77it/s]\n 15%|█▌ | 800/5283 [01:23<07:53, 9.47it/s]\n 15%|█▌ | 802/5283 [01:23<07:38, 9.78it/s]\n 15%|█▌ | 803/5283 [01:23<07:52, 9.49it/s]\n 15%|█▌ | 805/5283 [01:23<07:36, 9.82it/s]\n 15%|█▌ | 806/5283 [01:23<07:50, 9.52it/s]\n 15%|█▌ | 808/5283 [01:24<07:39, 9.73it/s]\n 15%|█▌ | 809/5283 [01:24<07:57, 9.37it/s]\n 15%|█▌ | 811/5283 [01:24<07:42, 9.68it/s]\n 15%|█▌ | 812/5283 [01:24<07:57, 9.37it/s]\n 15%|█▌ | 814/5283 [01:24<07:39, 9.72it/s]\n 15%|█▌ | 815/5283 [01:24<07:50, 9.49it/s]\n 15%|█▌ | 817/5283 [01:24<07:36, 9.79it/s]\n 15%|█▌ | 818/5283 [01:25<07:47, 9.55it/s]\n 16%|█▌ | 820/5283 [01:25<07:33, 9.83it/s]\n 16%|█▌ | 821/5283 [01:25<07:47, 9.54it/s]\n 16%|█▌ | 823/5283 [01:25<07:32, 9.86it/s]\n 16%|█▌ | 824/5283 [01:25<07:46, 9.56it/s]\n 16%|█▌ | 826/5283 [01:25<07:34, 9.81it/s]\n 16%|█▌ | 827/5283 [01:25<07:49, 9.50it/s]\n 16%|█▌ | 829/5283 [01:26<07:34, 9.80it/s]\n 16%|█▌ | 830/5283 [01:26<07:48, 9.50it/s]\n 16%|█▌ | 832/5283 [01:26<07:32, 9.83it/s]\n 16%|█▌ | 833/5283 [01:26<07:46, 9.55it/s]\n 16%|█▌ | 835/5283 [01:26<07:31, 9.85it/s]\n 16%|█▌ | 836/5283 [01:26<07:45, 9.55it/s]\n 16%|█▌ | 838/5283 [01:27<07:31, 9.85it/s]\n 16%|█▌ | 839/5283 [01:27<07:45, 9.55it/s]\n 16%|█▌ | 841/5283 [01:27<07:31, 9.84it/s]\n 16%|█▌ | 842/5283 [01:27<07:45, 9.54it/s]\n 16%|█▌ | 844/5283 [01:27<07:30, 9.85it/s]\n 16%|█▌ | 845/5283 [01:27<07:45, 9.53it/s]\n 16%|█▌ | 847/5283 [01:28<07:31, 9.83it/s]\n 16%|█▌ | 848/5283 [01:28<07:45, 9.53it/s]\n 16%|█▌ | 850/5283 [01:28<07:30, 9.83it/s]\n 16%|█▌ | 851/5283 [01:28<07:44, 9.55it/s]\n 16%|█▌ | 853/5283 [01:28<07:29, 9.86it/s]\n 16%|█▌ | 854/5283 [01:28<07:42, 9.57it/s]\n 16%|█▌ | 856/5283 [01:28<07:30, 9.84it/s]\n 16%|█▌ | 857/5283 [01:29<07:44, 9.54it/s]\n 16%|█▋ | 859/5283 [01:29<07:31, 9.81it/s]\n 16%|█▋ | 860/5283 [01:29<07:44, 9.51it/s]\n 16%|█▋ | 862/5283 [01:29<07:31, 9.80it/s]\n 16%|█▋ | 863/5283 [01:29<07:44, 9.51it/s]\n 16%|█▋ | 865/5283 [01:29<07:31, 9.79it/s]\n 16%|█▋ | 866/5283 [01:30<07:45, 9.48it/s]\n 16%|█▋ | 868/5283 [01:30<07:31, 9.78it/s]\n 16%|█▋ | 869/5283 [01:30<07:45, 9.49it/s]\n 16%|█▋ | 871/5283 [01:30<07:29, 9.82it/s]\n 17%|█▋ | 872/5283 [01:30<07:42, 9.54it/s]\n 17%|█▋ | 874/5283 [01:30<07:27, 9.84it/s]\n 17%|█▋ | 875/5283 [01:30<07:42, 9.53it/s]\n 17%|█▋ | 877/5283 [01:31<07:29, 9.81it/s]\n 17%|█▋ | 878/5283 [01:31<07:43, 9.51it/s]\n 17%|█▋ | 880/5283 [01:31<07:28, 9.81it/s]\n 17%|█▋ | 881/5283 [01:31<07:43, 9.49it/s]\n 17%|█▋ | 883/5283 [01:31<07:27, 9.82it/s]\n 17%|█▋ | 884/5283 [01:31<07:41, 9.53it/s]\n 17%|█▋ | 886/5283 [01:32<07:26, 9.85it/s]\n 17%|█▋ | 887/5283 [01:32<07:40, 9.54it/s]\n 17%|█▋ | 889/5283 [01:32<07:27, 9.82it/s]\n 17%|█▋ | 890/5283 [01:32<07:41, 9.51it/s]\n 17%|█▋ | 892/5283 [01:32<07:26, 9.84it/s]\n 17%|█▋ | 893/5283 [01:32<07:39, 9.55it/s]\n 17%|█▋ | 895/5283 [01:32<07:25, 9.84it/s]\n 17%|█▋ | 896/5283 [01:33<07:39, 9.55it/s]\n 17%|█▋ | 898/5283 [01:33<07:25, 9.84it/s]\n 17%|█▋ | 899/5283 [01:33<07:38, 9.56it/s]\n 17%|█▋ | 901/5283 [01:33<07:24, 9.87it/s]\n 17%|█▋ | 902/5283 [01:33<07:40, 9.52it/s]\n 17%|█▋ | 904/5283 [01:33<07:26, 9.81it/s]\n 17%|█▋ | 905/5283 [01:34<07:39, 9.52it/s]\n 17%|█▋ | 907/5283 [01:34<07:25, 9.82it/s]\n 17%|█▋ | 908/5283 [01:34<07:39, 9.53it/s]\n 17%|█▋ | 910/5283 [01:34<07:25, 9.82it/s]\n 17%|█▋ | 911/5283 [01:34<07:38, 9.54it/s]\n 17%|█▋ | 913/5283 [01:34<07:23, 9.85it/s]\n 17%|█▋ | 914/5283 [01:34<07:37, 9.56it/s]\n 17%|█▋ | 916/5283 [01:35<07:22, 9.87it/s]\n 17%|█▋ | 917/5283 [01:35<07:36, 9.56it/s]\n 17%|█▋ | 919/5283 [01:35<07:21, 9.88it/s]\n 17%|█▋ | 920/5283 [01:35<07:35, 9.59it/s]\n 17%|█▋ | 922/5283 [01:35<07:20, 9.91it/s]\n 17%|█▋ | 923/5283 [01:35<07:34, 9.60it/s]\n 18%|█▊ | 925/5283 [01:36<07:21, 9.88it/s]\n 18%|█▊ | 926/5283 [01:36<07:35, 9.57it/s]\n 18%|█▊ | 927/5283 [01:36<07:31, 9.65it/s]\n 18%|█▊ | 929/5283 [01:36<07:33, 9.60it/s]\n 18%|█▊ | 931/5283 [01:36<07:20, 9.88it/s]\n 18%|█▊ | 932/5283 [01:36<07:35, 9.56it/s]\n 18%|█▊ | 934/5283 [01:37<07:21, 9.85it/s]\n 18%|█▊ | 935/5283 [01:37<07:35, 9.54it/s]\n 18%|█▊ | 937/5283 [01:37<07:20, 9.86it/s]\n 18%|█▊ | 938/5283 [01:37<07:32, 9.59it/s]\n 18%|█▊ | 940/5283 [01:37<07:17, 9.92it/s]\n 18%|█▊ | 941/5283 [01:37<07:30, 9.64it/s]\n 18%|█▊ | 943/5283 [01:37<07:16, 9.93it/s]\n 18%|█▊ | 944/5283 [01:38<07:29, 9.66it/s]\n 18%|█▊ | 946/5283 [01:38<07:16, 9.93it/s]\n 18%|█▊ | 947/5283 [01:38<07:32, 9.57it/s]\n 18%|█▊ | 949/5283 [01:38<07:19, 9.87it/s]\n 18%|█▊ | 950/5283 [01:38<07:32, 9.58it/s]\n 18%|█▊ | 952/5283 [01:38<07:20, 9.84it/s]\n 18%|█▊ | 953/5283 [01:38<07:33, 9.55it/s]\n 18%|█▊ | 955/5283 [01:39<07:18, 9.86it/s]\n 18%|█▊ | 956/5283 [01:39<07:33, 9.55it/s]\n 18%|█▊ | 958/5283 [01:39<07:18, 9.86it/s]\n 18%|█▊ | 959/5283 [01:39<07:33, 9.54it/s]\n 18%|█▊ | 961/5283 [01:39<07:18, 9.85it/s]\n 18%|█▊ | 962/5283 [01:39<07:32, 9.56it/s]\n 18%|█▊ | 964/5283 [01:40<07:18, 9.85it/s]\n 18%|█▊ | 965/5283 [01:40<07:32, 9.55it/s]\n 18%|█▊ | 967/5283 [01:40<07:18, 9.85it/s]\n 18%|█▊ | 968/5283 [01:40<07:31, 9.56it/s]\n 18%|█▊ | 970/5283 [01:40<07:17, 9.87it/s]\n 18%|█▊ | 971/5283 [01:40<07:30, 9.57it/s]\n 18%|█▊ | 973/5283 [01:41<07:16, 9.87it/s]\n 18%|█▊ | 974/5283 [01:41<07:30, 9.57it/s]\n 18%|█▊ | 976/5283 [01:41<07:16, 9.86it/s]\n 18%|█▊ | 977/5283 [01:41<07:29, 9.59it/s]\n 19%|█▊ | 979/5283 [01:41<07:17, 9.84it/s]\n 19%|█▊ | 980/5283 [01:41<07:30, 9.54it/s]\n 19%|█▊ | 982/5283 [01:41<07:17, 9.84it/s]\n 19%|█▊ | 983/5283 [01:42<07:30, 9.54it/s]\n 19%|█▊ | 985/5283 [01:42<07:17, 9.82it/s]\n 19%|█▊ | 986/5283 [01:42<07:31, 9.52it/s]\n 19%|█▊ | 988/5283 [01:42<07:16, 9.83it/s]\n 19%|█▊ | 989/5283 [01:42<07:30, 9.54it/s]\n 19%|█▉ | 991/5283 [01:42<07:16, 9.83it/s]\n 19%|█▉ | 992/5283 [01:42<07:30, 9.53it/s]\n 19%|█▉ | 994/5283 [01:43<07:16, 9.83it/s]\n 19%|█▉ | 995/5283 [01:43<07:30, 9.53it/s]\n 19%|█▉ | 997/5283 [01:43<07:15, 9.85it/s]\n 19%|█▉ | 998/5283 [01:43<07:27, 9.57it/s]\n 19%|█▉ | 1000/5283 [01:43<07:14, 9.86it/s]\n 19%|█▉ | 1001/5283 [01:43<07:27, 9.56it/s]\n 19%|█▉ | 1003/5283 [01:44<07:14, 9.86it/s]\n 19%|█▉ | 1004/5283 [01:44<07:27, 9.56it/s]\n 19%|█▉ | 1006/5283 [01:44<07:13, 9.88it/s]\n 19%|█▉ | 1007/5283 [01:44<07:26, 9.58it/s]\n 19%|█▉ | 1009/5283 [01:44<07:12, 9.88it/s]\n 19%|█▉ | 1010/5283 [01:44<07:29, 9.50it/s]\n 19%|█▉ | 1012/5283 [01:45<07:14, 9.83it/s]\n 19%|█▉ | 1013/5283 [01:45<07:28, 9.53it/s]\n 19%|█▉ | 1015/5283 [01:45<07:14, 9.82it/s]\n 19%|█▉ | 1016/5283 [01:45<07:27, 9.53it/s]\n 19%|█▉ | 1018/5283 [01:45<07:13, 9.83it/s]\n 19%|█▉ | 1019/5283 [01:45<07:27, 9.52it/s]\n 19%|█▉ | 1021/5283 [01:45<07:14, 9.80it/s]\n 19%|█▉ | 1022/5283 [01:46<07:27, 9.51it/s]\n 19%|█▉ | 1024/5283 [01:46<07:13, 9.82it/s]\n 19%|█▉ | 1025/5283 [01:46<07:26, 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/tmp/tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3 -i temp.mp4 /src/results/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp4\n[mp3 @ 0x5fe7126b8540] Estimating duration from bitrate, this may be inaccurate\nresult is save to /src/results/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp4", "metrics": { "predict_time": 793.188920833, "total_time": 936.34046 }, "output": "https://replicate.delivery/yhqm/5QL3bYQH9y7qMJSy4mIdaeB1e79t4zRNkVGasldAVgerWHlnA/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp4", "started_at": "2024-11-19T12:34:04.307539Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-aawczj5fpaz2vhyh4mlkfrmiyub5ztjopv5mppxdcm6t6pf2dv2q", "get": "https://api.replicate.com/v1/predictions/27zs2x9rchrj60ck8hmaz9wjsg", "cancel": "https://api.replicate.com/v1/predictions/27zs2x9rchrj60ck8hmaz9wjsg/cancel" }, "version": "b7e775591e83379c7c99a3dea151002e92fcd6093609b05200df5fa04d53f1c1" }Generated inplease download ffmpeg-static and export to FFMPEG_PATH. For example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static 2024-11-19 12:34:06.862656: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-11-19 12:34:06.906267: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-11-19 12:34:07.686505: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 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<07:16, 206kB/s] 0%| | 96.0k/85.7M [00:00<04:35, 326kB/s] 0%| | 208k/85.7M [00:00<02:57, 505kB/s] 0%| | 432k/85.7M [00:00<01:42, 872kB/s] 1%| | 880k/85.7M [00:00<00:55, 1.59MB/s] 2%|▏ | 1.73M/85.7M [00:00<00:29, 3.00MB/s] 4%|▍ | 3.50M/85.7M [00:01<00:14, 5.81MB/s] 8%|▊ | 6.98M/85.7M [00:01<00:07, 11.2MB/s] 13%|█▎ | 10.7M/85.7M [00:01<00:05, 15.2MB/s] 17%|█▋ | 14.5M/85.7M [00:01<00:04, 18.1MB/s] 21%|██▏ | 18.3M/85.7M [00:01<00:03, 20.1MB/s] 26%|██▌ | 22.1M/85.7M [00:01<00:03, 21.5MB/s] 30%|███ | 25.9M/85.7M [00:02<00:02, 22.5MB/s] 35%|███▍ | 29.6M/85.7M [00:02<00:02, 23.0MB/s] 39%|███▉ | 33.5M/85.7M [00:02<00:02, 23.5MB/s] 43%|████▎ | 37.2M/85.7M [00:02<00:02, 23.7MB/s] 48%|████▊ | 41.0M/85.7M [00:02<00:01, 24.0MB/s] 52%|█████▏ | 44.8M/85.7M [00:02<00:01, 24.1MB/s] 57%|█████▋ | 48.5M/85.7M [00:03<00:01, 24.2MB/s] 61%|██████ | 52.4M/85.7M [00:03<00:01, 24.3MB/s] 66%|██████▌ | 56.2M/85.7M [00:03<00:01, 24.4MB/s] 70%|██████▉ | 59.9M/85.7M [00:03<00:01, 24.3MB/s] 74%|███████▍ | 63.7M/85.7M [00:03<00:00, 24.3MB/s] 78%|███████▊ | 67.0M/85.7M [00:03<00:00, 23.4MB/s] 83%|████████▎ | 70.8M/85.7M [00:04<00:00, 23.9MB/s] 87%|████████▋ | 74.6M/85.7M [00:04<00:00, 24.1MB/s] 92%|█████████▏| 78.4M/85.7M [00:04<00:00, 24.3MB/s] 96%|█████████▌| 82.1M/85.7M [00:04<00:00, 24.2MB/s] 100%|██████████| 85.7M/85.7M [00:04<00:00, 19.8MB/s] An error occurred while trying to fetch ./models/sd-vae-ft-mse/: Error no file named diffusion_pytorch_model.safetensors found in directory ./models/sd-vae-ft-mse/. Defaulting to unsafe serialization. Pass `allow_pickle=False` to raise an error instead. /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() RUN: predict video in 25.0 FPS, audio idx in 50FPS extracting landmarks...time consuming reading images... 0%| | 0/118 [00:00<?, ?it/s] 6%|▌ | 7/118 [00:00<00:01, 63.33it/s] 12%|█▏ | 14/118 [00:00<00:01, 62.62it/s] 18%|█▊ | 21/118 [00:00<00:01, 62.17it/s] 24%|██▎ | 28/118 [00:00<00:01, 61.64it/s] 30%|██▉ | 35/118 [00:00<00:01, 60.89it/s] 36%|███▌ | 42/118 [00:00<00:01, 60.46it/s] 42%|████▏ [...] log volume exceeds 256KiB size limit: truncating logs [...] 27, 6.77it/s] 10%|█ | 69/661 [00:20<01:27, 6.77it/s] 11%|█ | 70/661 [00:20<01:27, 6.76it/s] 11%|█ | 71/661 [00:20<01:27, 6.76it/s] 11%|█ | 72/661 [00:20<01:27, 6.76it/s] 11%|█ | 73/661 [00:20<01:26, 6.76it/s] 11%|█ | 74/661 [00:20<01:26, 6.76it/s] 11%|█▏ | 75/661 [00:21<01:26, 6.76it/s] 11%|█▏ | 76/661 [00:21<01:26, 6.77it/s] 12%|█▏ | 77/661 [00:21<01:26, 6.78it/s] 12%|█▏ | 78/661 [00:21<01:26, 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[09:06<00:00, 9.53it/s] 100%|█████████▉| 5281/5283 [09:06<00:00, 9.84it/s] 100%|█████████▉| 5282/5283 [09:06<00:00, 9.55it/s] 100%|██████████| 5283/5283 [09:06<00:00, 9.66it/s] ffmpeg -y -v warning -r 25.0 -f image2 -i /src/results/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4/%08d.png -vcodec libx264 -vf format=rgb24,scale=out_color_matrix=bt709,format=yuv420p -crf 18 temp.mp4 ffmpeg -y -v warning -i /tmp/tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp3 -i temp.mp4 /src/results/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp4 [mp3 @ 0x5fe7126b8540] Estimating duration from bitrate, this may be inaccurate result is save to /src/results/tmpgwijzrc3lily-ldwi8a_LdG-2_tmp5w74vyssimg_9518da8f-71c3-4576-9dd2-4e6fc78ef9f4.mp4
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