yuanxunlu
/
livespeechportraits
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
Prediction
yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8Input
- talking_head
- May
- driving_audio
- 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.
{ "talking_head": "May", "driving_audio": "https://replicate.delivery/mgxm/0ce8702e-8f9b-4db9-bdaf-9be0526b54c1/00083.wav" }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 yuanxunlu/livespeechportraits using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", { input: { talking_head: "May", driving_audio: "https://replicate.delivery/mgxm/0ce8702e-8f9b-4db9-bdaf-9be0526b54c1/00083.wav" } } ); console.log(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 yuanxunlu/livespeechportraits using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", input={ "talking_head": "May", "driving_audio": "https://replicate.delivery/mgxm/0ce8702e-8f9b-4db9-bdaf-9be0526b54c1/00083.wav" } ) # The yuanxunlu/livespeechportraits model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/yuanxunlu/livespeechportraits/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run yuanxunlu/livespeechportraits 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": "2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", "input": { "talking_head": "May", "driving_audio": "https://replicate.delivery/mgxm/0ce8702e-8f9b-4db9-bdaf-9be0526b54c1/00083.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-09T23:06:01.112771Z", "created_at": "2021-10-09T23:04:41.190914Z", "data_removed": false, "error": null, "id": "zypzj2weq5ayhjw4lzusakwjqu", "input": { "talking_head": "May", "driving_audio": "https://replicate.delivery/mgxm/0ce8702e-8f9b-4db9-bdaf-9be0526b54c1/00083.wav" }, "logs": "opt:\nNamespace(A2L_GMM_ndim=75, APC_frame_history=0, APC_hidden_size=512, APC_residual=False, APC_rnn_layers=3, FPS=60, LSTM_dropout=0, LSTM_hidden_size=256, LSTM_layers=3, LSTM_output_size=80, LSTM_residual=False, LSTM_sequence_length=60, audioRF_future=0, audioRF_history=60, audio_encoder='APC', batch_size=32, checkpoints_dir='./checkpoints/', dataroot='default_path', dataset_mode='audiovisual', dataset_names='default_name', eval=False, feature_decoder='LSTM', feature_dtype='pts3d', frame_future=18, frame_jump_stride=4, gpu_ids='0', ispts_norm=1, load_epoch='500', loss='L2', max_dataset_size=inf, model='audio2feature', name='Audio2Feature', num_threads=0, only_mouth=1, phase='test', predict_length=1, sample_rate=16000, sequence_length=240, serial_batches=False, suffix='', task='Audio2Feature', time_frame_length=1, use_delta_pts=1, verbose=False)\n----------------- Options ---------------\n A2L_GMM_ndim: 75 \n APC_frame_history: 0 \n APC_hidden_size: 512 \n APC_residual: False \n APC_rnn_layers: 3 \n FPS: 60 \n LSTM_dropout: 0 \n LSTM_hidden_size: 256 \n LSTM_layers: 3 \n LSTM_output_size: 80 \n LSTM_residual: False \n LSTM_sequence_length: 60 \n audioRF_future: 0 \n audioRF_history: 60 \n audio_encoder: APC \n batch_size: 32 \n checkpoints_dir: ./checkpoints/ \n dataroot: default_path \n dataset_mode: audiovisual \n dataset_names: default_name \n eval: False \n feature_decoder: LSTM \n feature_dtype: pts3d \n frame_future: 18 \n frame_jump_stride: 4 \n gpu_ids: 0 \n isTrain: False \t[default: None]\n ispts_norm: 1 \n load_epoch: 500 \n loss: L2 \n max_dataset_size: inf \n model: audio2feature \n name: Audio2Feature \n num_threads: 0 \n only_mouth: 1 \n phase: test \n predict_length: 1 \n sample_rate: 16000 \n sequence_length: 240 \n serial_batches: False \n suffix: \n task: Audio2Feature \n time_frame_length: 1 \n use_delta_pts: 1 \n verbose: False \n----------------- End -------------------\n----------------- Options ---------------\n A2H_GMM_ncenter: 1 \n A2H_GMM_ndim: 12 \n A2H_GMM_sigma_min: 0.03 \n A2H_wavenet_cond: True \nA2H_wavenet_cond_channels: 512 \nA2H_wavenet_dilation_channels: 128 \nA2H_wavenet_input_channels: 12 \n A2H_wavenet_kernel_size: 2 \nA2H_wavenet_residual_blocks: 2 \nA2H_wavenet_residual_channels: 128 \nA2H_wavenet_residual_layers: 7 \nA2H_wavenet_skip_channels: 256 \n A2H_wavenet_use_bias: True \n APC_frame_history: 60 \n APC_hidden_size: 512 \n APC_residual: False \n APC_rnn_layers: 3 \n FPS: 60 \n audioRF_future: 0 \n audioRF_history: 60 \n audio_encoder: APC \n audio_windows: 2 \naudiofeature_input_channels: 80 \n batch_size: 32 \n checkpoints_dir: ./checkpoints/ \n dataroot: path \n dataset_mode: audiovisual \n dataset_names: name \n eval: False \n feature_decoder: WaveNet \n frame_future: 15 \n frame_jump_stride: 1 \n gpu_ids: 0 \n isTrain: False \t[default: None]\n load_epoch: 500 \n loss: GMM \n max_dataset_size: inf \n model: audio2headpose \n name: Audio2Headpose \n num_threads: 0 \n phase: test \n predict_length: 5 \n sample_rate: 16000 \n sequence_length: 240 \n serial_batches: False \n suffix: \n task: Audio2Headpose \n time_frame_length: 1 \n verbose: False \n----------------- End -------------------\n------------ Options -------------\nbatch_size: 1\ncheckpoints_dir: ./checkpoints/\ndataroot: ./data/\ndataset_mode: face\ndataset_names: ['name']\ndebug: False\ndisplay_id: 0\ndisplay_winsize: 512\nfineSize: 512\nfp16: 0\ngpu_ids: [0]\ninput_nc: 1\nisH5: 1\nisMask: 0\nisTrain: False\nloadSize: 512\nload_pretrain:\nlocal_rank: 0\nmax_dataset_size: inf\nmodel: feature2face\nn_blocks_E: 3\nn_downsample_E: 3\nn_downsample_G: 8\nname: TestRender\nngf: 64\nngf_E: 16\nno_flip: 1\nnum_threads: 0\noutput_nc: 3\nphase: test\nresize_or_crop: scaleWidth\nserial_batches: False\nsuffix: .jpg\ntask: Feature2Face\ntest_dataset_names: ['name']\ntf_log: True\nverbose: False\n-------------- End ----------------\n---------- Loading Model: APC-------------\n---------- Loading Model: Audio2Feature -------------\ninitialize network with normal\nmodel [Audio2FeatureModel] was created\nloading the model from ./data/May/checkpoints/Audio2Feature.pkl\n---------- Networks initialized -------------\n[Network Audio2Feature] Total number of parameters : 3.064 M\n-----------------------------------------------\n---------- Loading Model: Audio2Headpose -------------\ninitialize network with normal\nmodel [Audio2HeadposeModel] was created\nloading the model from ./data/May/checkpoints/Audio2Headpose.pkl\n---------- Networks initialized -------------\n[Network Audio2Headpose] Total number of parameters : 4.267 M\n-----------------------------------------------\n---------- Loading Model: Feature2Face -------------\ndataset [FaceDataset] was created\n---------- Generator networks initialized -------------\n-------------------------------------------------------\ninitialize network with normal\nmodel [Feature2FaceModel] was created\nloading the model from ./data/May/checkpoints/Feature2Face.pkl\n---------- Networks initialized -------------\n[Network Feature2Face_G] Total number of parameters : 121.790 M\n-----------------------------------------------\nProcessing audio: 00083 ...\n1. Computing APC features...\n2. Manifold projection...\n\nLLE projection: 0%| | 0/1374 [00:00<?, ?it/s]\n\nLLE projection: 100%|##########| 1374/1374 [00:00<00:00, 17595.52it/s]\n3. Audio2Mouth inference...\n4. 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translation inference: 99%|#########9| 668/672 [00:59<00:00, 11.26it/s]\n\nImage2Image translation inference: 100%|#########9| 670/672 [00:59<00:00, 11.24it/s]\n\nImage2Image translation inference: 100%|##########| 672/672 [00:59<00:00, 11.23it/s]\n\nImage2Image translation inference: 100%|##########| 672/672 [00:59<00:00, 11.25it/s]\n\nwriting video: 0%| | 0/672 [00:00<?, ?it/s]\n\nwriting video: 3%|3 | 23/672 [00:00<00:02, 225.21it/s]\n\nwriting video: 7%|6 | 46/672 [00:00<00:02, 226.18it/s]\n\nwriting video: 10%|# | 70/672 [00:00<00:02, 229.29it/s]\n\nwriting video: 14%|#4 | 95/672 [00:00<00:02, 234.53it/s]\n\nwriting video: 18%|#7 | 119/672 [00:00<00:02, 235.56it/s]\n\nwriting video: 21%|##1 | 143/672 [00:00<00:02, 235.87it/s]\n\nwriting video: 25%|##4 | 167/672 [00:00<00:02, 235.72it/s]\n\nwriting video: 28%|##8 | 191/672 [00:00<00:02, 235.96it/s]\n\nwriting video: 32%|###2 | 216/672 [00:00<00:01, 237.31it/s]\n\nwriting video: 36%|###5 | 240/672 [00:01<00:01, 236.43it/s]\n\nwriting video: 39%|###9 | 264/672 [00:01<00:01, 236.42it/s]\n\nwriting video: 43%|####2 | 288/672 [00:01<00:01, 236.57it/s]\n\nwriting video: 46%|####6 | 312/672 [00:01<00:01, 234.63it/s]\n\nwriting video: 50%|##### | 336/672 [00:01<00:01, 234.17it/s]\n\nwriting video: 54%|#####3 | 360/672 [00:01<00:01, 230.24it/s]\n\nwriting video: 57%|#####7 | 384/672 [00:01<00:01, 229.25it/s]\n\nwriting video: 61%|###### | 408/672 [00:01<00:01, 229.96it/s]\n\nwriting video: 64%|######4 | 432/672 [00:01<00:01, 230.35it/s]\n\nwriting video: 68%|######8 | 457/672 [00:01<00:00, 233.33it/s]\n\nwriting video: 72%|#######1 | 481/672 [00:02<00:00, 231.95it/s]\n\nwriting video: 75%|#######5 | 505/672 [00:02<00:00, 231.40it/s]\n\nwriting video: 79%|#######8 | 530/672 [00:02<00:00, 234.05it/s]\n\nwriting video: 82%|########2 | 554/672 [00:02<00:00, 234.48it/s]\n\nwriting video: 86%|########6 | 578/672 [00:02<00:00, 234.70it/s]\n\nwriting video: 90%|########9 | 602/672 [00:02<00:00, 233.52it/s]\n\nwriting video: 93%|#########3| 626/672 [00:02<00:00, 232.72it/s]\n\nwriting video: 97%|#########6| 650/672 [00:02<00:00, 234.30it/s]\n\nwriting video: 100%|##########| 672/672 [00:02<00:00, 233.69it/s]\n\ndeleting intermediate images: 0%| | 0/1344 [00:00<?, ?it/s]\n\ndeleting intermediate images: 100%|##########| 1344/1344 [00:00<00:00, 25067.68it/s]\nFinish!", "metrics": { "total_time": 79.921857 }, "output": [ { "file": "https://replicate.delivery/mgxm/84f3da39-9b5c-4575-9fb9-0397fe0e85e0/out.mp4" } ], "started_at": "2021-12-07T13:44:10.839039Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zypzj2weq5ayhjw4lzusakwjqu", "cancel": "https://api.replicate.com/v1/predictions/zypzj2weq5ayhjw4lzusakwjqu/cancel" }, "version": "2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8" }opt: Namespace(A2L_GMM_ndim=75, APC_frame_history=0, APC_hidden_size=512, APC_residual=False, APC_rnn_layers=3, FPS=60, LSTM_dropout=0, LSTM_hidden_size=256, LSTM_layers=3, LSTM_output_size=80, LSTM_residual=False, LSTM_sequence_length=60, audioRF_future=0, audioRF_history=60, audio_encoder='APC', batch_size=32, checkpoints_dir='./checkpoints/', dataroot='default_path', dataset_mode='audiovisual', dataset_names='default_name', eval=False, feature_decoder='LSTM', feature_dtype='pts3d', frame_future=18, frame_jump_stride=4, gpu_ids='0', ispts_norm=1, load_epoch='500', loss='L2', max_dataset_size=inf, model='audio2feature', name='Audio2Feature', num_threads=0, only_mouth=1, phase='test', predict_length=1, sample_rate=16000, sequence_length=240, serial_batches=False, suffix='', task='Audio2Feature', time_frame_length=1, use_delta_pts=1, verbose=False) ----------------- Options --------------- A2L_GMM_ndim: 75 APC_frame_history: 0 APC_hidden_size: 512 APC_residual: False APC_rnn_layers: 3 FPS: 60 LSTM_dropout: 0 LSTM_hidden_size: 256 LSTM_layers: 3 LSTM_output_size: 80 LSTM_residual: False LSTM_sequence_length: 60 audioRF_future: 0 audioRF_history: 60 audio_encoder: APC batch_size: 32 checkpoints_dir: ./checkpoints/ dataroot: default_path dataset_mode: audiovisual dataset_names: default_name eval: False feature_decoder: LSTM feature_dtype: pts3d frame_future: 18 frame_jump_stride: 4 gpu_ids: 0 isTrain: False [default: None] ispts_norm: 1 load_epoch: 500 loss: L2 max_dataset_size: inf model: audio2feature name: Audio2Feature num_threads: 0 only_mouth: 1 phase: test predict_length: 1 sample_rate: 16000 sequence_length: 240 serial_batches: False suffix: task: Audio2Feature time_frame_length: 1 use_delta_pts: 1 verbose: False ----------------- End ------------------- ----------------- Options --------------- A2H_GMM_ncenter: 1 A2H_GMM_ndim: 12 A2H_GMM_sigma_min: 0.03 A2H_wavenet_cond: True A2H_wavenet_cond_channels: 512 A2H_wavenet_dilation_channels: 128 A2H_wavenet_input_channels: 12 A2H_wavenet_kernel_size: 2 A2H_wavenet_residual_blocks: 2 A2H_wavenet_residual_channels: 128 A2H_wavenet_residual_layers: 7 A2H_wavenet_skip_channels: 256 A2H_wavenet_use_bias: True APC_frame_history: 60 APC_hidden_size: 512 APC_residual: False APC_rnn_layers: 3 FPS: 60 audioRF_future: 0 audioRF_history: 60 audio_encoder: APC audio_windows: 2 audiofeature_input_channels: 80 batch_size: 32 checkpoints_dir: ./checkpoints/ dataroot: path dataset_mode: audiovisual dataset_names: name eval: False feature_decoder: WaveNet frame_future: 15 frame_jump_stride: 1 gpu_ids: 0 isTrain: False [default: None] load_epoch: 500 loss: GMM max_dataset_size: inf model: audio2headpose name: Audio2Headpose num_threads: 0 phase: test predict_length: 5 sample_rate: 16000 sequence_length: 240 serial_batches: False suffix: task: Audio2Headpose time_frame_length: 1 verbose: False ----------------- End ------------------- ------------ Options ------------- batch_size: 1 checkpoints_dir: ./checkpoints/ dataroot: ./data/ dataset_mode: face dataset_names: ['name'] debug: False display_id: 0 display_winsize: 512 fineSize: 512 fp16: 0 gpu_ids: [0] input_nc: 1 isH5: 1 isMask: 0 isTrain: False loadSize: 512 load_pretrain: local_rank: 0 max_dataset_size: inf model: feature2face n_blocks_E: 3 n_downsample_E: 3 n_downsample_G: 8 name: TestRender ngf: 64 ngf_E: 16 no_flip: 1 num_threads: 0 output_nc: 3 phase: test resize_or_crop: scaleWidth serial_batches: False suffix: .jpg task: Feature2Face test_dataset_names: ['name'] tf_log: True verbose: False -------------- End ---------------- ---------- Loading Model: APC------------- ---------- Loading Model: Audio2Feature ------------- initialize network with normal model [Audio2FeatureModel] was created loading the model from ./data/May/checkpoints/Audio2Feature.pkl ---------- Networks initialized ------------- [Network Audio2Feature] Total number of parameters : 3.064 M ----------------------------------------------- ---------- Loading Model: Audio2Headpose ------------- initialize network with normal model [Audio2HeadposeModel] was created loading the model from ./data/May/checkpoints/Audio2Headpose.pkl ---------- Networks initialized ------------- [Network Audio2Headpose] Total number of parameters : 4.267 M ----------------------------------------------- ---------- Loading Model: Feature2Face ------------- dataset [FaceDataset] was created ---------- Generator networks initialized ------------- ------------------------------------------------------- initialize network with normal model [Feature2FaceModel] was created loading the model from ./data/May/checkpoints/Feature2Face.pkl ---------- Networks initialized ------------- [Network Feature2Face_G] Total number of parameters : 121.790 M ----------------------------------------------- Processing audio: 00083 ... 1. Computing APC features... 2. Manifold projection... LLE projection: 0%| | 0/1374 [00:00<?, ?it/s] LLE projection: 100%|##########| 1374/1374 [00:00<00:00, 17595.52it/s] 3. Audio2Mouth inference... 4. Headpose inference... generating headpose: 0%| | 0/672 [00:00<?, ?it/s] generating headpose: 1%|1 | 8/672 [00:00<00:09, 73.20it/s] generating headpose: 2%|2 | 16/672 [00:00<00:08, 73.92it/s] generating headpose: 4%|3 | 24/672 [00:00<00:08, 73.88it/s] generating headpose: 5%|4 | 32/672 [00:00<00:08, 74.02it/s] generating headpose: 6%|5 | 40/672 [00:00<00:08, 74.01it/s] generating headpose: 7%|7 | 48/672 [00:00<00:08, 73.90it/s] generating headpose: 8%|8 | 56/672 [00:00<00:08, 73.33it/s] generating headpose: 10%|9 | 64/672 [00:00<00:08, 73.49it/s] generating headpose: 11%|# | 72/672 [00:00<00:08, 73.37it/s] generating headpose: 12%|#1 | 80/672 [00:01<00:08, 73.92it/s] generating headpose: 13%|#3 | 88/672 [00:01<00:07, 73.44it/s] generating headpose: 14%|#4 | 96/672 [00:01<00:07, 73.51it/s] generating headpose: 15%|#5 | 104/672 [00:01<00:07, 73.95it/s] generating headpose: 17%|#6 | 112/672 [00:01<00:07, 73.98it/s] generating headpose: 18%|#7 | 120/672 [00:01<00:07, 73.46it/s] generating 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[00:03<00:05, 72.92it/s] generating headpose: 38%|###8 | 256/672 [00:03<00:05, 73.69it/s] generating headpose: 39%|###9 | 264/672 [00:03<00:05, 74.28it/s] generating headpose: 40%|#### | 272/672 [00:03<00:05, 73.73it/s] generating headpose: 42%|####1 | 280/672 [00:03<00:05, 73.95it/s] generating headpose: 43%|####2 | 288/672 [00:03<00:05, 74.11it/s] generating headpose: 44%|####4 | 296/672 [00:04<00:05, 74.29it/s] generating headpose: 45%|####5 | 304/672 [00:04<00:05, 72.79it/s] generating headpose: 46%|####6 | 312/672 [00:04<00:04, 73.03it/s] generating headpose: 48%|####7 | 320/672 [00:04<00:04, 73.52it/s] generating headpose: 49%|####8 | 328/672 [00:04<00:04, 73.64it/s] generating headpose: 50%|##### | 336/672 [00:04<00:04, 73.40it/s] generating headpose: 51%|#####1 | 344/672 [00:04<00:04, 73.26it/s] generating headpose: 52%|#####2 | 352/672 [00:04<00:04, 73.42it/s] generating headpose: 54%|#####3 | 360/672 [00:04<00:04, 71.14it/s] generating headpose: 55%|#####4 | 368/672 [00:05<00:04, 70.78it/s] generating headpose: 56%|#####5 | 376/672 [00:05<00:04, 71.56it/s] generating headpose: 57%|#####7 | 384/672 [00:05<00:04, 71.92it/s] generating headpose: 58%|#####8 | 392/672 [00:05<00:03, 72.47it/s] generating headpose: 60%|#####9 | 400/672 [00:05<00:03, 71.35it/s] generating headpose: 61%|###### | 408/672 [00:05<00:03, 70.53it/s] generating headpose: 62%|######1 | 416/672 [00:05<00:03, 71.45it/s] generating headpose: 63%|######3 | 424/672 [00:05<00:03, 71.68it/s] generating headpose: 64%|######4 | 432/672 [00:05<00:03, 71.88it/s] generating headpose: 65%|######5 | 440/672 [00:06<00:03, 72.87it/s] generating headpose: 67%|######6 | 448/672 [00:06<00:03, 73.01it/s] generating headpose: 68%|######7 | 456/672 [00:06<00:02, 73.27it/s] generating headpose: 69%|######9 | 464/672 [00:06<00:02, 73.61it/s] generating headpose: 70%|####### | 472/672 [00:06<00:02, 74.00it/s] generating headpose: 71%|#######1 | 480/672 [00:06<00:02, 74.31it/s] generating headpose: 73%|#######2 | 488/672 [00:06<00:02, 73.34it/s] generating headpose: 74%|#######3 | 496/672 [00:06<00:02, 73.28it/s] generating headpose: 75%|#######5 | 504/672 [00:06<00:02, 73.82it/s] generating headpose: 76%|#######6 | 512/672 [00:06<00:02, 74.55it/s] generating headpose: 77%|#######7 | 520/672 [00:07<00:02, 74.23it/s] generating headpose: 79%|#######8 | 528/672 [00:07<00:01, 72.96it/s] generating headpose: 80%|#######9 | 536/672 [00:07<00:01, 73.79it/s] generating headpose: 81%|######## | 544/672 [00:07<00:01, 74.38it/s] generating headpose: 82%|########2 | 552/672 [00:07<00:01, 74.99it/s] generating headpose: 83%|########3 | 560/672 [00:07<00:01, 74.55it/s] generating headpose: 85%|########4 | 568/672 [00:07<00:01, 74.74it/s] generating headpose: 86%|########5 | 576/672 [00:07<00:01, 75.02it/s] generating headpose: 87%|########6 | 584/672 [00:07<00:01, 74.91it/s] generating headpose: 88%|########8 | 592/672 [00:08<00:01, 75.34it/s] generating headpose: 89%|########9 | 600/672 [00:08<00:00, 75.07it/s] generating headpose: 90%|######### | 608/672 [00:08<00:00, 75.32it/s] generating headpose: 92%|#########1| 616/672 [00:08<00:00, 75.68it/s] generating headpose: 93%|#########2| 624/672 [00:08<00:00, 75.92it/s] generating headpose: 94%|#########4| 632/672 [00:08<00:00, 75.91it/s] generating headpose: 95%|#########5| 640/672 [00:08<00:00, 74.65it/s] generating headpose: 96%|#########6| 648/672 [00:08<00:00, 74.72it/s] generating headpose: 98%|#########7| 656/672 [00:08<00:00, 74.53it/s] generating headpose: 99%|#########8| 664/672 [00:09<00:00, 74.95it/s] generating headpose: 100%|##########| 672/672 [00:09<00:00, 74.67it/s] generating headpose: 100%|##########| 672/672 [00:09<00:00, 73.60it/s] 5. Post-processing... 0%| | 0/672 [00:00<?, ?it/s] 100%|##########| 672/672 [00:00<00:00, 19551.15it/s] 6. Image2Image translation & Saving results... Image2Image translation inference: 0%| | 0/672 [00:00<?, ?it/s] Image2Image translation inference: 0%| | 1/672 [00:00<01:13, 9.10it/s] Image2Image translation inference: 0%| | 2/672 [00:00<01:11, 9.37it/s] Image2Image translation inference: 1%| | 4/672 [00:00<01:05, 10.17it/s] Image2Image translation inference: 1%| | 6/672 [00:00<01:01, 10.77it/s] Image2Image translation inference: 1%|1 | 8/672 [00:00<00:59, 11.09it/s] Image2Image translation inference: 1%|1 | 10/672 [00:00<00:58, 11.27it/s] Image2Image translation inference: 2%|1 | 12/672 [00:01<00:58, 11.24it/s] Image2Image translation inference: 2%|2 | 14/672 [00:01<00:58, 11.29it/s] Image2Image translation inference: 2%|2 | 16/672 [00:01<00:57, 11.34it/s] Image2Image translation inference: 3%|2 | 18/672 [00:01<00:57, 11.39it/s] Image2Image translation inference: 3%|2 | 20/672 [00:01<00:57, 11.40it/s] Image2Image translation inference: 3%|3 | 22/672 [00:01<00:57, 11.38it/s] Image2Image translation inference: 4%|3 | 24/672 [00:02<00:56, 11.41it/s] Image2Image translation inference: 4%|3 | 26/672 [00:02<00:56, 11.44it/s] Image2Image translation inference: 4%|4 | 28/672 [00:02<00:56, 11.44it/s] Image2Image translation inference: 4%|4 | 30/672 [00:02<00:55, 11.48it/s] Image2Image translation inference: 5%|4 | 32/672 [00:02<00:55, 11.43it/s] Image2Image translation inference: 5%|5 | 34/672 [00:03<00:55, 11.42it/s] Image2Image translation inference: 5%|5 | 36/672 [00:03<00:55, 11.45it/s] Image2Image translation inference: 6%|5 | 38/672 [00:03<00:55, 11.44it/s] Image2Image translation inference: 6%|5 | 40/672 [00:03<00:55, 11.41it/s] Image2Image translation inference: 6%|6 | 42/672 [00:03<00:55, 11.45it/s] Image2Image translation inference: 7%|6 | 44/672 [00:03<00:54, 11.45it/s] Image2Image translation inference: 7%|6 | 46/672 [00:04<00:54, 11.45it/s] Image2Image translation inference: 7%|7 | 48/672 [00:04<00:54, 11.43it/s] Image2Image translation inference: 7%|7 | 50/672 [00:04<00:54, 11.42it/s] Image2Image translation inference: 8%|7 | 52/672 [00:04<00:54, 11.44it/s] Image2Image translation inference: 8%|8 | 54/672 [00:04<00:54, 11.44it/s] Image2Image translation inference: 8%|8 | 56/672 [00:04<00:54, 11.38it/s] Image2Image translation inference: 9%|8 | 58/672 [00:05<00:53, 11.39it/s] Image2Image translation inference: 9%|8 | 60/672 [00:05<00:53, 11.41it/s] Image2Image translation inference: 9%|9 | 62/672 [00:05<00:53, 11.42it/s] Image2Image translation inference: 10%|9 | 64/672 [00:05<00:53, 11.44it/s] Image2Image translation inference: 10%|9 | 66/672 [00:05<00:52, 11.44it/s] Image2Image translation inference: 10%|# | 68/672 [00:05<00:52, 11.47it/s] Image2Image translation inference: 10%|# | 70/672 [00:06<00:52, 11.49it/s] Image2Image translation inference: 11%|# | 72/672 [00:06<00:52, 11.41it/s] Image2Image translation inference: 11%|#1 | 74/672 [00:06<00:52, 11.42it/s] Image2Image translation inference: 11%|#1 | 76/672 [00:06<00:52, 11.41it/s] Image2Image translation inference: 12%|#1 | 78/672 [00:06<00:52, 11.41it/s] Image2Image translation inference: 12%|#1 | 80/672 [00:07<00:51, 11.41it/s] Image2Image translation inference: 12%|#2 | 82/672 [00:07<00:51, 11.41it/s] Image2Image translation inference: 12%|#2 | 84/672 [00:07<00:51, 11.45it/s] Image2Image translation inference: 13%|#2 | 86/672 [00:07<00:51, 11.42it/s] Image2Image translation inference: 13%|#3 | 88/672 [00:07<00:51, 11.45it/s] Image2Image translation inference: 13%|#3 | 90/672 [00:07<00:50, 11.45it/s] Image2Image translation inference: 14%|#3 | 92/672 [00:08<00:50, 11.46it/s] Image2Image translation inference: 14%|#3 | 94/672 [00:08<00:50, 11.45it/s] Image2Image translation inference: 14%|#4 | 96/672 [00:08<00:50, 11.41it/s] Image2Image translation inference: 15%|#4 | 98/672 [00:08<00:50, 11.42it/s] Image2Image translation inference: 15%|#4 | 100/672 [00:08<00:50, 11.43it/s] Image2Image translation inference: 15%|#5 | 102/672 [00:08<00:49, 11.40it/s] Image2Image translation inference: 15%|#5 | 104/672 [00:09<00:49, 11.38it/s] Image2Image translation inference: 16%|#5 | 106/672 [00:09<00:49, 11.41it/s] Image2Image translation inference: 16%|#6 | 108/672 [00:09<00:49, 11.41it/s] Image2Image translation inference: 16%|#6 | 110/672 [00:09<00:49, 11.45it/s] Image2Image translation inference: 17%|#6 | 112/672 [00:09<00:49, 11.43it/s] Image2Image translation inference: 17%|#6 | 114/672 [00:10<00:48, 11.44it/s] Image2Image translation inference: 17%|#7 | 116/672 [00:10<00:48, 11.41it/s] Image2Image translation inference: 18%|#7 | 118/672 [00:10<00:48, 11.32it/s] Image2Image translation inference: 18%|#7 | 120/672 [00:10<00:48, 11.29it/s] Image2Image translation inference: 18%|#8 | 122/672 [00:10<00:48, 11.28it/s] Image2Image translation inference: 18%|#8 | 124/672 [00:10<00:48, 11.30it/s] Image2Image translation inference: 19%|#8 | 126/672 [00:11<00:48, 11.31it/s] Image2Image translation inference: 19%|#9 | 128/672 [00:11<00:47, 11.35it/s] Image2Image translation inference: 19%|#9 | 130/672 [00:11<00:47, 11.34it/s] Image2Image translation inference: 20%|#9 | 132/672 [00:11<00:47, 11.38it/s] Image2Image translation inference: 20%|#9 | 134/672 [00:11<00:47, 11.39it/s] Image2Image translation inference: 20%|## | 136/672 [00:11<00:47, 11.40it/s] Image2Image translation inference: 21%|## | 138/672 [00:12<00:46, 11.40it/s] Image2Image translation inference: 21%|## | 140/672 [00:12<00:46, 11.38it/s] Image2Image translation inference: 21%|##1 | 142/672 [00:12<00:46, 11.35it/s] Image2Image translation inference: 21%|##1 | 144/672 [00:12<00:46, 11.35it/s] Image2Image translation inference: 22%|##1 | 146/672 [00:12<00:46, 11.37it/s] Image2Image translation inference: 22%|##2 | 148/672 [00:13<00:46, 11.35it/s] Image2Image translation inference: 22%|##2 | 150/672 [00:13<00:46, 11.34it/s] Image2Image translation inference: 23%|##2 | 152/672 [00:13<00:45, 11.39it/s] Image2Image translation inference: 23%|##2 | 154/672 [00:13<00:45, 11.36it/s] Image2Image translation inference: 23%|##3 | 156/672 [00:13<00:45, 11.37it/s] Image2Image translation inference: 24%|##3 | 158/672 [00:13<00:45, 11.31it/s] Image2Image translation inference: 24%|##3 | 160/672 [00:14<00:45, 11.32it/s] Image2Image translation inference: 24%|##4 | 162/672 [00:14<00:45, 11.31it/s] Image2Image translation inference: 24%|##4 | 164/672 [00:14<00:44, 11.34it/s] Image2Image translation inference: 25%|##4 | 166/672 [00:14<00:44, 11.34it/s] Image2Image translation inference: 25%|##5 | 168/672 [00:14<00:44, 11.32it/s] Image2Image translation inference: 25%|##5 | 170/672 [00:14<00:44, 11.33it/s] Image2Image translation inference: 26%|##5 | 172/672 [00:15<00:44, 11.33it/s] Image2Image translation inference: 26%|##5 | 174/672 [00:15<00:43, 11.34it/s] Image2Image translation inference: 26%|##6 | 176/672 [00:15<00:43, 11.34it/s] Image2Image translation inference: 26%|##6 | 178/672 [00:15<00:43, 11.35it/s] Image2Image translation inference: 27%|##6 | 180/672 [00:15<00:43, 11.36it/s] Image2Image translation inference: 27%|##7 | 182/672 [00:16<00:43, 11.35it/s] Image2Image translation inference: 27%|##7 | 184/672 [00:16<00:42, 11.36it/s] Image2Image translation inference: 28%|##7 | 186/672 [00:16<00:42, 11.32it/s] Image2Image translation inference: 28%|##7 | 188/672 [00:16<00:42, 11.33it/s] Image2Image translation inference: 28%|##8 | 190/672 [00:16<00:42, 11.29it/s] Image2Image translation inference: 29%|##8 | 192/672 [00:16<00:42, 11.26it/s] Image2Image translation inference: 29%|##8 | 194/672 [00:17<00:42, 11.28it/s] Image2Image translation inference: 29%|##9 | 196/672 [00:17<00:42, 11.32it/s] Image2Image translation inference: 29%|##9 | 198/672 [00:17<00:41, 11.32it/s] Image2Image translation inference: 30%|##9 | 200/672 [00:17<00:41, 11.31it/s] Image2Image translation inference: 30%|### | 202/672 [00:17<00:41, 11.33it/s] Image2Image translation inference: 30%|### | 204/672 [00:17<00:41, 11.34it/s] Image2Image translation inference: 31%|### | 206/672 [00:18<00:41, 11.33it/s] Image2Image translation inference: 31%|### | 208/672 [00:18<00:41, 11.31it/s] Image2Image translation inference: 31%|###1 | 210/672 [00:18<00:40, 11.29it/s] Image2Image translation inference: 32%|###1 | 212/672 [00:18<00:40, 11.30it/s] Image2Image translation inference: 32%|###1 | 214/672 [00:18<00:40, 11.31it/s] Image2Image translation inference: 32%|###2 | 216/672 [00:19<00:40, 11.31it/s] Image2Image translation inference: 32%|###2 | 218/672 [00:19<00:40, 11.32it/s] Image2Image translation inference: 33%|###2 | 220/672 [00:19<00:39, 11.34it/s] Image2Image translation inference: 33%|###3 | 222/672 [00:19<00:39, 11.33it/s] Image2Image translation inference: 33%|###3 | 224/672 [00:19<00:39, 11.29it/s] Image2Image translation inference: 34%|###3 | 226/672 [00:19<00:39, 11.31it/s] Image2Image translation inference: 34%|###3 | 228/672 [00:20<00:39, 11.32it/s] Image2Image translation inference: 34%|###4 | 230/672 [00:20<00:39, 11.33it/s] Image2Image translation inference: 35%|###4 | 232/672 [00:20<00:38, 11.32it/s] Image2Image translation inference: 35%|###4 | 234/672 [00:20<00:38, 11.31it/s] Image2Image translation inference: 35%|###5 | 236/672 [00:20<00:38, 11.30it/s] Image2Image translation inference: 35%|###5 | 238/672 [00:20<00:38, 11.24it/s] Image2Image translation inference: 36%|###5 | 240/672 [00:21<00:38, 11.26it/s] Image2Image translation inference: 36%|###6 | 242/672 [00:21<00:38, 11.28it/s] Image2Image translation inference: 36%|###6 | 244/672 [00:21<00:37, 11.28it/s] Image2Image translation inference: 37%|###6 | 246/672 [00:21<00:37, 11.27it/s] Image2Image translation inference: 37%|###6 | 248/672 [00:21<00:37, 11.26it/s] Image2Image translation inference: 37%|###7 | 250/672 [00:22<00:37, 11.28it/s] Image2Image translation inference: 38%|###7 | 252/672 [00:22<00:37, 11.32it/s] Image2Image translation inference: 38%|###7 | 254/672 [00:22<00:36, 11.31it/s] Image2Image translation inference: 38%|###8 | 256/672 [00:22<00:36, 11.33it/s] Image2Image translation inference: 38%|###8 | 258/672 [00:22<00:36, 11.33it/s] Image2Image translation inference: 39%|###8 | 260/672 [00:22<00:36, 11.27it/s] Image2Image translation inference: 39%|###8 | 262/672 [00:23<00:36, 11.21it/s] Image2Image translation inference: 39%|###9 | 264/672 [00:23<00:36, 11.14it/s] Image2Image translation inference: 40%|###9 | 266/672 [00:23<00:36, 11.18it/s] Image2Image translation inference: 40%|###9 | 268/672 [00:23<00:36, 11.20it/s] Image2Image translation inference: 40%|#### | 270/672 [00:23<00:35, 11.19it/s] Image2Image translation inference: 40%|#### | 272/672 [00:23<00:35, 11.22it/s] Image2Image translation inference: 41%|#### | 274/672 [00:24<00:35, 11.27it/s] Image2Image translation inference: 41%|####1 | 276/672 [00:24<00:35, 11.28it/s] Image2Image translation inference: 41%|####1 | 278/672 [00:24<00:35, 11.24it/s] Image2Image translation inference: 42%|####1 | 280/672 [00:24<00:34, 11.24it/s] Image2Image translation inference: 42%|####1 | 282/672 [00:24<00:34, 11.24it/s] Image2Image translation inference: 42%|####2 | 284/672 [00:25<00:34, 11.27it/s] Image2Image translation inference: 43%|####2 | 286/672 [00:25<00:34, 11.27it/s] Image2Image translation inference: 43%|####2 | 288/672 [00:25<00:34, 11.26it/s] Image2Image translation inference: 43%|####3 | 290/672 [00:25<00:33, 11.26it/s] Image2Image translation inference: 43%|####3 | 292/672 [00:25<00:33, 11.21it/s] Image2Image translation inference: 44%|####3 | 294/672 [00:25<00:33, 11.22it/s] Image2Image translation inference: 44%|####4 | 296/672 [00:26<00:33, 11.23it/s] Image2Image translation inference: 44%|####4 | 298/672 [00:26<00:33, 11.25it/s] Image2Image translation inference: 45%|####4 | 300/672 [00:26<00:33, 11.27it/s] Image2Image translation inference: 45%|####4 | 302/672 [00:26<00:32, 11.23it/s] Image2Image translation inference: 45%|####5 | 304/672 [00:26<00:32, 11.19it/s] Image2Image translation inference: 46%|####5 | 306/672 [00:27<00:32, 11.21it/s] Image2Image translation inference: 46%|####5 | 308/672 [00:27<00:32, 11.22it/s] Image2Image translation inference: 46%|####6 | 310/672 [00:27<00:32, 11.24it/s] Image2Image translation inference: 46%|####6 | 312/672 [00:27<00:31, 11.25it/s] Image2Image translation inference: 47%|####6 | 314/672 [00:27<00:31, 11.25it/s] Image2Image translation inference: 47%|####7 | 316/672 [00:27<00:31, 11.21it/s] Image2Image translation inference: 47%|####7 | 318/672 [00:28<00:31, 11.17it/s] Image2Image translation inference: 48%|####7 | 320/672 [00:28<00:31, 11.17it/s] Image2Image translation inference: 48%|####7 | 322/672 [00:28<00:31, 11.19it/s] Image2Image translation inference: 48%|####8 | 324/672 [00:28<00:31, 11.22it/s] Image2Image translation inference: 49%|####8 | 326/672 [00:28<00:30, 11.20it/s] Image2Image translation inference: 49%|####8 | 328/672 [00:28<00:30, 11.18it/s] Image2Image translation inference: 49%|####9 | 330/672 [00:29<00:30, 11.21it/s] Image2Image translation inference: 49%|####9 | 332/672 [00:29<00:30, 11.09it/s] Image2Image translation inference: 50%|####9 | 334/672 [00:29<00:30, 11.14it/s] Image2Image translation inference: 50%|##### | 336/672 [00:29<00:30, 11.18it/s] Image2Image translation inference: 50%|##### | 338/672 [00:29<00:29, 11.19it/s] Image2Image translation inference: 51%|##### | 340/672 [00:30<00:29, 11.19it/s] Image2Image translation inference: 51%|##### | 342/672 [00:30<00:29, 11.18it/s] Image2Image translation inference: 51%|#####1 | 344/672 [00:30<00:29, 11.16it/s] Image2Image translation inference: 51%|#####1 | 346/672 [00:30<00:29, 11.18it/s] Image2Image translation inference: 52%|#####1 | 348/672 [00:30<00:29, 11.16it/s] Image2Image translation inference: 52%|#####2 | 350/672 [00:30<00:28, 11.18it/s] Image2Image translation inference: 52%|#####2 | 352/672 [00:31<00:28, 11.20it/s] Image2Image translation inference: 53%|#####2 | 354/672 [00:31<00:28, 11.16it/s] Image2Image translation inference: 53%|#####2 | 356/672 [00:31<00:28, 11.15it/s] 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intermediate images: 0%| | 0/1344 [00:00<?, ?it/s] deleting intermediate images: 100%|##########| 1344/1344 [00:00<00:00, 25067.68it/s] Finish!Prediction
yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8Input
- talking_head
- Obama1
- driving_audio
- 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.
{ "talking_head": "Obama1", "driving_audio": "https://replicate.delivery/mgxm/d11de8fe-824c-4e23-8eb5-fa6fe266d6f9/00083.wav" }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 yuanxunlu/livespeechportraits using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", { input: { talking_head: "Obama1", driving_audio: "https://replicate.delivery/mgxm/d11de8fe-824c-4e23-8eb5-fa6fe266d6f9/00083.wav" } } ); console.log(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 yuanxunlu/livespeechportraits using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "yuanxunlu/livespeechportraits:2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", input={ "talking_head": "Obama1", "driving_audio": "https://replicate.delivery/mgxm/d11de8fe-824c-4e23-8eb5-fa6fe266d6f9/00083.wav" } ) # The yuanxunlu/livespeechportraits model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/yuanxunlu/livespeechportraits/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run yuanxunlu/livespeechportraits 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": "2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8", "input": { "talking_head": "Obama1", "driving_audio": "https://replicate.delivery/mgxm/d11de8fe-824c-4e23-8eb5-fa6fe266d6f9/00083.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-09T23:07:43.209914Z", "created_at": "2021-10-09T23:06:37.720986Z", "data_removed": false, "error": null, "id": "rusvesg4x5g2pcvp76p4sfj73m", "input": { "talking_head": "Obama1", "driving_audio": "https://replicate.delivery/mgxm/d11de8fe-824c-4e23-8eb5-fa6fe266d6f9/00083.wav" }, "logs": "opt:\nNamespace(A2L_GMM_ndim=75, APC_frame_history=0, APC_hidden_size=512, APC_residual=False, APC_rnn_layers=3, FPS=60, LSTM_dropout=0, LSTM_hidden_size=256, LSTM_layers=3, LSTM_output_size=80, LSTM_residual=False, LSTM_sequence_length=60, audioRF_future=0, audioRF_history=60, audio_encoder='APC', batch_size=32, checkpoints_dir='./checkpoints/', dataroot='default_path', dataset_mode='audiovisual', dataset_names='default_name', eval=False, feature_decoder='LSTM', feature_dtype='pts3d', frame_future=18, frame_jump_stride=4, gpu_ids='0', ispts_norm=1, load_epoch='500', loss='L2', max_dataset_size=inf, model='audio2feature', name='Audio2Feature', num_threads=0, only_mouth=1, phase='test', predict_length=1, sample_rate=16000, sequence_length=240, serial_batches=False, suffix='', task='Audio2Feature', time_frame_length=1, use_delta_pts=1, verbose=False)\n----------------- Options ---------------\n A2L_GMM_ndim: 75 \n APC_frame_history: 0 \n APC_hidden_size: 512 \n APC_residual: False \n APC_rnn_layers: 3 \n FPS: 60 \n LSTM_dropout: 0 \n LSTM_hidden_size: 256 \n LSTM_layers: 3 \n LSTM_output_size: 80 \n LSTM_residual: False \n LSTM_sequence_length: 60 \n audioRF_future: 0 \n audioRF_history: 60 \n audio_encoder: APC \n batch_size: 32 \n checkpoints_dir: ./checkpoints/ \n dataroot: default_path \n dataset_mode: audiovisual \n dataset_names: default_name \n eval: False \n feature_decoder: LSTM \n feature_dtype: pts3d \n frame_future: 18 \n frame_jump_stride: 4 \n gpu_ids: 0 \n isTrain: False \t[default: None]\n ispts_norm: 1 \n load_epoch: 500 \n loss: L2 \n max_dataset_size: inf \n model: audio2feature \n name: Audio2Feature \n num_threads: 0 \n only_mouth: 1 \n phase: test \n predict_length: 1 \n sample_rate: 16000 \n sequence_length: 240 \n serial_batches: False \n suffix: \n task: Audio2Feature \n time_frame_length: 1 \n use_delta_pts: 1 \n verbose: False \n----------------- End -------------------\n----------------- Options ---------------\n A2H_GMM_ncenter: 1 \n A2H_GMM_ndim: 12 \n A2H_GMM_sigma_min: 0.03 \n A2H_wavenet_cond: True \nA2H_wavenet_cond_channels: 512 \nA2H_wavenet_dilation_channels: 128 \nA2H_wavenet_input_channels: 12 \n A2H_wavenet_kernel_size: 2 \nA2H_wavenet_residual_blocks: 2 \nA2H_wavenet_residual_channels: 128 \nA2H_wavenet_residual_layers: 7 \nA2H_wavenet_skip_channels: 256 \n A2H_wavenet_use_bias: True \n APC_frame_history: 60 \n APC_hidden_size: 512 \n APC_residual: False \n APC_rnn_layers: 3 \n FPS: 60 \n audioRF_future: 0 \n audioRF_history: 60 \n audio_encoder: APC \n audio_windows: 2 \naudiofeature_input_channels: 80 \n batch_size: 32 \n checkpoints_dir: ./checkpoints/ \n dataroot: path \n dataset_mode: audiovisual \n dataset_names: name \n eval: False \n feature_decoder: WaveNet \n frame_future: 15 \n frame_jump_stride: 1 \n gpu_ids: 0 \n isTrain: False \t[default: None]\n load_epoch: 500 \n loss: GMM \n max_dataset_size: inf \n model: audio2headpose \n name: Audio2Headpose \n num_threads: 0 \n phase: test \n predict_length: 5 \n sample_rate: 16000 \n sequence_length: 240 \n serial_batches: False \n suffix: \n task: Audio2Headpose \n time_frame_length: 1 \n verbose: False \n----------------- End -------------------\n------------ Options -------------\nbatch_size: 1\ncheckpoints_dir: ./checkpoints/\ndataroot: ./data/\ndataset_mode: face\ndataset_names: ['name']\ndebug: False\ndisplay_id: 0\ndisplay_winsize: 512\nfineSize: 512\nfp16: 0\ngpu_ids: [0]\ninput_nc: 1\nisH5: 1\nisMask: 0\nisTrain: False\nloadSize: 512\nload_pretrain:\nlocal_rank: 0\nmax_dataset_size: inf\nmodel: feature2face\nn_blocks_E: 3\nn_downsample_E: 3\nn_downsample_G: 8\nname: TestRender\nngf: 64\nngf_E: 16\nno_flip: 1\nnum_threads: 0\noutput_nc: 3\nphase: test\nresize_or_crop: scaleWidth\nserial_batches: False\nsuffix: .jpg\ntask: Feature2Face\ntest_dataset_names: ['name']\ntf_log: True\nverbose: False\n-------------- End ----------------\n---------- Loading Model: APC-------------\n---------- Loading Model: Audio2Feature -------------\ninitialize network with normal\nmodel [Audio2FeatureModel] was created\nloading the model from ./data/Obama1/checkpoints/Audio2Feature.pkl\n---------- Networks initialized -------------\n[Network Audio2Feature] Total number of parameters : 3.064 M\n-----------------------------------------------\n---------- Loading Model: Audio2Headpose -------------\ninitialize network with normal\nmodel [Audio2HeadposeModel] was created\nloading the model from ./data/Obama1/checkpoints/Audio2Headpose.pkl\n---------- Networks initialized -------------\n[Network Audio2Headpose] Total number of parameters : 4.267 M\n-----------------------------------------------\n---------- Loading Model: Feature2Face -------------\ndataset [FaceDataset] was created\n---------- Generator networks initialized -------------\n-------------------------------------------------------\ninitialize network with normal\nmodel [Feature2FaceModel] was created\nloading the model from ./data/Obama1/checkpoints/Feature2Face.pkl\n---------- Networks initialized -------------\n[Network Feature2Face_G] Total number of parameters : 76.204 M\n-----------------------------------------------\nProcessing audio: 00083 ...\n1. Computing APC features...\n2. Manifold projection...\n\nLLE projection: 0%| | 0/1374 [00:00<?, ?it/s]\n\nLLE projection: 100%|##########| 1374/1374 [00:00<00:00, 17772.64it/s]\n3. Audio2Mouth inference...\n4. Headpose inference...\n\ngenerating headpose: 0%| | 0/672 [00:00<?, ?it/s]\n\ngenerating headpose: 1%|1 | 8/672 [00:00<00:08, 74.85it/s]\n\ngenerating headpose: 2%|2 | 16/672 [00:00<00:09, 71.69it/s]\n\ngenerating headpose: 4%|3 | 24/672 [00:00<00:09, 70.32it/s]\n\ngenerating headpose: 5%|4 | 32/672 [00:00<00:09, 69.62it/s]\n\ngenerating headpose: 6%|5 | 40/672 [00:00<00:08, 70.64it/s]\n\ngenerating headpose: 7%|7 | 48/672 [00:00<00:08, 72.05it/s]\n\ngenerating headpose: 8%|8 | 56/672 [00:00<00:08, 71.08it/s]\n\ngenerating headpose: 10%|9 | 64/672 [00:00<00:08, 71.97it/s]\n\ngenerating headpose: 11%|# | 72/672 [00:01<00:08, 72.87it/s]\n\ngenerating headpose: 12%|#1 | 80/672 [00:01<00:08, 72.93it/s]\n\ngenerating headpose: 13%|#3 | 88/672 [00:01<00:08, 72.90it/s]\n\ngenerating headpose: 14%|#4 | 96/672 [00:01<00:07, 72.49it/s]\n\ngenerating headpose: 15%|#5 | 104/672 [00:01<00:07, 73.09it/s]\n\ngenerating headpose: 17%|#6 | 112/672 [00:01<00:07, 73.09it/s]\n\ngenerating headpose: 18%|#7 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220.72it/s]\n\nwriting video: 42%|####1 | 280/672 [00:01<00:01, 223.11it/s]\n\nwriting video: 45%|####5 | 303/672 [00:01<00:01, 223.88it/s]\n\nwriting video: 49%|####8 | 326/672 [00:01<00:01, 225.13it/s]\n\nwriting video: 52%|#####1 | 349/672 [00:01<00:01, 225.63it/s]\n\nwriting video: 55%|#####5 | 372/672 [00:01<00:01, 224.06it/s]\n\nwriting video: 59%|#####8 | 396/672 [00:01<00:01, 226.16it/s]\n\nwriting video: 62%|######2 | 419/672 [00:01<00:01, 227.03it/s]\n\nwriting video: 66%|######5 | 442/672 [00:01<00:01, 227.70it/s]\n\nwriting video: 69%|######9 | 465/672 [00:02<00:00, 226.69it/s]\n\nwriting video: 73%|#######2 | 489/672 [00:02<00:00, 228.49it/s]\n\nwriting video: 76%|#######6 | 512/672 [00:02<00:00, 227.79it/s]\n\nwriting video: 80%|#######9 | 535/672 [00:02<00:00, 228.00it/s]\n\nwriting video: 83%|########3 | 558/672 [00:02<00:00, 226.75it/s]\n\nwriting video: 86%|########6 | 581/672 [00:02<00:00, 227.01it/s]\n\nwriting video: 90%|######### | 605/672 [00:02<00:00, 228.56it/s]\n\nwriting video: 94%|#########3| 629/672 [00:02<00:00, 231.47it/s]\n\nwriting video: 97%|#########7| 653/672 [00:02<00:00, 231.67it/s]\n\nwriting video: 100%|##########| 672/672 [00:02<00:00, 227.07it/s]\n\ndeleting intermediate images: 0%| | 0/1344 [00:00<?, ?it/s]\n\ndeleting intermediate images: 100%|##########| 1344/1344 [00:00<00:00, 40819.59it/s]\nFinish!", "metrics": { "total_time": 65.488928 }, "output": [ { "file": "https://replicate.delivery/mgxm/dd17814f-3692-4b1e-b9e4-df7dd6871e95/out.mp4" } ], "started_at": "2022-10-10T16:41:26.575978Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rusvesg4x5g2pcvp76p4sfj73m", "cancel": "https://api.replicate.com/v1/predictions/rusvesg4x5g2pcvp76p4sfj73m/cancel" }, "version": "2008bf55045c01ec79eb16b678ab84ffa3633a118b429c46bf07f718689c46f8" }opt: Namespace(A2L_GMM_ndim=75, APC_frame_history=0, APC_hidden_size=512, APC_residual=False, APC_rnn_layers=3, FPS=60, LSTM_dropout=0, LSTM_hidden_size=256, LSTM_layers=3, LSTM_output_size=80, LSTM_residual=False, LSTM_sequence_length=60, audioRF_future=0, audioRF_history=60, audio_encoder='APC', batch_size=32, checkpoints_dir='./checkpoints/', dataroot='default_path', dataset_mode='audiovisual', dataset_names='default_name', eval=False, feature_decoder='LSTM', feature_dtype='pts3d', frame_future=18, frame_jump_stride=4, gpu_ids='0', ispts_norm=1, load_epoch='500', loss='L2', max_dataset_size=inf, model='audio2feature', name='Audio2Feature', num_threads=0, only_mouth=1, phase='test', predict_length=1, sample_rate=16000, sequence_length=240, serial_batches=False, suffix='', task='Audio2Feature', time_frame_length=1, use_delta_pts=1, verbose=False) ----------------- Options --------------- A2L_GMM_ndim: 75 APC_frame_history: 0 APC_hidden_size: 512 APC_residual: False APC_rnn_layers: 3 FPS: 60 LSTM_dropout: 0 LSTM_hidden_size: 256 LSTM_layers: 3 LSTM_output_size: 80 LSTM_residual: False LSTM_sequence_length: 60 audioRF_future: 0 audioRF_history: 60 audio_encoder: APC batch_size: 32 checkpoints_dir: ./checkpoints/ dataroot: default_path dataset_mode: audiovisual dataset_names: default_name eval: False feature_decoder: LSTM feature_dtype: pts3d frame_future: 18 frame_jump_stride: 4 gpu_ids: 0 isTrain: False [default: None] ispts_norm: 1 load_epoch: 500 loss: L2 max_dataset_size: inf model: audio2feature name: Audio2Feature num_threads: 0 only_mouth: 1 phase: test predict_length: 1 sample_rate: 16000 sequence_length: 240 serial_batches: False suffix: task: Audio2Feature time_frame_length: 1 use_delta_pts: 1 verbose: False ----------------- End ------------------- ----------------- Options --------------- A2H_GMM_ncenter: 1 A2H_GMM_ndim: 12 A2H_GMM_sigma_min: 0.03 A2H_wavenet_cond: True A2H_wavenet_cond_channels: 512 A2H_wavenet_dilation_channels: 128 A2H_wavenet_input_channels: 12 A2H_wavenet_kernel_size: 2 A2H_wavenet_residual_blocks: 2 A2H_wavenet_residual_channels: 128 A2H_wavenet_residual_layers: 7 A2H_wavenet_skip_channels: 256 A2H_wavenet_use_bias: True APC_frame_history: 60 APC_hidden_size: 512 APC_residual: False APC_rnn_layers: 3 FPS: 60 audioRF_future: 0 audioRF_history: 60 audio_encoder: APC audio_windows: 2 audiofeature_input_channels: 80 batch_size: 32 checkpoints_dir: ./checkpoints/ dataroot: path dataset_mode: audiovisual dataset_names: name eval: False feature_decoder: WaveNet frame_future: 15 frame_jump_stride: 1 gpu_ids: 0 isTrain: False [default: None] load_epoch: 500 loss: GMM max_dataset_size: inf model: audio2headpose name: Audio2Headpose num_threads: 0 phase: test predict_length: 5 sample_rate: 16000 sequence_length: 240 serial_batches: False suffix: task: Audio2Headpose time_frame_length: 1 verbose: False ----------------- End ------------------- ------------ Options ------------- batch_size: 1 checkpoints_dir: ./checkpoints/ dataroot: ./data/ dataset_mode: face dataset_names: ['name'] debug: False display_id: 0 display_winsize: 512 fineSize: 512 fp16: 0 gpu_ids: [0] input_nc: 1 isH5: 1 isMask: 0 isTrain: False loadSize: 512 load_pretrain: local_rank: 0 max_dataset_size: inf model: feature2face n_blocks_E: 3 n_downsample_E: 3 n_downsample_G: 8 name: TestRender ngf: 64 ngf_E: 16 no_flip: 1 num_threads: 0 output_nc: 3 phase: test resize_or_crop: scaleWidth serial_batches: False suffix: .jpg task: Feature2Face test_dataset_names: ['name'] tf_log: True verbose: False -------------- End ---------------- ---------- Loading Model: APC------------- ---------- Loading Model: Audio2Feature ------------- initialize network with normal model [Audio2FeatureModel] was created loading the model from ./data/Obama1/checkpoints/Audio2Feature.pkl ---------- Networks initialized ------------- [Network Audio2Feature] Total number of parameters : 3.064 M ----------------------------------------------- ---------- Loading Model: Audio2Headpose ------------- initialize network with normal model [Audio2HeadposeModel] was created loading the model from ./data/Obama1/checkpoints/Audio2Headpose.pkl ---------- Networks initialized ------------- [Network Audio2Headpose] Total number of parameters : 4.267 M ----------------------------------------------- ---------- Loading Model: Feature2Face ------------- dataset [FaceDataset] was created ---------- Generator networks initialized ------------- ------------------------------------------------------- initialize network with normal model [Feature2FaceModel] was created loading the model from ./data/Obama1/checkpoints/Feature2Face.pkl ---------- Networks initialized ------------- [Network Feature2Face_G] Total number of parameters : 76.204 M ----------------------------------------------- Processing audio: 00083 ... 1. Computing APC features... 2. Manifold projection... LLE projection: 0%| | 0/1374 [00:00<?, ?it/s] LLE projection: 100%|##########| 1374/1374 [00:00<00:00, 17772.64it/s] 3. Audio2Mouth inference... 4. Headpose inference... generating headpose: 0%| | 0/672 [00:00<?, ?it/s] generating headpose: 1%|1 | 8/672 [00:00<00:08, 74.85it/s] generating headpose: 2%|2 | 16/672 [00:00<00:09, 71.69it/s] generating headpose: 4%|3 | 24/672 [00:00<00:09, 70.32it/s] generating headpose: 5%|4 | 32/672 [00:00<00:09, 69.62it/s] generating headpose: 6%|5 | 40/672 [00:00<00:08, 70.64it/s] generating headpose: 7%|7 | 48/672 [00:00<00:08, 72.05it/s] generating headpose: 8%|8 | 56/672 [00:00<00:08, 71.08it/s] generating headpose: 10%|9 | 64/672 [00:00<00:08, 71.97it/s] generating headpose: 11%|# | 72/672 [00:01<00:08, 72.87it/s] generating headpose: 12%|#1 | 80/672 [00:01<00:08, 72.93it/s] generating headpose: 13%|#3 | 88/672 [00:01<00:08, 72.90it/s] generating headpose: 14%|#4 | 96/672 [00:01<00:07, 72.49it/s] generating headpose: 15%|#5 | 104/672 [00:01<00:07, 73.09it/s] generating headpose: 17%|#6 | 112/672 [00:01<00:07, 73.09it/s] generating headpose: 18%|#7 | 120/672 [00:01<00:07, 73.78it/s] generating 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Post-processing... 0%| | 0/672 [00:00<?, ?it/s] 100%|##########| 672/672 [00:00<00:00, 20165.93it/s] 6. Image2Image translation & Saving results... Image2Image translation inference: 0%| | 0/672 [00:00<?, ?it/s] Image2Image translation inference: 0%| | 2/672 [00:00<00:57, 11.61it/s] Image2Image translation inference: 1%| | 4/672 [00:00<00:53, 12.42it/s] Image2Image translation inference: 1%| | 6/672 [00:00<00:49, 13.42it/s] Image2Image translation inference: 1%|1 | 8/672 [00:00<00:47, 14.05it/s] Image2Image translation inference: 1%|1 | 10/672 [00:00<00:45, 14.50it/s] Image2Image translation inference: 2%|1 | 12/672 [00:00<00:44, 14.72it/s] Image2Image translation inference: 2%|2 | 14/672 [00:00<00:44, 14.87it/s] Image2Image translation inference: 2%|2 | 16/672 [00:01<00:43, 14.95it/s] Image2Image translation inference: 3%|2 | 18/672 [00:01<00:43, 14.97it/s] Image2Image translation inference: 3%|2 | 20/672 [00:01<00:43, 15.01it/s] Image2Image translation inference: 3%|3 | 22/672 [00:01<00:42, 15.15it/s] Image2Image translation inference: 4%|3 | 24/672 [00:01<00:42, 15.15it/s] Image2Image translation inference: 4%|3 | 26/672 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[00:32<00:12, 14.84it/s] Image2Image translation inference: 72%|#######1 | 482/672 [00:32<00:12, 14.85it/s] Image2Image translation inference: 72%|#######2 | 484/672 [00:32<00:12, 14.85it/s] Image2Image translation inference: 72%|#######2 | 486/672 [00:32<00:12, 14.83it/s] Image2Image translation inference: 73%|#######2 | 488/672 [00:32<00:12, 14.93it/s] Image2Image translation inference: 73%|#######2 | 490/672 [00:32<00:12, 14.91it/s] Image2Image translation inference: 73%|#######3 | 492/672 [00:32<00:12, 14.92it/s] Image2Image translation inference: 74%|#######3 | 494/672 [00:32<00:11, 14.93it/s] Image2Image translation inference: 74%|#######3 | 496/672 [00:33<00:11, 14.95it/s] Image2Image translation inference: 74%|#######4 | 498/672 [00:33<00:11, 15.01it/s] Image2Image translation inference: 74%|#######4 | 500/672 [00:33<00:11, 14.98it/s] Image2Image translation inference: 75%|#######4 | 502/672 [00:33<00:11, 14.68it/s] Image2Image translation inference: 75%|#######5 | 504/672 [00:33<00:11, 14.79it/s] Image2Image translation inference: 75%|#######5 | 506/672 [00:33<00:11, 14.79it/s] Image2Image translation inference: 76%|#######5 | 508/672 [00:33<00:11, 14.89it/s] Image2Image translation inference: 76%|#######5 | 510/672 [00:34<00:10, 14.88it/s] Image2Image translation inference: 76%|#######6 | 512/672 [00:34<00:10, 14.91it/s] Image2Image translation inference: 76%|#######6 | 514/672 [00:34<00:10, 14.96it/s] Image2Image translation inference: 77%|#######6 | 516/672 [00:34<00:10, 14.76it/s] Image2Image translation inference: 77%|#######7 | 518/672 [00:34<00:10, 14.90it/s] Image2Image translation inference: 77%|#######7 | 520/672 [00:34<00:10, 14.93it/s] Image2Image translation inference: 78%|#######7 | 522/672 [00:34<00:10, 14.98it/s] Image2Image translation inference: 78%|#######7 | 524/672 [00:34<00:09, 14.97it/s] Image2Image translation inference: 78%|#######8 | 526/672 [00:35<00:09, 14.95it/s] Image2Image translation inference: 79%|#######8 | 528/672 [00:35<00:09, 15.00it/s] Image2Image translation inference: 79%|#######8 | 530/672 [00:35<00:09, 14.83it/s] Image2Image translation inference: 79%|#######9 | 532/672 [00:35<00:09, 14.86it/s] Image2Image translation inference: 79%|#######9 | 534/672 [00:35<00:09, 14.90it/s] Image2Image translation inference: 80%|#######9 | 536/672 [00:35<00:09, 14.84it/s] Image2Image translation inference: 80%|######## | 538/672 [00:35<00:09, 14.86it/s] Image2Image translation inference: 80%|######## | 540/672 [00:36<00:08, 14.87it/s] Image2Image translation inference: 81%|######## | 542/672 [00:36<00:08, 14.90it/s] Image2Image translation inference: 81%|######## | 544/672 [00:36<00:08, 14.93it/s] Image2Image translation inference: 81%|########1 | 546/672 [00:36<00:08, 14.91it/s] Image2Image translation inference: 82%|########1 | 548/672 [00:36<00:08, 14.85it/s] Image2Image translation inference: 82%|########1 | 550/672 [00:36<00:08, 14.87it/s] Image2Image translation inference: 82%|########2 | 552/672 [00:36<00:08, 14.86it/s] Image2Image translation inference: 82%|########2 | 554/672 [00:37<00:07, 14.88it/s] Image2Image translation inference: 83%|########2 | 556/672 [00:37<00:07, 14.85it/s] Image2Image translation inference: 83%|########3 | 558/672 [00:37<00:07, 14.91it/s] Image2Image translation inference: 83%|########3 | 560/672 [00:37<00:07, 14.89it/s] Image2Image translation inference: 84%|########3 | 562/672 [00:37<00:07, 14.91it/s] Image2Image translation inference: 84%|########3 | 564/672 [00:37<00:07, 14.96it/s] Image2Image translation inference: 84%|########4 | 566/672 [00:37<00:07, 14.96it/s] Image2Image translation inference: 85%|########4 | 568/672 [00:37<00:06, 15.02it/s] Image2Image translation inference: 85%|########4 | 570/672 [00:38<00:06, 14.97it/s] Image2Image translation inference: 85%|########5 | 572/672 [00:38<00:06, 14.99it/s] Image2Image translation inference: 85%|########5 | 574/672 [00:38<00:06, 14.98it/s] Image2Image translation inference: 86%|########5 | 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89%|########9 | 600/672 [00:40<00:04, 14.85it/s] Image2Image translation inference: 90%|########9 | 602/672 [00:40<00:04, 14.89it/s] Image2Image translation inference: 90%|########9 | 604/672 [00:40<00:04, 14.91it/s] Image2Image translation inference: 90%|######### | 606/672 [00:40<00:04, 14.85it/s] Image2Image translation inference: 90%|######### | 608/672 [00:40<00:04, 14.87it/s] Image2Image translation inference: 91%|######### | 610/672 [00:40<00:04, 14.84it/s] Image2Image translation inference: 91%|#########1| 612/672 [00:40<00:04, 14.78it/s] Image2Image translation inference: 91%|#########1| 614/672 [00:41<00:03, 14.80it/s] Image2Image translation inference: 92%|#########1| 616/672 [00:41<00:03, 14.82it/s] Image2Image translation inference: 92%|#########1| 618/672 [00:41<00:03, 14.82it/s] Image2Image translation inference: 92%|#########2| 620/672 [00:41<00:03, 14.91it/s] Image2Image translation inference: 93%|#########2| 622/672 [00:41<00:03, 14.78it/s] Image2Image translation inference: 93%|#########2| 624/672 [00:41<00:03, 14.85it/s] Image2Image translation inference: 93%|#########3| 626/672 [00:41<00:03, 14.88it/s] Image2Image translation inference: 93%|#########3| 628/672 [00:41<00:02, 14.86it/s] Image2Image translation inference: 94%|#########3| 630/672 [00:42<00:02, 14.97it/s] Image2Image translation inference: 94%|#########4| 632/672 [00:42<00:02, 14.64it/s] Image2Image translation inference: 94%|#########4| 634/672 [00:42<00:02, 14.73it/s] Image2Image translation inference: 95%|#########4| 636/672 [00:42<00:02, 14.87it/s] Image2Image translation inference: 95%|#########4| 638/672 [00:42<00:02, 14.89it/s] Image2Image translation inference: 95%|#########5| 640/672 [00:42<00:02, 14.96it/s] Image2Image translation inference: 96%|#########5| 642/672 [00:42<00:02, 14.91it/s] Image2Image translation inference: 96%|#########5| 644/672 [00:43<00:01, 14.89it/s] Image2Image translation inference: 96%|#########6| 646/672 [00:43<00:01, 15.02it/s] Image2Image translation inference: 96%|#########6| 648/672 [00:43<00:01, 14.98it/s] Image2Image translation inference: 97%|#########6| 650/672 [00:43<00:01, 15.05it/s] Image2Image translation inference: 97%|#########7| 652/672 [00:43<00:01, 15.01it/s] Image2Image translation inference: 97%|#########7| 654/672 [00:43<00:01, 15.08it/s] Image2Image translation inference: 98%|#########7| 656/672 [00:43<00:01, 14.98it/s] Image2Image translation inference: 98%|#########7| 658/672 [00:43<00:00, 14.95it/s] Image2Image translation inference: 98%|#########8| 660/672 [00:44<00:00, 14.94it/s] Image2Image translation inference: 99%|#########8| 662/672 [00:44<00:00, 14.94it/s] Image2Image translation inference: 99%|#########8| 664/672 [00:44<00:00, 14.95it/s] Image2Image translation inference: 99%|#########9| 666/672 [00:44<00:00, 14.90it/s] Image2Image translation inference: 99%|#########9| 668/672 [00:44<00:00, 14.96it/s] Image2Image translation inference: 100%|#########9| 670/672 [00:44<00:00, 14.93it/s] Image2Image translation inference: 100%|##########| 672/672 [00:44<00:00, 14.86it/s] Image2Image translation inference: 100%|##########| 672/672 [00:44<00:00, 14.96it/s] writing video: 0%| | 0/672 [00:00<?, ?it/s] writing video: 4%|3 | 24/672 [00:00<00:02, 233.26it/s] writing video: 7%|7 | 48/672 [00:00<00:02, 231.40it/s] writing video: 11%|# | 72/672 [00:00<00:02, 230.54it/s] writing video: 14%|#4 | 96/672 [00:00<00:02, 228.31it/s] writing video: 18%|#7 | 119/672 [00:00<00:02, 227.73it/s] writing video: 21%|##1 | 143/672 [00:00<00:02, 229.25it/s] writing video: 25%|##4 | 166/672 [00:00<00:02, 227.65it/s] writing video: 28%|##8 | 189/672 [00:00<00:02, 227.36it/s] writing video: 32%|###1 | 212/672 [00:00<00:02, 218.16it/s] writing video: 35%|###4 | 234/672 [00:01<00:02, 218.00it/s] writing video: 38%|###8 | 257/672 [00:01<00:01, 220.72it/s] writing video: 42%|####1 | 280/672 [00:01<00:01, 223.11it/s] writing video: 45%|####5 | 303/672 [00:01<00:01, 223.88it/s] writing video: 49%|####8 | 326/672 [00:01<00:01, 225.13it/s] writing video: 52%|#####1 | 349/672 [00:01<00:01, 225.63it/s] writing video: 55%|#####5 | 372/672 [00:01<00:01, 224.06it/s] writing video: 59%|#####8 | 396/672 [00:01<00:01, 226.16it/s] writing video: 62%|######2 | 419/672 [00:01<00:01, 227.03it/s] writing video: 66%|######5 | 442/672 [00:01<00:01, 227.70it/s] writing video: 69%|######9 | 465/672 [00:02<00:00, 226.69it/s] writing video: 73%|#######2 | 489/672 [00:02<00:00, 228.49it/s] writing video: 76%|#######6 | 512/672 [00:02<00:00, 227.79it/s] writing video: 80%|#######9 | 535/672 [00:02<00:00, 228.00it/s] writing video: 83%|########3 | 558/672 [00:02<00:00, 226.75it/s] writing video: 86%|########6 | 581/672 [00:02<00:00, 227.01it/s] writing video: 90%|######### | 605/672 [00:02<00:00, 228.56it/s] writing video: 94%|#########3| 629/672 [00:02<00:00, 231.47it/s] writing video: 97%|#########7| 653/672 [00:02<00:00, 231.67it/s] writing video: 100%|##########| 672/672 [00:02<00:00, 227.07it/s] deleting intermediate images: 0%| | 0/1344 [00:00<?, ?it/s] deleting intermediate images: 100%|##########| 1344/1344 [00:00<00:00, 40819.59it/s] Finish!
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