section,exact_record
test_plan,"{""actual_date"": ""2026-10-16"", ""task_order"": [""D25-1"", ""D25-2"", ""D25-3"", ""D26-1"", ""D26-2"", ""D26-3""], ""candidate"": {""name"": ""Original open-source Wav2Lip, non-GAN checkpoint"", ""upstream"": ""https://github.com/Rudrabha/Wav2Lip"", ""commit"": ""bac9a81e63ecc153202353372e5724b83d9e6322"", ""checkpoint_folder"": ""https://drive.google.com/drive/folders/153HLrqlBNxzZcHi17PEvP09kkAfzRshM"", ""checkpoint_name"": ""Wav2Lip-SD-NOGAN.pt"", ""checkpoint_sha256"": ""7ab9249147fd8d7884983567883222b7a86b6f94282354887825dfee7d608999"", ""licence_source"": ""https://github.com/Rudrabha/Wav2Lip#license-and-citation"", ""disclaimer_source"": ""https://github.com/Rudrabha/Wav2Lip#disclaimer"", ""licence_note"": ""Official repository and its results restricted to personal/research/non-commercial purposes; separate commercial Sync Labs service not tested."", ""internal_face_resolution"": [96, 96], ""precision"": ""FP32 stock inference"", ""pads"": [0, 10, 0, 0], ""face_det_batch_size"": 16, ""wav2lip_batch_size"": 128, ""resize_factor"": 1, ""static"": false, ""box"": [-1, -1, -1, -1], ""nosmooth"": false, ""checkpoint_file_id"": ""15MzTPHCbD4FGDh1bzKqgdgq2GZqgsNvD"", ""checkpoint_file_url"": ""https://drive.google.com/file/d/15MzTPHCbD4FGDh1bzKqgdgq2GZqgsNvD/view"", ""checkpoint_bytes"": 145837271, ""checkpoint_hash_provenance"": ""Locally measured SHA-256 of the exact upstream-folder-linked file; no independent upstream digest was supplied."", ""checkpoint_load"": ""Official TorchScript file converted to state_dict wrapper, with unchanged tensors, strict key check and numerical equivalence validation. Stock inference code retained.""}, ""baseline"": {""name"": ""MuseTalk 1.5"", ""commit"": ""0a89dec45a0192b824e3cf4daf96c239440c5ed8"", ""model_revision"": ""2bcb936e2fddb4d86db4c62fd45b387d0c061571"", ""precision"": ""FP16"", ""batch_size"": 2, ""internal_face_resolution"": [256, 256], ""bbox_shift"": 0, ""extra_margin"": 10, ""parsing_mode"": ""jaw"", ""cheek_widths"": [90, 90]}, ""shared_inputs"": {""source"": ""Same permitted D23/D18 fictional stationary-face video and synthetic speech"", ""video"": ""512x512, 25 fps, 91 source frames, no source audio"", ""video_sha256"": ""895c94e8efff634b054abd17951e0c6e9cb8c1e864a0a9e4035b832f4a676a26"", ""audio"": ""3.6318125 seconds, mono 16000 Hz WAV"", ""audio_sha256"": ""89a902c22a5d0d75e8c37b1359ed5f71221d16f89fc9ca8e84b6ee1b336bec62""}, ""runs"": ""Three fresh-process repetitions per model on the same available GPU; sequential, alternating model order; save all failures and outputs"", ""timing"": ""Process launch through exit including imports/model loading/preprocessing/generation/encoding. Exclude setup, transfer and independent validation. Report warm file caches and exact hardware."", ""fairness_limits"": [""Single stationary underlying scene/utterance"", ""Different internal face resolutions, precision, batch sizes, preprocessing and encoding"", ""Legacy Wav2Lip dependency pins require an explicitly documented compatibility environment on modern GPUs"", ""Prior RTX3090 figures are historical context only unless both models are re-run on the current host"", ""Decode success is not an accuracy score; no invented quality or lip-sync winner""], ""gpu_status"": ""RTX 3090 verified; both workflows executed on the newly supplied machine.""}"
identity,"{""name"": ""Original open-source Wav2Lip, non-GAN checkpoint"", ""upstream"": ""https://github.com/Rudrabha/Wav2Lip"", ""commit"": ""bac9a81e63ecc153202353372e5724b83d9e6322"", ""checkpoint_folder"": ""https://drive.google.com/drive/folders/153HLrqlBNxzZcHi17PEvP09kkAfzRshM"", ""checkpoint_name"": ""Wav2Lip-SD-NOGAN.pt"", ""checkpoint_sha256"": ""7ab9249147fd8d7884983567883222b7a86b6f94282354887825dfee7d608999"", ""licence_source"": ""https://github.com/Rudrabha/Wav2Lip#license-and-citation"", ""disclaimer_source"": ""https://github.com/Rudrabha/Wav2Lip#disclaimer"", ""licence_note"": ""Official repository and its results restricted to personal/research/non-commercial purposes; separate commercial Sync Labs service not tested."", ""internal_face_resolution"": [96, 96], ""precision"": ""FP32 stock inference"", ""pads"": [0, 10, 0, 0], ""face_det_batch_size"": 16, ""wav2lip_batch_size"": 128, ""resize_factor"": 1, ""static"": false, ""box"": [-1, -1, -1, -1], ""nosmooth"": false, ""checkpoint_file_id"": ""15MzTPHCbD4FGDh1bzKqgdgq2GZqgsNvD"", ""checkpoint_file_url"": ""https://drive.google.com/file/d/15MzTPHCbD4FGDh1bzKqgdgq2GZqgsNvD/view"", ""checkpoint_bytes"": 145837271, ""checkpoint_hash_provenance"": ""Locally measured SHA-256 of the exact upstream-folder-linked file; no independent upstream digest was supplied."", ""checked_date"": ""2026-10-16"", ""source_file_sha256"": {""requirements.txt"": ""f4375840e39b2dd9485088592e56c698898c7e9e7b3bc3abcbc1b89914114906"", ""hparams.py"": ""4a4c31dc51ebd8140da18ac24841e582b2472389f7c65e7f0a6b4447fc0c71cf"", ""face_detection_detection_sfd_sfd_detector.py"": ""155be501e83825f9b0508ee7d596f13047559350adbdbf17fcbf361cfab22e92"", ""README.md"": ""8019ca16cf27529731bebed3c2f542046d6db1797cf38042cd1d27f4793ecd34"", ""inference.py"": ""99662bfce2fdaf17c1cff8e71977ba02cb80c684058cd114c4e0648b12059fc6"", ""audio.py"": ""71d5e927cac3d0b7103e7671a43b82b41b6a56398a092bbfa2e96d3041249c4c"", ""face_detection_api.py"": ""c050676db49d8eb5de19f13c171101892b60b992b2a730cfbc8534967e4faeaa"", ""models_wav2lip.py"": ""a02b54288f8200332ee4f0ea0c8013bca542b94d8149e514ac25a742a7a70e66""}}"
conversion,"{""source_sha256"": ""7ab9249147fd8d7884983567883222b7a86b6f94282354887825dfee7d608999"", ""derived_sha256"": ""d905802fd1efd36993e9c253402b6d79eddb9cc5006784a1b360b464ff01bd30"", ""source_format"": ""TorchScript"", ""conversion"": ""Extract state_dict without changing tensors; wrap for unmodified upstream inference.py"", ""parameter_keys"": 352, ""strict_load"": true, ""cpu_test_input_shapes"": [[2, 1, 80, 16], [2, 6, 96, 96]], ""cpu_max_abs_difference"": 0.0, ""rtol"": 1e-05, ""atol"": 1e-06}"
hardware,"{""utc"": ""2026-10-16T14:25:25Z"", ""gpu"": ""NVIDIA GeForce RTX 3090, 24576 MiB, 580.173.02, 350.00 W"", ""cpu"": ""Architecture:                            x86_64\nCPU op-mode(s):                          32-bit, 64-bit\nAddress sizes:                           43 bits physical, 48 bits virtual\nByte Order:                              Little Endian\nCPU(s):                                  64\nOn-line CPU(s) list:                     0-63\nVendor ID:                               AuthenticAMD\nModel name:                              AMD EPYC 7D12 32-Core Processor\nCPU family:                              23\nModel:                                   49\nThread(s) per core:                      2\nCore(s) per socket:                      32\nSocket(s):                               1\nStepping:                                0\nFrequency boost:                         enabled\nCPU(s) scaling MHz:                      113%\nCPU max MHz:                             1962.5970\nCPU min MHz:                             1000.0000\nBogoMIPS:                                2195.86\nFlags:                                   fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es ibpb_exit_to_user\nVirtualization:                          AMD-V\nL1d cache:                               1 MiB (32 instances)\nL1i cache:                               1 MiB (32 instances)\nL2 cache:                                16 MiB (32 instances)\nL3 cache:                                128 MiB (8 instances)\nNUMA node(s):                            4\nNUMA node0 CPU(s):                       0-7,32-39\nNUMA node1 CPU(s):                       8-15,40-47\nNUMA node2 CPU(s):                       16-23,48-55\nNUMA node3 CPU(s):                       24-31,56-63\nVulnerability Gather data sampling:      Not affected\nVulnerability Indirect target selection: Not affected\nVulnerability Itlb multihit:             Not affected\nVulnerability L1tf:                      Not affected\nVulnerability Mds:                       Not affected\nVulnerability Meltdown:                  Not affected\nVulnerability Mmio stale data:           Not affected\nVulnerability Reg file data sampling:    Not affected\nVulnerability Retbleed:                  Mitigation; untrained return thunk; SMT enabled with STIBP protection\nVulnerability Spec rstack overflow:      Mitigation; safe RET\nVulnerability Spec store bypass:         Mitigation; Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1:                Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:                Mitigation; Retpolines; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected\nVulnerability Srbds:                     Not affected\nVulnerability Tsa:                       Not affected\nVulnerability Tsx async abort:           Not affected\nVulnerability Vmscape:                   Mitigation; IBPB before exit to userspace"", ""ram"": ""total        used        free      shared  buff/cache   available\nMem:          128758       16234       36028          56       77594      112523\nSwap:           8191          67        8124"", ""ffmpeg"": ""ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers"", ""baseline_processes"": """", ""timing"": ""Unmodified upstream CLI; fresh process start to exit incl imports/load/preprocess/generate/encode. Excludes provisioning, transfer, validation. File caches warm after initial. No saved face-coordinate reuse.""}"
inputs,"{""comparison.yaml"": {""bytes"": 155, ""sha256"": ""fc87d7507b790e753b26d999c771820c4512ead597078779df6b666420c9f89e""}, ""input.mp4"": {""bytes"": 44591, ""sha256"": ""895c94e8efff634b054abd17951e0c6e9cb8c1e864a0a9e4035b832f4a676a26"", ""probe"": {""streams"": [{""index"": 0, ""codec_name"": ""h264"", ""codec_long_name"": ""H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10"", ""profile"": ""High"", ""codec_type"": ""video"", ""codec_tag_string"": ""avc1"", ""codec_tag"": ""0x31637661"", ""width"": 512, ""height"": 512, ""coded_width"": 512, ""coded_height"": 512, ""closed_captions"": 0, ""film_grain"": 0, ""has_b_frames"": 2, ""pix_fmt"": ""yuv420p"", ""level"": 30, ""chroma_location"": ""left"", ""field_order"": ""progressive"", ""refs"": 4, ""is_avc"": ""true"", ""nal_length_size"": ""4"", ""id"": ""0x1"", ""r_frame_rate"": ""25/1"", ""avg_frame_rate"": ""25/1"", ""time_base"": ""1/12800"", ""start_pts"": 0, ""start_time"": ""0.000000"", ""duration_ts"": 46592, ""duration"": ""3.640000"", ""bit_rate"": ""93716"", ""bits_per_raw_sample"": ""8"", ""nb_frames"": ""91"", ""nb_read_frames"": ""91"", ""extradata_size"": 45, ""disposition"": {""default"": 1, ""dub"": 0, ""original"": 0, ""comment"": 0, ""lyrics"": 0, ""karaoke"": 0, ""forced"": 0, ""hearing_impaired"": 0, ""visual_impaired"": 0, ""clean_effects"": 0, ""attached_pic"": 0, ""timed_thumbnails"": 0, ""non_diegetic"": 0, ""captions"": 0, ""descriptions"": 0, ""metadata"": 0, ""dependent"": 0, ""still_image"": 0}, ""tags"": {""language"": ""und"", ""handler_name"": ""VideoHandler"", ""vendor_id"": ""[0][0][0][0]"", ""encoder"": ""Lavc60.31.102 libx264""}}], ""format"": {""filename"": ""/workspace/d25-kit/inputs/input.mp4"", ""nb_streams"": 1, ""nb_programs"": 0, ""format_name"": ""mov,mp4,m4a,3gp,3g2,mj2"", ""format_long_name"": ""QuickTime / MOV"", ""start_time"": ""0.000000"", ""duration"": ""3.640000"", ""size"": ""44591"", ""bit_rate"": ""98002"", ""probe_score"": 100, ""tags"": {""major_brand"": ""isom"", ""minor_version"": ""512"", ""compatible_brands"": ""isomiso2avc1mp41"", ""encoder"": ""Lavf60.16.100""}}}}, ""portrait.png"": {""bytes"": 2039351, ""sha256"": ""029185678e4435ee0501ebff4c40ed4753b2dbfba6fc42e16e906510428e1767""}, ""speech.wav"": {""bytes"": 116296, ""sha256"": ""89a902c22a5d0d75e8c37b1359ed5f71221d16f89fc9ca8e84b6ee1b336bec62"", ""probe"": {""streams"": [{""index"": 0, ""codec_name"": ""pcm_s16le"", ""codec_long_name"": ""PCM signed 16-bit little-endian"", ""codec_type"": ""audio"", ""codec_tag_string"": ""[1][0][0][0]"", ""codec_tag"": ""0x0001"", ""sample_fmt"": ""s16"", ""sample_rate"": ""16000"", ""channels"": 1, ""bits_per_sample"": 16, ""initial_padding"": 0, ""r_frame_rate"": ""0/0"", ""avg_frame_rate"": ""0/0"", ""time_base"": ""1/16000"", ""duration_ts"": 58109, ""duration"": ""3.631813"", ""bit_rate"": ""256000"", ""nb_read_frames"": ""29"", ""disposition"": {""default"": 0, ""dub"": 0, ""original"": 0, ""comment"": 0, ""lyrics"": 0, ""karaoke"": 0, ""forced"": 0, ""hearing_impaired"": 0, ""visual_impaired"": 0, ""clean_effects"": 0, ""attached_pic"": 0, ""timed_thumbnails"": 0, ""non_diegetic"": 0, ""captions"": 0, ""descriptions"": 0, ""metadata"": 0, ""dependent"": 0, ""still_image"": 0}}], ""format"": {""filename"": ""/workspace/d25-kit/inputs/speech.wav"", ""nb_streams"": 1, ""nb_programs"": 0, ""format_name"": ""wav"", ""format_long_name"": ""WAV / WAVE (Waveform Audio)"", ""duration"": ""3.631813"", ""size"": ""116296"", ""bit_rate"": ""256171"", ""probe_score"": 99, ""tags"": {""encoder"": ""Lavf60.16.100""}}}}, ""transcript.txt"": {""bytes"": 51, ""sha256"": ""b73f23ba36237d813bab949c827015cbb1af4143a24d230e7abc29848d1a6b91""}}"
model_manifest,"[{""repo"": ""TMElyralab/MuseTalk"", ""revision"": ""2bcb936e2fddb4d86db4c62fd45b387d0c061571"", ""filename"": ""musetalkV15/musetalk.json"", ""destination"": ""models/musetalkV15/musetalk.json"", ""size"": 748, ""sha256"": ""5b6923aee04d71692e0e9846c471e0a4ea07a4f686d39545e472bd4ba17e1b47""}, {""repo"": ""TMElyralab/MuseTalk"", ""revision"": ""2bcb936e2fddb4d86db4c62fd45b387d0c061571"", ""filename"": ""musetalkV15/unet.pth"", ""destination"": ""models/musetalkV15/unet.pth"", ""size"": 3400074924, ""sha256"": ""7ebf6c98c181e20838e4c0054e96e944ac60d5d692cc01db42839fe11b787007""}, {""repo"": ""stabilityai/sd-vae-ft-mse"", ""revision"": ""31f26fdeee1355a5c34592e401dd41e45d25a493"", ""filename"": ""config.json"", ""destination"": ""models/sd-vae/config.json"", ""size"": 547, ""sha256"": ""92d3dfb746fca211a2c9e019e285f8597412211728dce3c5bcf4eda0f2d62e7e""}, {""repo"": ""stabilityai/sd-vae-ft-mse"", ""revision"": ""31f26fdeee1355a5c34592e401dd41e45d25a493"", ""filename"": ""diffusion_pytorch_model.bin"", ""destination"": ""models/sd-vae/diffusion_pytorch_model.bin"", ""size"": 334707217, ""sha256"": ""1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc""}, {""repo"": ""openai/whisper-tiny"", ""revision"": ""169d4a4341b33bc18d8881c4b69c2e104e1cc0af"", ""filename"": ""config.json"", ""destination"": ""models/whisper/config.json"", ""size"": 1983, ""sha256"": ""ffdccec4f3211f4c63310f2b7098f309fe70f3952cedc5e4d11e43f5b2379b98""}, {""repo"": ""openai/whisper-tiny"", ""revision"": ""169d4a4341b33bc18d8881c4b69c2e104e1cc0af"", ""filename"": ""preprocessor_config.json"", ""destination"": ""models/whisper/preprocessor_config.json"", ""size"": 184990, ""sha256"": ""9b5cd03a36fbb8a627c64d98a5b5b126ead95a77720723944487311f0110b666""}, {""repo"": ""openai/whisper-tiny"", ""revision"": ""169d4a4341b33bc18d8881c4b69c2e104e1cc0af"", ""filename"": ""pytorch_model.bin"", ""destination"": ""models/whisper/pytorch_model.bin"", ""size"": 151095027, ""sha256"": ""9607f98a2b22d9e229ae43c52ecea79dcede9e0c5cfae67e8da6eda86d8aac1d""}, {""repo"": ""yzd-v/DWPose"", ""revision"": ""1a7144101628d69ee7a3768d1ee3a094070dc388"", ""filename"": ""dw-ll_ucoco_384.pth"", ""destination"": ""models/dwpose/dw-ll_ucoco_384.pth"", ""size"": 406878486, ""sha256"": ""0d9408b13cd863c4e95a149dd31232f88f2a12aa6cf8964ed74d7d97748c7a07""}, {""repo"": ""ManyOtherFunctions/face-parse-bisent"", ""revision"": ""0073b233a5a3c4b1377d4dbf49245017938a72b5"", ""filename"": ""79999_iter.pth"", ""destination"": ""models/face-parse-bisent/79999_iter.pth"", ""size"": 53289463, ""sha256"": ""468e13ca13a9b43cc0881a9f99083a430e9c0a38abd935431d1c28ee94b26567""}, {""repo"": ""ManyOtherFunctions/face-parse-bisent"", ""revision"": ""0073b233a5a3c4b1377d4dbf49245017938a72b5"", ""filename"": ""resnet18-5c106cde.pth"", ""destination"": ""models/face-parse-bisent/resnet18-5c106cde.pth"", ""size"": 46827520, ""sha256"": ""5c106cde386e87d4033832f2996f5493238eda96ccf559d1d62760c4de0613f8""}]"
commands,"{""wav-r1"": [""/workspace/d25-runtime/wav-env/bin/python"", ""inference.py"", ""--checkpoint_path"", ""checkpoints/Wav2Lip-SD-NOGAN-state.pth"", ""--face"", ""/workspace/d25-kit/inputs/input.mp4"", ""--audio"", ""/workspace/d25-kit/inputs/speech.wav"", ""--outfile"", ""/workspace/d25-evidence/wav-r1/result.mp4"", ""--pads"", ""0"", ""10"", ""0"", ""0"", ""--face_det_batch_size"", ""16"", ""--wav2lip_batch_size"", ""128"", ""--resize_factor"", ""1""], ""muse-r1"": [""/workspace/d25-runtime/muse-env/bin/python"", ""-m"", ""scripts.inference"", ""--inference_config"", ""/workspace/d25-kit/inputs/comparison.yaml"", ""--result_dir"", ""/workspace/d25-evidence/muse-r1/generated"", ""--unet_model_path"", ""models/musetalkV15/unet.pth"", ""--unet_config"", ""models/musetalkV15/musetalk.json"", ""--whisper_dir"", ""models/whisper"", ""--version"", ""v15"", ""--batch_size"", ""2"", ""--use_float16"", ""--bbox_shift"", ""0"", ""--fps"", ""25"", ""--extra_margin"", ""10"", ""--parsing_mode"", ""jaw"", ""--left_cheek_width"", ""90"", ""--right_cheek_width"", ""90"", ""--ffmpeg_path"", ""/usr/bin""], ""muse-r2"": [""/workspace/d25-runtime/muse-env/bin/python"", ""-m"", ""scripts.inference"", ""--inference_config"", ""/workspace/d25-kit/inputs/comparison.yaml"", ""--result_dir"", ""/workspace/d25-evidence/muse-r2/generated"", ""--unet_model_path"", ""models/musetalkV15/unet.pth"", ""--unet_config"", ""models/musetalkV15/musetalk.json"", ""--whisper_dir"", ""models/whisper"", ""--version"", ""v15"", ""--batch_size"", ""2"", ""--use_float16"", ""--bbox_shift"", ""0"", ""--fps"", ""25"", ""--extra_margin"", ""10"", ""--parsing_mode"", ""jaw"", ""--left_cheek_width"", ""90"", ""--right_cheek_width"", ""90"", ""--ffmpeg_path"", ""/usr/bin""], ""wav-r2"": [""/workspace/d25-runtime/wav-env/bin/python"", ""inference.py"", ""--checkpoint_path"", ""checkpoints/Wav2Lip-SD-NOGAN-state.pth"", ""--face"", ""/workspace/d25-kit/inputs/input.mp4"", ""--audio"", ""/workspace/d25-kit/inputs/speech.wav"", ""--outfile"", ""/workspace/d25-evidence/wav-r2/result.mp4"", ""--pads"", ""0"", ""10"", ""0"", ""0"", ""--face_det_batch_size"", ""16"", ""--wav2lip_batch_size"", ""128"", ""--resize_factor"", ""1""], ""wav-r3"": [""/workspace/d25-runtime/wav-env/bin/python"", ""inference.py"", ""--checkpoint_path"", ""checkpoints/Wav2Lip-SD-NOGAN-state.pth"", ""--face"", ""/workspace/d25-kit/inputs/input.mp4"", ""--audio"", ""/workspace/d25-kit/inputs/speech.wav"", ""--outfile"", ""/workspace/d25-evidence/wav-r3/result.mp4"", ""--pads"", ""0"", ""10"", ""0"", ""0"", ""--face_det_batch_size"", ""16"", ""--wav2lip_batch_size"", ""128"", ""--resize_factor"", ""1""], ""muse-r3"": [""/workspace/d25-runtime/muse-env/bin/python"", ""-m"", ""scripts.inference"", ""--inference_config"", ""/workspace/d25-kit/inputs/comparison.yaml"", ""--result_dir"", ""/workspace/d25-evidence/muse-r3/generated"", ""--unet_model_path"", ""models/musetalkV15/unet.pth"", ""--unet_config"", ""models/musetalkV15/musetalk.json"", ""--whisper_dir"", ""models/whisper"", ""--version"", ""v15"", ""--batch_size"", ""2"", ""--use_float16"", ""--bbox_shift"", ""0"", ""--fps"", ""25"", ""--extra_margin"", ""10"", ""--parsing_mode"", ""jaw"", ""--left_cheek_width"", ""90"", ""--right_cheek_width"", ""90"", ""--ffmpeg_path"", ""/usr/bin""]}"