Tencent AI Lab - V-Express Image to Animation Gradio Web APP and 1-Click Installers for Windows, Massed Compute, RunPod and Kaggle
Added 2025-07-13 21:00:00 +0000 UTCPatreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.
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Please also Star, Watch and Fork our Stable Diffusion & Generative AI GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)
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Latest Zip file : V_Express_Installers_V9.zip
Tutorial : https://youtu.be/xLqDTVWUSec
14 July 2025 Update
Installers were outdated and now works even with RTX 5000 GPUs
Windows, RunPod and Massed Compute installers updated and few errors fixed
Demo image and video added into zip file
21 June 2024 Update
Scripts upgraded to Version 7
Download latest V_Express_Installers zip file
Huge VRAM optimizations have arrived
Now with 8GB VRAM GPUs you can even generate 20 second videos or maybe even more
Now on Kaggle you may even generate 1 minute video try it
Installers are updated and all model files will be downloaded as a single zip file
Thus, you will be able to resume model download if fails with Resume_Models_Download_If_Error_Occurs.bat file
So pay attention to the installer CMD
13 June 2024 Update
All installers updated since the original authors had changed model source folder structure
12 June 2024 Update
Full Cloud tutorial video published : https://www.youtube.com/watch?v=GXBiqJOc9FE
Check the video chapters for Massed Compute, RunPod and Kaggle
Please also consider upvote and a comment to below reddit thread:
7 June 2024 Update
Free Kaggle Account notebook added with instructions
The notebook file is inside attachments zip file
6 June 2024 Update
Full Windows tutorial video published : https://youtu.be/xLqDTVWUSec
Please also consider upvote and a comment to below reddit thread:
You can see 34 comparison tests results and their configs in this file : https://huggingface.co/MonsterMMORPG/SECourses/resolve/main/Comparison_Tests.zip
I think best config is as below but you should look at each test
Retarget Strategy = offset_retarget , Reference Attention Weight = 1 , Audio Attention Weight = 1 and rest is default
Lower Audio Attention Weight = lesser erroneous mouth movements
Windows Requirements
Python 3.10, FFmpeg, CUDA 12.8, cuDNN 9.7, C++ Tools and Git
If it doesn't work make sure to below NEW tutorial and install everything exactly as shown in this below tutorial
RunPod Instructions
Please register for RunPod at : https://get.runpod.io/955rkuppqv4h
Select a GPU with a minimum of 24 GB VRAM, such as the RTX 3090.
Get a machine with minimum 48 GB RAM, getting multiple GPU machine better you will get more RAM
Choose a RunPod template:
RunPod Pytorch 2.2.0
runpod/pytorch:2.2.0-py3.10-cuda12.1.1-devel-ubuntu22.04
Follow Runpod_Instructions_READ.txt
Massed Compute Instructions
If you get 2x A6000 GPU it would work best with 96 GB RAM but not mandatory
Watch this instructional video to learn how to use Massed Compute:
Register for Massed Compute using the following link:
Important Notes:
Ensure each copy-paste action is accurate, as Massed Compute may not always copy-paste correctly.
Select an A6000 GPU or A6000 GPU ALT (if other one is not available) and use our code SECourses for huge discount.
Follow Massed_Compute_Instructions_READ.txt
Comments
hello. can you try demo video and images and see if they work or not and let me know?
Furkan Gözükara
2024-08-13 05:29:22 +0000 UTCi need help 2024-08-12 17:47:57.291772: I tensorflow/core/util/port.cc:153] 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`. 2024-08-12 17:48:05.436774: I tensorflow/core/util/port.cc:153] 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`. WARNING:tensorflow:From A:\V-Express\venv\lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\Python31011\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\Python31011\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host generating generate_kps_sequence_and_audio... INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.12). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (512, 512) ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers built with gcc 9.2.1 (GCC) 20200122 configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'C:\Users\Metr\AppData\Local\Temp\gradio\0cd61b9c0e97d47d65b66d273a1dfd3dbbe6759b\snow_itspuffpuff_1653493703_7101701373607021867_E_Improved_nosmooth1_pads-U-5D-5L-5R-5_mask-S0.1F5_mt.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf60.3.100 Duration: 00:00:07.04, start: 0.000000, bitrate: 4354 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 720x1280 [SAR 1:1 DAR 9:16], 4298 kb/s, 30 fps, 30 tbr, 15360 tbn, 60 tbc (default) Metadata: handler_name : VideoHandler encoder : Lavc60.3.100 libx264 Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 129 kb/s (default) Metadata: handler_name : SoundHandler Stream mapping: Stream #0:1 -> #0:0 (aac (native) -> mp3 (libmp3lame)) Press [q] to stop, [?] for help Output #0, mp3, to 'A:\V-Express\temp_process\ComfyUI_00303__20240812175043\target_audio.mp3': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 TSSE : Lavf58.29.100 Stream #0:0(und): Audio: mp3 (libmp3lame), 44100 Hz, stereo, fltp (default) Metadata: handler_name : SoundHandler encoder : Lavc58.54.100 libmp3lame size= 111kB time=00:00:07.08 bitrate= 128.9kbits/s speed=50.4x video:0kB audio:111kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.313149% Traceback (most recent call last): File "A:\V-Express\scripts\extract_kps_sequence_and_audio.py", line 56, in assert len(faces) == 1, f'There are {len(faces)} faces in the {frame_idx}-th frame. Only one face is supported.' AssertionError: There are 0 faces in the 0-th frame. Only one face is supported. auto cropping... Using GPU for RetinaFace detection. 2024-08-12 17:51:06.201158: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. No faces detected. starting inference... INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.12). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. WARNING:tensorflow:From A:\V-Express\venv\lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ./model_ckpts/wav2vec2-base-960h/ and are newly initialized: ['wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Loaded weights of Reference Net from ./model_ckpts/v-express/reference_net.bin. Loaded weights of Denoising U-Net from ./model_ckpts/v-express/denoising_unet.bin. Loaded weights of Denoising U-Net Motion Module from ./model_ckpts/v-express/motion_module.bin. Loaded weights of V-Kps Guider from ./model_ckpts/v-express/v_kps_guider.bin. Loaded weights of Audio Projection from ./model_ckpts/v-express/audio_projection.bin. Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (1280, 720) Traceback (most recent call last): File "A:\V-Express\inference.py", line 291, in main() File "A:\V-Express\inference.py", line 209, in main reference_kps = app.get(reference_image_for_kps)[0].kps[:3] File "A:\V-Express\venv\lib\site-packages\insightface\app\face_analysis.py", line 59, in get bboxes, kpss = self.det_model.detect(img, File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 224, in detect scores_list, bboxes_list, kpss_list = self.forward(det_img, self.det_thresh) File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 194, in forward bboxes = distance2bbox(anchor_centers, bbox_preds) File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 38, in distance2bbox x1 = points[:, 0] - distance[:, 0] ValueError: operands could not be broadcast together with shapes (1760,) (1840,) generating generate_kps_sequence_and_audio... INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.12). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: A:\V-Express\model_ckpts\insightface_models\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (512, 512) ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers built with gcc 9.2.1 (GCC) 20200122 configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'C:\Users\Metr\AppData\Local\Temp\gradio\0cd61b9c0e97d47d65b66d273a1dfd3dbbe6759b\snow_itspuffpuff_1653493703_7101701373607021867_E_Improved_nosmooth1_pads-U-5D-5L-5R-5_mask-S0.1F5_mt.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf60.3.100 Duration: 00:00:07.04, start: 0.000000, bitrate: 4354 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 720x1280 [SAR 1:1 DAR 9:16], 4298 kb/s, 30 fps, 30 tbr, 15360 tbn, 60 tbc (default) Metadata: handler_name : VideoHandler encoder : Lavc60.3.100 libx264 Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 129 kb/s (default) Metadata: handler_name : SoundHandler Stream mapping: Stream #0:1 -> #0:0 (aac (native) -> mp3 (libmp3lame)) Press [q] to stop, [?] for help Output #0, mp3, to 'A:\V-Express\temp_process\ComfyUI_00303__20240812175754\target_audio.mp3': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 TSSE : Lavf58.29.100 Stream #0:0(und): Audio: mp3 (libmp3lame), 44100 Hz, stereo, fltp (default) Metadata: handler_name : SoundHandler encoder : Lavc58.54.100 libmp3lame size= 111kB time=00:00:07.08 bitrate= 128.9kbits/s speed= 123x video:0kB audio:111kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.313149% Traceback (most recent call last): File "A:\V-Express\scripts\extract_kps_sequence_and_audio.py", line 56, in assert len(faces) == 1, f'There are {len(faces)} faces in the {frame_idx}-th frame. Only one face is supported.' AssertionError: There are 0 faces in the 0-th frame. Only one face is supported. auto cropping... starting inference... INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.12). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. WARNING:tensorflow:From A:\V-Express\venv\lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ./model_ckpts/wav2vec2-base-960h/ and are newly initialized: ['wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Loaded weights of Reference Net from ./model_ckpts/v-express/reference_net.bin. Loaded weights of Denoising U-Net from ./model_ckpts/v-express/denoising_unet.bin. Loaded weights of Denoising U-Net Motion Module from ./model_ckpts/v-express/motion_module.bin. Loaded weights of V-Kps Guider from ./model_ckpts/v-express/v_kps_guider.bin. Loaded weights of Audio Projection from ./model_ckpts/v-express/audio_projection.bin. Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (790, 416) Traceback (most recent call last): File "A:\V-Express\inference.py", line 291, in main() File "A:\V-Express\inference.py", line 209, in main reference_kps = app.get(reference_image_for_kps)[0].kps[:3] File "A:\V-Express\venv\lib\site-packages\insightface\app\face_analysis.py", line 59, in get bboxes, kpss = self.det_model.detect(img, File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 224, in detect scores_list, bboxes_list, kpss_list = self.forward(det_img, self.det_thresh) File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 194, in forward bboxes = distance2bbox(anchor_centers, bbox_preds) File "A:\V-Express\venv\lib\site-packages\insightface\model_zoo\retinaface.py", line 38, in distance2bbox x1 = points[:, 0] - distance[:, 0] ValueError: operands could not be broadcast together with shapes (10192,) (10296,)
Hash Bookies
2024-08-12 22:00:59 +0000 UTCgreat. could you let me know the error so if someone gets similar i can tell them
Furkan Gözükara
2024-07-25 21:20:45 +0000 UTCI discovered the issue. It was user-error. Please disregard. Thank you!
Brett Baker
2024-07-25 21:12:20 +0000 UTCyes you can undervolt your CPU and GPU - and lower clock speeds. normally no app can cause it so you have instability issues unrelated to this app
Furkan Gözükara
2024-07-25 21:00:44 +0000 UTCsadly this doesnt tell the error. can you try demo material to see if working?
Furkan Gözükara
2024-07-25 21:00:10 +0000 UTCHi, I just started using V-express again after a couple of weeks and I'm suddenly getting the error below when trying to generate the video. I've tried images and audio that worked in the past and even those are causing this error now. Any help is appreciated. Thank you! "2024-07-25 16:34:31.735470: I tensorflow/core/util/port.cc:113] 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`. 2024-07-25 16:34:32.140433: I tensorflow/core/util/port.cc:113] 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`. WARNING:tensorflow:From C:\AI\V_Express\V-Express\venv\lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Using GPU for RetinaFace detection. 2024-07-25 16:35:57.594380: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. ffmpeg version 2023-06-21-git-1bcb8a7338-essentials_build-www.gyan.dev Copyright (c) 2000-2023 the FFmpeg developers built with gcc 12.2.0 (Rev10, Built by MSYS2 project) configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libvpl --enable-libgme --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-librubberband libavutil 58. 13.101 / 58. 13.101 libavcodec 60. 21.100 / 60. 21.100 libavformat 60. 9.100 / 60. 9.100 libavdevice 60. 2.100 / 60. 2.100 libavfilter 9. 8.102 / 9. 8.102 libswscale 7. 3.100 / 7. 3.100 libswresample 4. 11.100 / 4. 11.100 libpostproc 57. 2.100 / 57. 2.100 [aist#0:0/pcm_f32le @ 000002106d02fa00] Guessed Channel Layout: mono Input #0, wav, from 'C:\Users\bbaker\AppData\Local\Temp\gradio\7163b867f3339b759c9351387783f92a35e0cf38\Ben_Franklin_Voice_Audio.wav': Duration: 00:00:08.87, bitrate: 1416 kb/s Stream #0:0: Audio: pcm_f32le ([3][0][0][0] / 0x0003), 44100 Hz, 1 channels, flt, 1411 kb/s Stream mapping: Stream #0:0 -> #0:0 (pcm_f32le (native) -> mp3 (libmp3lame)) Press [q] to stop, [?] for help Output #0, mp3, to 'temp_process\Ben_Franklin512_20240725163613\target_audio_converted.mp3': Metadata: TSSE : Lavf60.9.100 Stream #0:0: Audio: mp3, 44100 Hz, mono, fltp Metadata: encoder : Lavc60.21.100 libmp3lame [out#0/mp3 @ 000002106d02fe00] video:0kB audio:102kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.215534% size= 103kB time=00:00:08.85 bitrate= 94.9kbits/s speed= 174x auto cropping... starting inference... INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.11 (you have 1.4.8). Upgrade using: pip install --upgrade albumentations WARNING:tensorflow:From C:\AI\V_Express\V-Express\venv\lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. Some weights of the model checkpoint at ./model_ckpts/wav2vec2-base-960h/ were not used when initializing Wav2Vec2Model: ['lm_head.weight', 'lm_head.bias'] - This IS expected if you are initializing Wav2Vec2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing Wav2Vec2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of Wav2Vec2Model were not initialized from the model checkpoint at ./model_ckpts/wav2vec2-base-960h/ and are newly initialized: ['wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Loaded weights of Reference Net from ./model_ckpts/v-express/reference_net.pth. Loaded weights of Denoising U-Net from ./model_ckpts/v-express/denoising_unet.pth. Loaded weights of Denoising U-Net Motion Module from ./model_ckpts/v-express/motion_module.pth. Loaded weights of V-Kps Guider from ./model_ckpts/v-express/v_kps_guider.pth. Loaded weights of Audio Projection from ./model_ckpts/v-express/audio_projection.pth. Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}} find model: ./model_ckpts/insightface_models/models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (512, 512) Length of audio is 391068 with the sampling rate of 44100. The corresponding video length is 266. Traceback (most recent call last): File "C:\AI\V_Express\V-Express\inference.py", line 277, in main() File "C:\AI\V_Express\V-Express\inference.py", line 230, in main kps_sequence = retarget_kps(reference_kps, kps_sequence, only_offset=True) UnboundLocalError: local variable 'kps_sequence' referenced before assignment"
Brett Baker
2024-07-25 20:43:04 +0000 UTCThis AI tool cant face swap on more than 5 minute long 4k video at Rtx 4090, due to overheating, the PC is getting restarted again and again. is there any solution of this
Anshul Gupta
2024-07-14 11:58:59 +0000 UTChello it turns out that original authors had changed the folder structure in hugging face repo. i have updated all installers please reinstall now works ty
Furkan Gözükara
2024-06-13 01:18:03 +0000 UTChello it turns out that original authors had changed the folder structure in hugging face repo. i have updated all installers please reinstall now works ty
Furkan Gözükara
2024-06-13 01:17:16 +0000 UTCsorry for late reply. it is accurate template. i am gonna test again now. the demo files are in attachments of this post. e.g. : Demo_Images_And_Videos_Part2.zip
Furkan Gözükara
2024-06-12 23:33:43 +0000 UTCI picked RunPod Pytorch 2.1 https://postimg.cc/crYCjN9d Where can i find demo content?
Schlecky Silberstein
2024-06-12 14:55:29 +0000 UTCSadly no idea about it :/
Furkan Gözükara
2024-06-12 11:20:46 +0000 UTCI have 2 gpu 3090 dual link, do the following to run it on 2GPU, do you have any way?
Đạt Nguyễn
2024-06-12 10:57:33 +0000 UTCThat means install error. You have to have python 3.10, Cuda 11.8 and c++ tools and ffmpeg installed on Linux as well. You can see all installed on massed compute virtual machine
Furkan Gözükara
2024-06-12 09:22:04 +0000 UTCThe corresponding video length is 1600. Traceback (most recent call last): File "/media/dev_ai/LinuxData2/V_Express_Installers_V4/V-Express/inference.py", line 277, in main() File "/media/dev_ai/LinuxData2/V_Express_Installers_V4/V-Express/inference.py", line 217, in main assert os.path.exists(args.kps_path), f'{args.kps_path} does not exist' AssertionError: ./temp_process/tttttt(11)_20240612150754/kps.pth does not exist how to fix it ?
Đạt Nguyễn
2024-06-12 08:09:15 +0000 UTCI am sorry for late reply. A6000 GPU and coupon code is SECourses. it will be 31 cents per hour
Furkan Gözükara
2024-06-06 10:52:26 +0000 UTCHello, should I select your deploy creator wise GPU to run this on mass compute? Please help as I am new to all this but want to use this tech GPU Type: L40 GPU Quantity: 1 Category: Creator Image: SECourses SSH Key: Coupon Code Verify Deploy 4 Available Specs: RAM: 128 GB, Storage: 625 GB, vCPU: 26 Price: $0.99/hour
Sahil Sangani
2024-06-06 03:54:33 +0000 UTCyou are welcome
Furkan Gözükara
2024-06-03 15:49:56 +0000 UTCI will install as recommended and run the windows update bat file. Thank you so much for looking into this!
Brett Baker
2024-06-03 11:06:22 +0000 UTCit was due to you having space character in your folder path. the error was from the original repo authors. just made update. but still it is best if you install into like c:/my_Ai. now run windows update bat file and it should be fixed
Furkan Gözükara
2024-06-03 01:36:39 +0000 UTCVery probably since you have space character in your folder path. I am gonna test.
Furkan Gözükara
2024-06-03 00:33:38 +0000 UTCThank you for your quick reply! Yes, I have ffmpeg installed accurately. My python version is Python 3.10.10. Here is a video capture of the process that is happening. https://www.youtube.com/watch?v=naQxO0GEcKE
Brett Baker
2024-06-03 00:25:36 +0000 UTCcan you show me screenshot of your error getting? i tested all combinations never had any error what are the file names? did you install ffmpeg accurate? type ffmpeg and let me know what you see. also your python version?
Furkan Gözükara
2024-06-03 00:06:43 +0000 UTCThank you! The install worked perfectly. I was able to generate a video using an image and an .mp3 audio file using the fix_face Retarget Strategy, When I use an image and an .mp4 video using either offset or naive retarget strategy, I get the error " raise RuntimeError(f"File not found: {filename}") RuntimeError: File not found: temp_process\ref_20240602195005\target_audio.mp3" Do you know what might be causing this error?
Brett Baker
2024-06-03 00:03:17 +0000 UTC
