Please Fix this project to work with the latest CUDA and if possible have a video tutorial. TIA

[oisilener1982]

After the work arounds i managed to open gradio but i got this error:

(mofa) D:\AI\MOFA-Video\MOFA-Video-Hybrid>python run_gradio_audio_driven.py C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\requests_init_.py:86: RequestsDependencyWarning: Unable to find acceptable character detection dependency (chardet or charset_normalizer). warnings.warn( start loading models... IMPORTANT: You are using gradio version 4.5.0, however version 4.29.0 is available, please upgrade.

layers per block is 2 layers per block is 2 => loading checkpoint './models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar' caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder4.8.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder1.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.0.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.2.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_encoder.features.5.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.0.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.0.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.fusion8.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder8.8.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.1.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.2.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.0.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder4.5.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.0.downsample.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.2.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.0.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.2.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder8.5.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.2.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.0.downsample.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.2.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.2.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.3.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.1.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder1.7.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.1.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.0.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.0.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.skipconv4.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.2.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.3.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder4.2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.2.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.0.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder1.4.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.1.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.0.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.0.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.3.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder8.2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_encoder.features.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.4.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.0.downsample.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.fusion4.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.3.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.2.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder2.5.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.5.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder2.2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.0.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.1.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.0.downsample.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.1.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.1.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.1.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.1.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.5.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.2.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.4.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.5.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.decoder2.8.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer1.1.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.1.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.2.bn1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer4.1.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer2.3.bn3.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.fusion2.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.4.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.0.bn2.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.flow_decoder.skipconv2.1.num_batches_tracked caution: missing keys from checkpoint ./models/cmp/experiments/semiauto_annot/resnet50_vip+mpii_liteflow/checkpoints\ckpt_iter_42000.pth.tar: module.image_encoder.layer3.3.bn2.num_batches_tracked Loading pipeline components...: 100%|████████████████████████████████████████████████████| 5/5 [00:00<00:00, 80.03it/s] models loaded. Running on local URL: http://127.0.0.1:9080

To create a public link, set share=True in launch(). You selected None at [170, 216] from image [[[170, 216]]] You selected None at [162, 265] from image [[[170, 216], [162, 265]]] torch.Size([1, 24, 2, 512, 512]) You selected None at [274, 231] from image [[[170, 216], [162, 265]], [[274, 231]]] You selected None at [284, 269] from image [[[170, 216], [162, 265]], [[274, 231], [284, 269]]] torch.Size([1, 24, 2, 512, 512]) torch.Size([1, 24, 2, 512, 512]) You selected None at [280, 222] from image [[[170, 216], [162, 265]], [[280, 222]]] You selected None at [267, 276] from image [[[170, 216], [162, 265]], [[280, 222], [267, 276]]] torch.Size([1, 24, 2, 512, 512]) C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\requests_init_.py:86: RequestsDependencyWarning: Unable to find acceptable character detection dependency (chardet or charset_normalizer). warnings.warn( using safetensor as default load [net_G] and [net_G_ema] from ./ckpts/sad_talker\epoch_00190_iteration_000400000_checkpoint.pt 3DMM Extraction for source image Traceback (most recent call last): File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\sadtalker_audio2pose\inference.py", line 187, in main(args) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\sadtalker_audio2pose\inference.py", line 76, in main first_coeff_path, crop_pic_path, crop_info = preprocess_model.generate(pic_path, first_frame_dir, args.preprocess,
File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\sadtalker_audio2pose\src\utils\preprocess.py", line 103, in generate x_full_frames, crop, quad = self.propress.crop(x_full_frames, still=True if 'ext' in crop_or_resize.lower() else False, xsize=512) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\sadtalker_audio2pose\src\utils\croper.py", line 129, in crop lm = self.get_landmark(img_np) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\sadtalker_audio2pose\src\utils\croper.py", line 35, in get_landmark lm = landmark_98_to_68(self.predictor.detector.get_landmarks(img)) # [0] File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\facexlib\alignment\awing_arch.py", line 373, in get_landmarks pred = calculate_points(heatmaps).reshape(-1, 2) File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\facexlib\alignment\awing_arch.py", line 18, in calculate_points preds = preds.astype(np.float, copy=False) File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\numpy_init_.py", line 324, in getattr raise AttributeError(former_attrs[attr]) AttributeError: module 'numpy' has no attribute 'float'. np.float was a deprecated alias for the builtin float. To avoid this error in existing code, use float by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64 here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'cfloat'? Traceback (most recent call last): File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 456, in call_prediction output = await route_utils.call_process_api( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\route_utils.py", line 232, in call_process_api output = await app.get_blocks().process_api( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\blocks.py", line 1522, in process_api result = await self.call_function( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\blocks.py", line 1144, in call_function prediction = await anyio.to_thread.run_sync( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread return await future File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio_backends_asyncio.py", line 859, in run result = context.run(func, *args) File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\utils.py", line 674, in wrapper response = f(*args, **kwargs) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 860, in run outputs = self.forward_sample( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 442, in forward_sample ldmk_controlnet_flow, ldmk_pose_imgs, landmarks, num_frames = self.get_landmarks(save_root, first_frame_path, audio_path, input_first_frame[0], self.model_length, ldmk_render=ldmk_render) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 708, in get_landmarks ldmknpy_dir = self.audio2landmark(audio_path, first_frame_path, ldmk_dir, ldmk_render) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 688, in audio2landmark assert return_code == 0, "Errors in generating landmarks! Please trace back up for detailed error report." AssertionError: Errors in generating landmarks! Please trace back up for detailed error report. Traceback (most recent call last): File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 456, in call_prediction output = await route_utils.call_process_api( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\route_utils.py", line 232, in call_process_api output = await app.get_blocks().process_api( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\blocks.py", line 1522, in process_api result = await self.call_function( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\blocks.py", line 1144, in call_function prediction = await anyio.to_thread.run_sync( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread return await future File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\anyio_backends_asyncio.py", line 859, in run result = context.run(func, *args) File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\utils.py", line 674, in wrapper response = f(*args, **kwargs) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 860, in run outputs = self.forward_sample( File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 442, in forward_sample ldmk_controlnet_flow, ldmk_pose_imgs, landmarks, num_frames = self.get_landmarks(save_root, first_frame_path, audio_path, input_first_frame[0], self.model_length, ldmk_render=ldmk_render) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 708, in get_landmarks ldmknpy_dir = self.audio2landmark(audio_path, first_frame_path, ldmk_dir, ldmk_render) File "D:\AI\MOFA-Video\MOFA-Video-Hybrid\run_gradio_audio_driven.py", line 688, in audio2landmark assert return_code == 0, "Errors in generating landmarks! Please trace back up for detailed error report." AssertionError: Errors in generating landmarks! Please trace back up for detailed error report.

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 501, in process_events response = await self.call_prediction(awake_events, batch) File "C:\Users\Renel\anaconda3\envs\mofa\lib\site-packages\gradio\queueing.py", line 465, in call_prediction raise Exception(str(error) if show_error else None) from error Exception: None