[ ] The issue exists after disabling all extensions
[ ] The issue exists on a clean installation of webui
[ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
[ ] The issue exists in the current version of the webui
[ ] The issue has not been reported before recently
[ ] The issue has been reported before but has not been fixed yet
What happened?
The error occurs when I move the slide to close the lips in the Live Portrait extension, before I didn't get that error, but now I do.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-605-g05b01da0
Commit hash: 05b01da01f76c97011358a415820360546d284fb
Installing sd-webui-live-portrait requirement: changing imageio-ffmpeg version from None to 0.5.1
Installing sd-webui-live-portrait requirement: pykalman
Installing sd-webui-live-portrait requirement: onnxruntime-gpu==1.18 --extra-index-url "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/"
Found existing installation: onnxruntime-gpu 1.18.0
Uninstalling onnxruntime-gpu-1.18.0:
Successfully uninstalled onnxruntime-gpu-1.18.0
Looking in indexes: https://pypi.org/simple, https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/
Collecting onnxruntime-gpu==1.17.1
Downloading https://aiinfra.pkgs.visualstudio.com/2692857e-05ef-43b4-ba9c-ccf1c22c437c/_packaging/9387c3aa-d9ad-4513-968c-383f6f7f53b8/pypi/download/onnxruntime-gpu/1.17.1/onnxruntime_gpu-1.17.1-cp310-cp310-win_amd64.whl (149.1 MB)
-------------------------------------- 149.1/149.1 MB 2.4 MB/s eta 0:00:00
Requirement already satisfied: coloredlogs in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (15.0.1)
Requirement already satisfied: flatbuffers in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (24.3.25)
Requirement already satisfied: numpy>=1.21.6 in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (1.26.2)
Requirement already satisfied: packaging in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (23.2)
Requirement already satisfied: protobuf in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (3.20.0)
Requirement already satisfied: sympy in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (1.12)
Requirement already satisfied: humanfriendly>=9.1 in c:\ia(forge)\system\python\lib\site-packages (from coloredlogs->onnxruntime-gpu==1.17.1) (10.0)
Requirement already satisfied: mpmath>=0.19 in c:\ia(forge)\system\python\lib\site-packages (from sympy->onnxruntime-gpu==1.17.1) (1.3.0)
Requirement already satisfied: pyreadline3 in c:\ia(forge)\system\python\lib\site-packages (from humanfriendly>=9.1->coloredlogs->onnxruntime-gpu==1.17.1) (3.4.1)
Installing collected packages: onnxruntime-gpu
Successfully installed onnxruntime-gpu-1.17.1
CUDA 12.1
+---------------------------------+
--- PLEASE, RESTART the Server! ---
+---------------------------------+
Launching Web UI with arguments: --xformers --skip-torch-cuda-test --precision full --no-half --no-half-vae
Total VRAM 6144 MB, total RAM 15834 MB
pytorch version: 2.3.1+cu121
xformers version: 0.0.27
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce GTX 1660 SUPER : native
VAE dtype preferences: [torch.float32] -> torch.float32
CUDA Using Stream: False
C:\ia(forge)\system\python\lib\site-packages\transformers\utils\hub.py:128: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead.
warnings.warn(
Using xformers cross attention
Using xformers attention for VAE
ControlNet preprocessor location: C:\ia(forge)\webui\models\ControlNetPreprocessor
[-] ADetailer initialized. version: 24.9.0, num models: 10
10:01:00 - ReActor - STATUS - Running v0.7.1-b2 on Device: CUDA
Loading additional modules ... done.
2024-11-15 10:01:24,738 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'C:\ia(forge)\webui\models\Stable-diffusion\realisticVisionV60B1_v51VAE-inpainting.safetensors', 'hash': 'b7aa5c67'}, 'additional_modules': [], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Running on local URL: http://127.0.0.1:7860/
To create a public link, set share=True in launch().
Startup time: 217.9s (prepare environment: 165.2s, launcher: 0.7s, import torch: 12.4s, initialize shared: 0.3s, other imports: 0.6s, load scripts: 5.7s, initialize google blockly: 21.9s, create ui: 7.5s, gradio launch: 3.3s, app_started_callback: 0.1s).
Environment vars changed: {'stream': False, 'inference_memory': 4687.0, 'pin_shared_memory': False}
[GPU Setting] You will use 23.70% GPU memory (1456.00 MB) to load weights, and use 76.30% GPU memory (4687.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False}
[GPU Setting] You will use 83.33% GPU memory (5119.00 MB) to load weights, and use 16.67% GPU memory (1024.00 MB) to do matrix computation.
Environment vars changed: {'stream': False, 'inference_memory': 4687.0, 'pin_shared_memory': False}
[GPU Setting] You will use 23.70% GPU memory (1456.00 MB) to load weights, and use 76.30% GPU memory (4687.00 MB) to do matrix computation.
[10:01:52] Load appearance_feature_extractor from live_portrait_wrapper.py:46
C:\ia(forge)\webui\models\liveportrait\base_models\appearance_feature_extractor.s
afetensors done.
Load motion_extractor from live_portrait_wrapper.py:49
C:\ia(forge)\webui\models\liveportrait\base_models\motion_extractor.safetensors
done.
[10:01:53] Load warping_module from live_portrait_wrapper.py:52
C:\ia(forge)\webui\models\liveportrait\base_models\warping_module.safetensors
done.
[10:01:54] Load spade_generator from live_portrait_wrapper.py:55
C:\ia(forge)\webui\models\liveportrait\base_models\spade_generator.safetensors
done.
Load stitching_retargeting_module from live_portrait_wrapper.py:59
C:\ia(forge)\webui\models\liveportrait\retargeting_models\stitching_retargeting_m
odule.safetensors done.
Using InsightFace cropper live_portrait_pipeline.py:47
[10:01:58] FaceAnalysisDIY warmup time: 2.770s face_analysis_diy.py:79
[10:02:00] LandmarkRunner warmup time: 1.117s human_landmark_runner.py:95
Load source image from C:\Users\Usuario\AppData\Local\Temp\gradio\tmpzmbcg7mo.png. gradio_pipeline.py:421
[10:02:04] Calculating eyes-open and lip-open ratios successfully! gradio_pipeline.py:432
Traceback (most recent call last):
File "C:\ia(forge)\system\python\lib\site-packages\gradio\queueing.py", line 536, in process_events
response = await route_utils.call_process_api(
File "C:\ia(forge)\system\python\lib\site-packages\gradio\route_utils.py", line 285, in call_process_api
output = await app.get_blocks().process_api(
File "C:\ia(forge)\system\python\lib\site-packages\gradio\blocks.py", line 1923, in process_api
result = await self.call_function(
File "C:\ia(forge)\system\python\lib\site-packages\gradio\blocks.py", line 1508, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "C:\ia(forge)\system\python\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\ia(forge)\system\python\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "C:\ia(forge)\system\python\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, args)
File "C:\ia(forge)\system\python\lib\site-packages\gradio\utils.py", line 818, in wrapper
response = f(args, kwargs)
File "C:\ia(forge)\webui\extensions\sd-webui-live-portrait\scripts\main.py", line 183, in gpu_wrapped_execute_image_retargeting
out, out_to_ori_blend = pipeline.execute_image_retargeting(*args, *kwargs)
File "C:\ia(forge)\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(args, kwargs)
File "C:\ia(forge)\webui\extensions\sd-webui-live-portrait\liveportrait\gradio_pipeline.py", line 310, in execute_image_retargeting
lip_variation_three = torch.tensor(lip_variation_three).to(device)
RuntimeError: Could not infer dtype of NoneType
Checklist
What happened?
The error occurs when I move the slide to close the lips in the Live Portrait extension, before I didn't get that error, but now I do.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f2.0.1v1.10.1-previous-605-g05b01da0 Commit hash: 05b01da01f76c97011358a415820360546d284fb Installing sd-webui-live-portrait requirement: changing imageio-ffmpeg version from None to 0.5.1 Installing sd-webui-live-portrait requirement: pykalman Installing sd-webui-live-portrait requirement: onnxruntime-gpu==1.18 --extra-index-url "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/" Found existing installation: onnxruntime-gpu 1.18.0 Uninstalling onnxruntime-gpu-1.18.0: Successfully uninstalled onnxruntime-gpu-1.18.0 Looking in indexes: https://pypi.org/simple, https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ Collecting onnxruntime-gpu==1.17.1 Downloading https://aiinfra.pkgs.visualstudio.com/2692857e-05ef-43b4-ba9c-ccf1c22c437c/_packaging/9387c3aa-d9ad-4513-968c-383f6f7f53b8/pypi/download/onnxruntime-gpu/1.17.1/onnxruntime_gpu-1.17.1-cp310-cp310-win_amd64.whl (149.1 MB) -------------------------------------- 149.1/149.1 MB 2.4 MB/s eta 0:00:00 Requirement already satisfied: coloredlogs in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (15.0.1) Requirement already satisfied: flatbuffers in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (24.3.25) Requirement already satisfied: numpy>=1.21.6 in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (1.26.2) Requirement already satisfied: packaging in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (23.2) Requirement already satisfied: protobuf in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (3.20.0) Requirement already satisfied: sympy in c:\ia(forge)\system\python\lib\site-packages (from onnxruntime-gpu==1.17.1) (1.12) Requirement already satisfied: humanfriendly>=9.1 in c:\ia(forge)\system\python\lib\site-packages (from coloredlogs->onnxruntime-gpu==1.17.1) (10.0) Requirement already satisfied: mpmath>=0.19 in c:\ia(forge)\system\python\lib\site-packages (from sympy->onnxruntime-gpu==1.17.1) (1.3.0) Requirement already satisfied: pyreadline3 in c:\ia(forge)\system\python\lib\site-packages (from humanfriendly>=9.1->coloredlogs->onnxruntime-gpu==1.17.1) (3.4.1) Installing collected packages: onnxruntime-gpu Successfully installed onnxruntime-gpu-1.17.1 CUDA 12.1
Launching Web UI with arguments: --xformers --skip-torch-cuda-test --precision full --no-half --no-half-vae Total VRAM 6144 MB, total RAM 15834 MB pytorch version: 2.3.1+cu121 xformers version: 0.0.27 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce GTX 1660 SUPER : native VAE dtype preferences: [torch.float32] -> torch.float32 CUDA Using Stream: False C:\ia(forge)\system\python\lib\site-packages\transformers\utils\hub.py:128: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead. warnings.warn( Using xformers cross attention Using xformers attention for VAE ControlNet preprocessor location: C:\ia(forge)\webui\models\ControlNetPreprocessor [-] ADetailer initialized. version: 24.9.0, num models: 10 10:01:00 - ReActor - STATUS - Running v0.7.1-b2 on Device: CUDA Loading additional modules ... done. 2024-11-15 10:01:24,738 - ControlNet - INFO - ControlNet UI callback registered. Model selected: {'checkpoint_info': {'filename': 'C:\ia(forge)\webui\models\Stable-diffusion\realisticVisionV60B1_v51VAE-inpainting.safetensors', 'hash': 'b7aa5c67'}, 'additional_modules': [], 'unet_storage_dtype': None} Using online LoRAs in FP16: False Running on local URL: http://127.0.0.1:7860/
To create a public link, set share=True in launch(). Startup time: 217.9s (prepare environment: 165.2s, launcher: 0.7s, import torch: 12.4s, initialize shared: 0.3s, other imports: 0.6s, load scripts: 5.7s, initialize google blockly: 21.9s, create ui: 7.5s, gradio launch: 3.3s, app_started_callback: 0.1s). Environment vars changed: {'stream': False, 'inference_memory': 4687.0, 'pin_shared_memory': False} [GPU Setting] You will use 23.70% GPU memory (1456.00 MB) to load weights, and use 76.30% GPU memory (4687.00 MB) to do matrix computation. Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False} [GPU Setting] You will use 83.33% GPU memory (5119.00 MB) to load weights, and use 16.67% GPU memory (1024.00 MB) to do matrix computation. Environment vars changed: {'stream': False, 'inference_memory': 4687.0, 'pin_shared_memory': False} [GPU Setting] You will use 23.70% GPU memory (1456.00 MB) to load weights, and use 76.30% GPU memory (4687.00 MB) to do matrix computation. [10:01:52] Load appearance_feature_extractor from live_portrait_wrapper.py:46 C:\ia(forge)\webui\models\liveportrait\base_models\appearance_feature_extractor.s afetensors done. Load motion_extractor from live_portrait_wrapper.py:49 C:\ia(forge)\webui\models\liveportrait\base_models\motion_extractor.safetensors done. [10:01:53] Load warping_module from live_portrait_wrapper.py:52 C:\ia(forge)\webui\models\liveportrait\base_models\warping_module.safetensors done. [10:01:54] Load spade_generator from live_portrait_wrapper.py:55 C:\ia(forge)\webui\models\liveportrait\base_models\spade_generator.safetensors done. Load stitching_retargeting_module from live_portrait_wrapper.py:59 C:\ia(forge)\webui\models\liveportrait\retargeting_models\stitching_retargeting_m odule.safetensors done. Using InsightFace cropper live_portrait_pipeline.py:47 [10:01:58] FaceAnalysisDIY warmup time: 2.770s face_analysis_diy.py:79 [10:02:00] LandmarkRunner warmup time: 1.117s human_landmark_runner.py:95 Load source image from C:\Users\Usuario\AppData\Local\Temp\gradio\tmpzmbcg7mo.png. gradio_pipeline.py:421 [10:02:04] Calculating eyes-open and lip-open ratios successfully! gradio_pipeline.py:432 Traceback (most recent call last): File "C:\ia(forge)\system\python\lib\site-packages\gradio\queueing.py", line 536, in process_events response = await route_utils.call_process_api( File "C:\ia(forge)\system\python\lib\site-packages\gradio\route_utils.py", line 285, in call_process_api output = await app.get_blocks().process_api( File "C:\ia(forge)\system\python\lib\site-packages\gradio\blocks.py", line 1923, in process_api result = await self.call_function( File "C:\ia(forge)\system\python\lib\site-packages\gradio\blocks.py", line 1508, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "C:\ia(forge)\system\python\lib\site-packages\anyio\to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "C:\ia(forge)\system\python\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "C:\ia(forge)\system\python\lib\site-packages\anyio_backends_asyncio.py", line 807, in run result = context.run(func, args) File "C:\ia(forge)\system\python\lib\site-packages\gradio\utils.py", line 818, in wrapper response = f(args, kwargs) File "C:\ia(forge)\webui\extensions\sd-webui-live-portrait\scripts\main.py", line 183, in gpu_wrapped_execute_image_retargeting out, out_to_ori_blend = pipeline.execute_image_retargeting(*args, *kwargs) File "C:\ia(forge)\system\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "C:\ia(forge)\webui\extensions\sd-webui-live-portrait\liveportrait\gradio_pipeline.py", line 310, in execute_image_retargeting lip_variation_three = torch.tensor(lip_variation_three).to(device) RuntimeError: Could not infer dtype of NoneType
Steps to reproduce the problem
.
What should have happened?
.
What browsers do you use to access the UI ?
No response
Sysinfo
.
Console logs
Additional information
No response