ValueError: only one element tensors can be converted to Python scalars

[wencxxxxxx]

What is the reason for this, thank you for your help

[dafeng012]

我找到了解决办法，我是在本地python-embed移动环境里面安装这个库python.exe -m pip install face-recognition

[dafeng012]

我找到了解决办法，我是在本地python-embed移动环境里面安装这个库python.exe -m pip install face-recognition

我单独使用时没问题，但是放入其他工作流中使用，仍然有问题

[dafeng012]

我找到了解决办法，我是在本地python-embed移动环境里面安装这个库python.exe -m pip install face-recognition

我单独使用时没问题，但是放入其他工作流中使用，仍然有问题

![Uploading Snipaste_2024-04-12_11-35-37.png…]()

[rkuzmin]

Got the same problem. dlib and inisightface are installed

[vootox]

When I set 'filter_best = 1' error But with filter_best = 0 no error That's all I know

[lhovav]

I have this issute too..."only one element tensors can be converted to Python scalars"

[cubiq]

I need the full backtrace

[lhovav]

ohh sorry, I didn't want to jump into someone's else ticket..

FETCH DATA from: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager\extension-node-map.json got prompt Failed to validate prompt for output 30:

• (prompt):
  • Required input is missing: images
• PreviewImage 30:
  • Required input is missing: images Output will be ignored [rgthree] Using rgthree's optimized recursive execution. [rgthree] First run patching recursive_output_delete_if_changed and recursive_will_execute. [rgthree] Note: If execution seems broken due to forward ComfyUI changes, you can disable the optimization from rgthree settings in ComfyUI. Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (640, 640) model_type EPS Using xformers attention in VAE Using xformers attention in VAE loaded straight to GPU Requested to load BaseModel Loading 1 new model INFO: Clip Vision model loaded from D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\clip_vision\CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors INFO: IPAdapter model loaded from D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\ipadapter\ip-adapter-faceid-plusv2_sd15.bin INFO: LoRA model loaded from D:\programs\Python310\Projects\A1111\stable-diffusion-webui\models/Lora\ip-adapter-faceid-plusv2_sd15_lora.safetensors Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\insightface\models\buffalo_l\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (640, 640) INFO: InsightFace model loaded with CPU provider INFO: the IPAdapter reference image is not a square, CLIPImageProcessor will resize and crop it at the center. If the main focus of the picture is not in the middle the result might not be what you are expecting. INFO: InsightFace detection resolution lowered to (576, 576). Requested to load CLIPVisionModelProjection Loading 1 new model INFO: IPAdapter model loaded from D:\programs\SD\ComfyUI_windows_portable\ComfyUI\models\ipadapter\ip-adapter-plus-face_sd15.bin Requested to load SD1ClipModel Loading 1 new model Requested to load BaseModel Loading 1 new model 100%|##################################################################################| 12/12 [00:01<00:00, 6.73it/s] Using xformers attention in VAE Using xformers attention in VAE Requested to load AutoencoderKL Loading 1 new model Face Analysis: value: 0.3327401876449585, normalized: 0.48932380536023307 !!! Exception during processing!!! only one element tensors can be converted to Python scalars Traceback (most recent call last): File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_FaceAnalysis\faceanalysis.py", line 452, in analize out = np.array(out) ValueError: only one element tensors can be converted to Python scalars

Prompt executed in 10.78 seconds

I updated the custom node, comfyui, installed dlib (insightface works well), can't chose dlib though under the face analysis models

Thanks.

[cubiq]

please check the latest version. I believe this is caused by an older numpy version, but the new code should work anyway

[lhovav]

Thanks for the quick reply Matteo

I have the latest version I believe: numpy 1.26.4 (I updated it earlier today) - But now after reloading everything I get this message:

Error occurred when executing FaceEmbedDistance:

can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint64, uint32, uint16, uint8, and bool.

File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\programs\SD\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_FaceAnalysis\faceanalysis.py", line 455, in analize out = torch.from_numpy(out[idx][:filter_best])

Thanks.

[cubiq]

you need to update this extension as well

[lhovav]

Wow I pulled something new...But I swear I did like 2 hours ago a pull...did you update it recently or am i tripping? I see you had 20 minutes ago an update, was it related to this issue? - ohh and its working for me - you need to win a noble price Matteo

[cubiq]

yes I just pushed an update. glad it finally works

[lhovav]

Awesome job Matteo - Thank you very much..<3

[vootox]

Also working!