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cannot load model anymore as weights_only #271
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I am facing the same issue, Did you find any solution??
Reacted by NazariiHey, the following issue can be easily solved with downgrading the torch to 1 version.
For example, I have used:
pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116As well as, update the numpy to make it work again:
pip install numpy==1.24.3Reacted by beefsoup18Hey, the following issue can be easily solved with downgrading the torch to 1 version. For example, I have used: pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116
As well as, update the numpy to make it work again: pip install numpy==1.24.3
And by this solution your python version could only be 3.9 or 3.10
I was able to get this working with python-3.13, torch-2.7.1 and numpy-2.2.6 by following the advice in the error messages and adding a bunch of
torch.serialization.add_safe_globalscalls before loading the model.from fastsam import FastSAM, FastSAMPrompt import torch, ultralytics torch.serialization.add_safe_globals([ultralytics.nn.tasks.SegmentationModel]) torch.serialization.add_safe_globals([torch.nn.modules.container.Sequential]) torch.serialization.add_safe_globals([ultralytics.nn.modules.conv.Conv]) torch.serialization.add_safe_globals([torch.nn.modules.conv.Conv2d]) torch.serialization.add_safe_globals([torch.nn.modules.batchnorm.BatchNorm2d]) torch.serialization.add_safe_globals([torch.nn.modules.activation.SiLU]) torch.serialization.add_safe_globals([ultralytics.nn.modules.block.C2f]) torch.serialization.add_safe_globals([torch.nn.modules.container.ModuleList]) torch.serialization.add_safe_globals([ultralytics.nn.modules.block.Bottleneck]) torch.serialization.add_safe_globals([ultralytics.nn.modules.block.SPPF]) torch.serialization.add_safe_globals([torch.nn.modules.pooling.MaxPool2d]) torch.serialization.add_safe_globals([torch.nn.modules.upsampling.Upsample]) torch.serialization.add_safe_globals([ultralytics.nn.modules.conv.Concat]) torch.serialization.add_safe_globals([ultralytics.nn.modules.head.Segment]) torch.serialization.add_safe_globals([ultralytics.nn.modules.block.DFL]) torch.serialization.add_safe_globals([ultralytics.nn.modules.block.Proto]) torch.serialization.add_safe_globals([torch.nn.modules.conv.ConvTranspose2d]) torch.serialization.add_safe_globals([getattr]) torch.serialization.add_safe_globals([ultralytics.nn.modules.head.Detect]) torch.serialization.add_safe_globals([ultralytics.yolo.utils.IterableSimpleNamespace]) IMAGE_PATH = 'input.png' DEVICE = 'cpu' model = FastSAM('weights/FastSAM-x.pt') everything_results = model(IMAGE_PATH, device=DEVICE, retina_masks=True, imgsz=1024, conf=0.4, iou=0.9,) prompt_process = FastSAMPrompt(IMAGE_PATH, everything_results, device=DEVICE) ann = prompt_process.everything_prompt() prompt_process.plot(annotations=ann,output_path='output.jpg',)Reacted by Oktopus174, Blur, Vladislav Antipov, Lưu Nam Đạt and ETing030
error occurs when using inference demo
Traceback (most recent call last):
File "/FastSAM/Inference.py", line 122, in
main(args)
File "/FastSAM/Inference.py", line 76, in main
model = FastSAM(args.model_path)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/FastSAM/ultralytics/yolo/engine/model.py", line 107, in init
self._load(model, task)
File "/FastSAM/ultralytics/yolo/engine/model.py", line 156, in _load
self.model, self.ckpt = attempt_load_one_weight(weights)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/FastSAM/ultralytics/nn/tasks.py", line 578, in attempt_load_one_weight
ckpt, weight = torch_safe_load(weight) # load ckpt
^^^^^^^^^^^^^^^^^^^^^^^
File "/FastSAM/ultralytics/nn/tasks.py", line 518, in torch_safe_load
return torch.load(file, map_location='cpu'), file # load
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "**********************/lib/python3.11/site-packages/torch/serialization.py", line 1524, in load
raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) In PyTorch 2.6, we changed the default value of the
weights_onlyargument intorch.loadfromFalsetoTrue. Re-runningtorch.loadwithweights_onlyset toFalsewill likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.(2) Alternatively, to load with
weights_only=Trueplease check the recommended steps in the following error message.WeightsUnpickler error: Unsupported global: GLOBAL ultralytics.nn.tasks.SegmentationModel was not an allowed global by default. Please use
torch.serialization.add_safe_globals([ultralytics.nn.tasks.SegmentationModel])or thetorch.serialization.safe_globals([ultralytics.nn.tasks.SegmentationModel])context manager to allowlist this global if you trust this class/function.Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
Even if using argument as 'weights_only=False' when load checkpoint cannot resolve this problem