Error on using sam mask generation for inpainting

[ILikeToasters]

Generate mask from image fails with error on using sam model. Seems to be only when inpainting since enhance seems to work.

F:\Fooocus Mashbit\python_embeded\lib\site-packages\transformers\modeling_utils.py:884: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
Traceback (most recent call last):
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "F:\Fooocus Mashbit\Fooocus\webui.py", line 298, in generate_mask
    mask, _, _, _ = generate_mask_from_image(image, mask_model, extras, sam_options)
  File "F:\Fooocus Mashbit\Fooocus\extras\inpaint_mask.py", line 71, in generate_mask_from_image
    detections, boxes, logits, phrases = default_groundingdino(
  File "F:\Fooocus Mashbit\Fooocus\extras\GroundingDINO\util\inference.py", line 46, in predict_with_caption
    boxes, logits, phrases = predict(
  File "F:\Fooocus Mashbit\Fooocus\extras\GroundingDINO\util\inference.py", line 77, in predict
    outputs = model(image[None], captions=[caption])
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\groundingdino\models\GroundingDINO\groundingdino.py", line 263, in forward
    bert_output = self.bert(**tokenized_for_encoder)  # bs, 195, 768
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\groundingdino\models\GroundingDINO\bertwarper.py", line 141, in forward
    encoder_outputs = self.encoder(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\transformers\models\bert\modeling_bert.py", line 610, in forward
    layer_outputs = layer_module(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\transformers\models\bert\modeling_bert.py", line 495, in forward
    self_attention_outputs = self.attention(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\transformers\models\bert\modeling_bert.py", line 425, in forward
    self_outputs = self.self(
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\transformers\models\bert\modeling_bert.py", line 284, in forward
    mixed_query_layer = self.query(hidden_states)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "F:\Fooocus Mashbit\python_embeded\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
    return F.linear(input, self.weight, self.bias)
RuntimeError: Inference tensors do not track version counter.

[mashb1t]

=> lllyasviel#3213 (reply in thread), fix on Saturday (tomorrow)