The qwenimage pipeline is updated to address the following error by cloning
those tensors before use.

```
Traceback (most recent call last):
  File "/root/qwen/main.py", line 31, in <module>
    output = pipeline(**inputs)
             ^^^^^^^^^^^^^^^^^^
  File "/root/qwen/venv/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/root/qwen/venv/lib/python3.12/site-packages/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_plus.py", line 828, in
__call__
    comb_pred = neg_noise_pred + true_cfg_scale * (noise_pred - neg_noise_pred)
                                                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~
RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File
"/root/qwen/venv/lib/python3.12/site-packages/diffusers/models/transformers/transformer_qwenimage.py", line 664, in forward
    output = self.proj_out(hidden_states). To prevent overwriting, clone the tensor outside of torch.compile() or call
torch.compiler.cudagraph_mark_step_begin() before each model invocation.
main.py
from PIL import Image
```

…hao >v1.17