Upload lightx2v_Qwen-Image-Lightning_0.txt with huggingface_hub

lightx2v_Qwen-Image-Lightning_0.txt

@@ -12,7 +12,7 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/lightx2v_Qwen-Image-Lightning_01EbbDb.py", line 27, in <module>
+  File "/tmp/lightx2v_Qwen-Image-Lightning_0YNfHuX.py", line 27, in <module>
     pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
   File "/tmp/.cache/uv/environments-v2/0af75e0924c95b1f/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
@@ -50,4 +50,4 @@ Traceback (most recent call last):
   File "/tmp/.cache/uv/environments-v2/0af75e0924c95b1f/lib/python3.13/site-packages/transformers/modeling_utils.py", line 770, in _load_state_dict_into_meta_model
     _load_parameter_into_model(model, param_name, param.to(param_device))
                                                   ~~~~~~~~^^^^^^^^^^^^^^
-torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 260.00 MiB. GPU 0 has a total capacity of 22.03 GiB of which 183.12 MiB is free. Including non-PyTorch memory, this process has 21.85 GiB memory in use. Of the allocated memory 21.56 GiB is allocated by PyTorch, and 112.29 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 260.00 MiB. GPU 0 has a total capacity of 22.03 GiB of which 33.12 MiB is free. Including non-PyTorch memory, this process has 21.99 GiB memory in use. Of the allocated memory 21.79 GiB is allocated by PyTorch, and 23.18 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)