runtime error

Exit code: 1. Reason: 2G [00:40<00:03, 214MB/s] transformer/diffusion_pytorch_model-0000(…): 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 8.18G/8.72G [00:41<00:02, 215MB/s] transformer/diffusion_pytorch_model-0000(…): 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 8.45G/8.72G [00:42<00:01, 214MB/s] transformer/diffusion_pytorch_model-0000(…): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 8.72G/8.72G [00:43<00:00, 220MB/s] transformer/diffusion_pytorch_model-0000(…): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 8.72G/8.72G [00:43<00:00, 199MB/s] Traceback (most recent call last): File "/app/app.py", line 38, in <module> transformer=WanTransformer3DModel.from_pretrained('cbensimon/Wan2.2-I2V-A14B-bf16-Diffusers', File "/root/.pyenv/versions/3.10.19/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/root/.pyenv/versions/3.10.19/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained ) = cls._load_pretrained_model( File "/root/.pyenv/versions/3.10.19/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer) File "/root/.pyenv/versions/3.10.19/lib/python3.10/site-packages/diffusers/models/model_loading_utils.py", line 748, in _caching_allocator_warmup _ = torch.empty(byte_count // factor, dtype=dtype, device=device, requires_grad=False) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 26.62 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.84 GiB is free. Including non-PyTorch memory, this process has 186.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes 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)

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