```CODE: 
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Owen777/UltraFlux-v1", dtype=torch.bfloat16, device_map="cuda")

prompt = " "
image = pipe(prompt).images[0]
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/Owen777_UltraFlux-v1_00vGduT.py", line 27, in <module>
    pipe = DiffusionPipeline.from_pretrained("Owen777/UltraFlux-v1", dtype=torch.bfloat16, device_map="cuda")
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, in from_pretrained
    loaded_sub_model = load_sub_model(
        library_name=library_name,
    ...<21 lines>...
        quantization_config=quantization_config,
    )
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model
    loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained
    ) = cls._load_pretrained_model(
        ~~~~~~~~~~~~~~~~~~~~~~~~~~^
        model,
        ^^^^^^
    ...<13 lines>...
        is_parallel_loading_enabled=is_parallel_loading_enabled,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model
    _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/.cache/uv/environments-v2/81c55485d0bc44db/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup
    _ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 3.64 GiB is free. Including non-PyTorch memory, this process has 18.38 GiB memory in use. Of the allocated memory 18.20 GiB is allocated by PyTorch, and 1.79 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)