```CODE: 
import torch
from diffusers import DiffusionPipeline

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

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/Qwen_Qwen-Image_0uZLqPT.py", line 27, in <module>
    pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/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-v2/29dc976ff856b6da/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-v2/29dc976ff856b6da/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/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-v2/29dc976ff856b6da/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-v2/29dc976ff856b6da/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 38.05 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)