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Description
Describe the bug
QwenImageTransformer2DModel.from_single_file requires the following arguments:
QwenImageTransformer2DModel.from_single_file(
  local_safetensors_file,
  config="Qwen/Qwen-Image",
  subfolder="transformer",
  torch_dtype = torch.bfloat16
)
if config and subfolder are not provided, it tries to load a SD15 configuration - see log below.
I cannot find specific documentation so this might also be expected behaviour - but it is different from the Flux and Chroma transformers. There a filename is enough.
Reproduction
see above
Logs
transformer = QwenImageTransformer2DModel.from_single_file(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/OneTrainer/venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/workspace/OneTrainer/venv/src/diffusers/src/diffusers/loaders/single_file_model.py", line 383, in from_single_file
    diffusers_model_config = cls.load_config(
                             ^^^^^^^^^^^^^^^^
  File "/workspace/OneTrainer/venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/workspace/OneTrainer/venv/src/diffusers/src/diffusers/configuration_utils.py", line 419, in load_config
    raise EnvironmentError(
OSError: stable-diffusion-v1-5/stable-diffusion-v1-5 does not appear to have a file named config.json.System Info
https://github.com/huggingface/diffusers.git@9b721db
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