Does anybody got Fooocus working with QWEN?

[pmeems]

I downloaded this QWEN-based model: https://civitai.com/models/1841092/qwen-image-fp16-and-nunchaku
But when using it in Fooocus I get this error:

[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.
Traceback (most recent call last):
  File "F:\AI-Tools\Fooocus\Fooocus\modules\async_worker.py", line 1471, in worker
    handler(task)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\Fooocus\modules\async_worker.py", line 1160, in handler
    tasks, use_expansion, loras, current_progress = process_prompt(async_task, async_task.prompt, async_task.negative_prompt,
  File "F:\AI-Tools\Fooocus\Fooocus\modules\async_worker.py", line 661, in process_prompt
    pipeline.refresh_everything(refiner_model_name=async_task.refiner_model_name,
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\Fooocus\modules\default_pipeline.py", line 250, in refresh_everything
    refresh_base_model(base_model_name, vae_name)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\Fooocus\modules\default_pipeline.py", line 74, in refresh_base_model
    model_base = core.load_model(filename, vae_filename)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "F:\AI-Tools\Fooocus\Fooocus\modules\core.py", line 147, in load_model
    unet, clip, vae, vae_filename, clip_vision = load_checkpoint_guess_config(ckpt_filename, embedding_directory=path_embeddings,
  File "F:\AI-Tools\Fooocus\Fooocus\ldm_patched\modules\sd.py", line 449, in load_checkpoint_guess_config
    model_config = model_detection.model_config_from_unet(sd, "model.diffusion_model.", unet_dtype)
  File "F:\AI-Tools\Fooocus\Fooocus\ldm_patched\modules\model_detection.py", line 163, in model_config_from_unet
    unet_config = detect_unet_config(state_dict, unet_key_prefix, dtype)
  File "F:\AI-Tools\Fooocus\Fooocus\ldm_patched\modules\model_detection.py", line 49, in detect_unet_config
    model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]
KeyError: 'model.diffusion_model.input_blocks.0.0.weight'

When anyone else is using QWEN with Fooocus, it would be much appreciated if you could share your workflow.