runtime error

Exit code: 1. Reason: Cargando modelo... (Usando hf_transfer para mรกxima velocidad) Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. model_index.json: 0%| | 0.00/81.0 [00:00<?, ?B/s] model_index.json: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 81.0/81.0 [00:00<00:00, 406kB/s] Keyword arguments {'dtype': torch.bfloat16} are not expected by Flux2KleinPipeline and will be ignored. Loading pipeline components...: 0it [00:00, ?it/s] Loading pipeline components...: 0it [00:00, ?it/s] Traceback (most recent call last): File "/app/app.py", line 23, in <module> pipe = DiffusionPipeline.from_pretrained( model_id, dtype=torch.bfloat16, device_map="auto" if not USING_SPACES else None ) File "/usr/local/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1110, in from_pretrained raise ValueError( f"Pipeline {pipeline_class} expected {expected_modules}, but only {passed_modules} were passed." ) ValueError: Pipeline <class 'diffusers.pipelines.flux2.pipeline_flux2_klein.Flux2KleinPipeline'> expected ['scheduler', 'text_encoder', 'tokenizer', 'transformer', 'vae'], but only set() were passed.

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