runtime error

Exit code: 1. Reason: transformer_blocks.3.norm2.weight', 'transformer_blocks.15.attn.to_gate.weight', 'transformer_blocks.0.norm2.weight', 'text_fusion.refiner_blocks.0.attn.to_q.weight', 'transformer_blocks.17.attn.to_out.0.weight', 'transformer_blocks.15.ff.down.weight', 'transformer_blocks.20.attn.to_v.weight', 'transformer_blocks.24.attn.to_gate.weight', 'transformer_blocks.21.attn.norm_q.weight', 'text_fusion.layerwise_blocks.1.ff.gate.weight', 'transformer_blocks.0.norm1.weight', 'transformer_blocks.2.attn.norm_k.weight', 'transformer_blocks.23.ff.up.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Loading pipeline components...: 60%|██████ | 3/5 [00:01<00:00, 2.29it/s] Loading pipeline components...: 100%|██████████| 5/5 [00:02<00:00, 2.16it/s] Traceback (most recent call last): File "/app/app.py", line 43, in <module> pipe = pipe.to(DEVICE) ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/diffusers/pipelines/pipeline_utils.py", line 583, in to module.to(device, dtype) File "/usr/local/lib/python3.12/site-packages/diffusers/models/modeling_utils.py", line 1640, in to return super().to(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1383, in to return self._apply(convert) ^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/torch/nn/modules/module.py", line 933, in _apply module._apply(fn) File "/usr/local/lib/python3.12/site-packages/torch/nn/modules/module.py", line 964, in _apply param_applied = fn(param) ^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1376, in convert raise NotImplementedError( NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.

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