最后一步python gradio_app.py报错了

(omost) PS D:\ai\Omost> python gradio_app.py D:\ai\Omost\lib_omost\pipeline.py:64: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). alphas_cumprod = torch.tensor(np.cumprod(alphas, axis=0), dtype=torch.float32) Unload to CPU: AutoencoderKL Unload to CPU: CLIPTextModel Unload to CPU: CLIPTextModel Unload to CPU: UNet2DConditionModel Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in <class 'transformers.utils.quantization_config.BitsAndBytesConfig'>. Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:03<00:00, 1.55s/it] WARNING:root:Some parameters are on the meta device device because they were offloaded to the cpu. Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. WARNING:accelerate.big_modeling:You shouldn't move a model that is dispatched using accelerate hooks. Traceback (most recent call last): File "D:\ai\Omost\gradio_app.py", line 87, in memory_management.unload_all_models(llm_model) File "D:\ai\Omost\lib_omost\memory_management.py", line 67, in unload_all_models return load_models_to_gpu([]) File "D:\ai\Omost\lib_omost\memory_management.py", line 42, in load_models_to_gpu m.to(cpu) File "C:\Users\lgkt\AppData\Roaming\Python\Python310\site-packages\accelerate\big_modeling.py", line 455, in wrapper raise RuntimeError("You can't move a model that has some modules offloaded to cpu or disk.") RuntimeError: You can't move a model that has some modules offloaded to cpu or disk.