runtime error

█▍| 3.26G/3.44G [00:39<00:02, 74.7MB/s] Downloading (…)on_pytorch_model.bin: 95%|█████████▌| 3.28G/3.44G [00:39<00:02, 74.6MB/s] Downloading (…)on_pytorch_model.bin: 96%|█████████▌| 3.30G/3.44G [00:39<00:01, 86.3MB/s] Downloading (…)on_pytorch_model.bin: 96%|█████████▋| 3.31G/3.44G [00:39<00:01, 87.6MB/s] Downloading (…)on_pytorch_model.bin: 97%|█████████▋| 3.33G/3.44G [00:39<00:01, 90.9MB/s] Downloading (…)on_pytorch_model.bin: 98%|█████████▊| 3.36G/3.44G [00:40<00:00, 92.7MB/s] Downloading (…)on_pytorch_model.bin: 98%|█████████▊| 3.38G/3.44G [00:40<00:00, 95.0MB/s] Downloading (…)on_pytorch_model.bin: 99%|█████████▊| 3.39G/3.44G [00:40<00:00, 75.3MB/s] Downloading (…)on_pytorch_model.bin: 99%|█████████▉| 3.41G/3.44G [00:40<00:00, 73.4MB/s] Downloading (…)on_pytorch_model.bin: 100%|██████████| 3.44G/3.44G [00:41<00:00, 75.9MB/s] Downloading (…)on_pytorch_model.bin: 100%|██████████| 3.44G/3.44G [00:41<00:00, 83.2MB/s] /home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/diffusers/configuration_utils.py:134: FutureWarning: Accessing config attribute `prediction_type` directly via 'DDIMScheduler' object attribute is deprecated. Please access 'prediction_type' over 'DDIMScheduler's config object instead, e.g. 'scheduler.config.prediction_type'. deprecate("direct config name access", "1.0.0", deprecation_message, standard_warn=False) Create LoRA for Text Encoder: 72 modules. Create LoRA for U-Net: 256 modules. Traceback (most recent call last): File "app.py", line 116, in <module> base_model: LoRANetwork(text_encoder, unet) File "/home/user/app/modules/lora.py", line 127, in __init__ assert (lora.lora_name not in names), f"duplicated lora name: {lora.lora_name}" AssertionError: duplicated lora name: lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q

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