lora-scripts ERROR Training failed / 训练失败

[yibuxiaoxi]

                         D:/lorabushu/lora-scripts/sd-models/DXLRonghua_v20.safetensors
                INFO     UNet2DConditionModel: 64, 8, 768, False, False                        original_unet.py:1387

Traceback (most recent call last): File "D:\lorabushu\lora-scripts\sd-scripts\train_network.py", line 1063, in trainer.train(args) File "D:\lorabushu\lora-scripts\sd-scripts\train_network.py", line 235, in train model_version, text_encoder, vae, unet = self.load_target_model(args, weight_dtype, accelerator) File "D:\lorabushu\lora-scripts\sd-scripts\train_network.py", line 103, in load_target_model text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator) File "D:\lorabushu\lora-scripts\sd-scripts\library\train_util.py", line 4173, in load_target_model text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model( File "D:\lorabushu\lora-scripts\sd-scripts\library\train_util.py", line 4127, in _load_target_model text_encoder, vae, unet = model_util.load_models_from_stable_diffusion_checkpoint( File "D:\lorabushu\lora-scripts\sd-scripts\library\model_util.py", line 1008, in load_models_from_stable_diffusion_checkpoint info = unet.load_state_dict(converted_unet_checkpoint) File "D:\lorabushu\lora-scripts\venv\lib\site-packages\torch\nn\modules\module.py", line 2153, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNet2DConditionModel: Missing key(s) in state_dict: "down_blocks.0.attentions.0.norm.weight", "down_blocks.0.attentions.0.norm.bias", "down_blocks.0.attentions.0.proj_in.weight", "down_blocks.0.attentions.0.proj_in.bias", "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight", "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight", "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight", "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight", "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.bias", "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight", "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.bias", 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"up_blocks.3.resnets.1.norm2.weight", "up_blocks.3.resnets.1.norm2.bias", "up_blocks.3.resnets.1.conv2.weight", "up_blocks.3.resnets.1.conv2.bias", "up_blocks.3.resnets.1.conv_shortcut.weight", "up_blocks.3.resnets.1.conv_shortcut.bias", "up_blocks.3.resnets.2.norm1.weight", "up_blocks.3.resnets.2.norm1.bias", "up_blocks.3.resnets.2.conv1.weight", "up_blocks.3.resnets.2.conv1.bias", "up_blocks.3.resnets.2.time_emb_proj.weight", "up_blocks.3.resnets.2.time_emb_proj.bias", "up_blocks.3.resnets.2.norm2.weight", "up_blocks.3.resnets.2.norm2.bias", "up_blocks.3.resnets.2.conv2.weight", "up_blocks.3.resnets.2.conv2.bias", "up_blocks.3.resnets.2.conv_shortcut.weight", "up_blocks.3.resnets.2.conv_shortcut.bias". Unexpected key(s) in state_dict: "down_blocks.1.attentions.0.transformer_blocks.1.attn1.to_k.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn1.to_out.0.bias", "down_blocks.1.attentions.0.transformer_blocks.1.attn1.to_out.0.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn1.to_q.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn1.to_v.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn2.to_k.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn2.to_out.0.bias", "down_blocks.1.attentions.0.transformer_blocks.1.attn2.to_out.0.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn2.to_q.weight", "down_blocks.1.attentions.0.transformer_blocks.1.attn2.to_v.weight", "down_blocks.1.attentions.0.transformer_blocks.1.ff.net.0.proj.bias", "down_blocks.1.attentions.0.transformer_blocks.1.ff.net.0.proj.weight", "down_blocks.1.attentions.0.transformer_blocks.1.ff.net.2.bias", "down_blocks.1.attentions.0.transformer_blocks.1.ff.net.2.weight", "down_blocks.1.attentions.0.transformer_blocks.1.norm1.bias", "down_blocks.1.attentions.0.transformer_blocks.1.norm1.weight", "down_blocks.1.attentions.0.transformer_blocks.1.norm2.bias", "down_blocks.1.attentions.0.transformer_blocks.1.norm2.weight 02:25:39-741101 ERROR Training failed / 训练失败

[thangnn1010]

Hi, Have you solved it yet? Can you give me some suggestions? thanks.

[sunbaigui]

please try out the newest train-free, 10s inference version facechain-fact.