Conversion Error on DreamBooth

[esdrico]

Hello, i'm trying to train over NAI model on Dreambooth, but i am getting this error message:

2022-10-27 16:39:11 (37.0 MB/s) - ‘v1-inference.yaml’ saved [1873/1873]

Downloading: 100% 4.52k/4.52k [00:00<00:00, 3.84MB/s] Downloading: 100% 1.71G/1.71G [00:24<00:00, 69.1MB/s] Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.2.self_attn.k_proj.weight', 'vision_model.encoder.layers.9.self_attn.q_proj.weight', 'vision_model.encoder.layers.7.layer_norm1.bias', 'vision_model.encoder.layers.16.self_attn.q_proj.bias', 'vision_model.encoder.layers.8.layer_norm2.weight', 'vision_model.encoder.layers.0.layer_norm2.weight', 'vision_model.encoder.layers.11.layer_norm1.weight', 'vision_model.encoder.layers.20.layer_norm2.bias', 'vision_model.encoder.layers.5.self_attn.out_proj.weight', 'vision_model.encoder.layers.10.self_attn.k_proj.weight', 'vision_model.pre_layrnorm.weight', 'vision_model.encoder.layers.1.mlp.fc2.weight', 'vision_model.encoder.layers.2.layer_norm2.weight', 'vision_model.encoder.layers.10.mlp.fc1.bias', 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'vision_model.encoder.layers.14.self_attn.v_proj.bias', 'vision_model.encoder.layers.18.self_attn.k_proj.weight', 'vision_model.encoder.layers.2.self_attn.v_proj.bias', 'vision_model.encoder.layers.22.mlp.fc1.bias', 'vision_model.encoder.layers.11.mlp.fc2.weight', 'vision_model.encoder.layers.2.self_attn.k_proj.bias', 'vision_model.encoder.layers.1.layer_norm2.bias', 'vision_model.encoder.layers.1.mlp.fc2.bias', 'vision_model.encoder.layers.17.mlp.fc1.bias', 'vision_model.encoder.layers.10.mlp.fc2.bias', 'vision_model.encoder.layers.8.mlp.fc2.bias', 'vision_model.encoder.layers.14.layer_norm1.weight', 'vision_model.encoder.layers.3.self_attn.out_proj.weight', 'vision_model.encoder.layers.18.mlp.fc2.weight', 'vision_model.embeddings.class_embedding']

• This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Traceback (most recent call last): File "/content/convert_original_stable_diffusion_to_diffusers.py", line 719, in text_model = convert_ldm_clip_checkpoint(checkpoint) File "/content/convert_original_stable_diffusion_to_diffusers.py", line 628, in convert_ldm_clip_checkpoint text_model.load_state_dict(text_model_dict) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1605, in load_state_dict self.class.name, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for CLIPTextModel: Missing key(s) in state_dict: "text_model.embeddings.position_ids", "text_model.embeddings.token_embedding.weight", "text_model.embeddings.position_embedding.weight", "text_model.encoder.layers.0.self_attn.k_proj.weight", "text_model.encoder.layers.0.self_attn.k_proj.bias", "text_model.encoder.layers.0.self_attn.v_proj.weight", "text_model.encoder.layers.0.self_attn.v_proj.bias", "text_model.encoder.layers.0.self_attn.q_proj.weight", "text_model.encoder.layers.0.self_attn.q_proj.bias", "text_model.encoder.layers.0.self_attn.out_proj.weight", "text_model.encoder.layers.0.self_attn.out_proj.bias", "text_model.encoder.layers.0.layer_norm1.weight", "text_model.encoder.layers.0.layer_norm1.bias", "text_model.encoder.layers.0.mlp.fc1.weight", "text_model.encoder.layers.0.mlp.fc1.bias", "text_model.encoder.layers.0.mlp.fc2.weight", "text_model.encoder.layers.0.mlp.fc2.bias", "text_model.encoder.layers.0.layer_norm2.weight", "text_model.encoder.layers.0.layer_norm2.bias", "text_model.encoder.layers.1.self_attn.k_proj.weight", "text_model.encoder.layers.1.self_attn.k_proj.bias", "text_model.encoder.layers.1.self_attn.v_proj.weight", "text_model.encoder.layers.1.self_attn.v_proj.bias", "text_model.encoder.layers.1.self_attn.q_proj.weight", "text_model.encoder.layers.1.self_attn.q_proj.bias", "text_model.encoder.layers.1.self_attn.out_proj.weight", "text_model.encoder.layers.1.self_attn.out_proj.bias", "text_model.encoder.layers.1.layer_norm1.weight", "text_model.encoder.layers.1.layer_norm1.bias", "text_model.encoder.layers.1.mlp.fc1.weight", "text_model.encoder.layers.1.mlp.fc1.bias", "text_model.encoder.layers.1.mlp.fc2.weight", "text_model.encoder.layers.1.mlp.fc2.bias", "text_model.encoder.layers.1.layer_norm2.weight", "text_model.encoder.layers.1.layer_norm2.bias", "text_model.encoder.layers.2.self_attn.k_proj.weight", "text_model.encoder.layers.2.self_attn.k_proj.bias", "text_model.encoder.layers.2.self_attn.v_proj.weight", "text_model.encoder.layers.2.self_attn.v_proj.bias", "text_model.encoder.layers.2.self_attn.q_proj.weight", "text_model.encoder.layers.2.self_attn.q_proj.bias", "text_model.encoder.layers.2.self_attn.out_proj.weight", "text_model.encoder.layers.2.self_attn.out_proj.bias", "text_model.encoder.layers.2.layer_norm1.weight", "text_model.encoder.layers.2.layer_norm1.bias", "text_model.encoder.layers.2.mlp.fc1.weight", "text_model.encoder.layers.2.mlp.fc1.bias", "text_model.encoder.layers.2.mlp.fc2.weight", "text_model.encoder.layers.2.mlp.fc2.bias", "text_model.encoder.layers.2.layer_norm2.weight", "text_model.encoder.layers.2.layer_norm2.bias", "text_model.encoder.layers.3.self_attn.k_proj.weight", "text_model.encoder.layers.3.self_attn.k_proj.bias", "text_model.encoder.layers.3.self_attn.v_proj.weight", "text_model.encoder.layers.3.self_attn.v_proj.bias", "text_model.encoder.layers.3.self_attn.q_proj.weight", "text_model.encoder.layers.3.self_attn.q_proj.bias", "text_model.encoder.layers.3.self_attn.out_proj.weight", "text_model.encoder.layers.3.self_attn.out_proj.bias", "text_model.encoder.layers.3.layer_norm1.weight", "text_model.encoder.layers.3.layer_norm1.bias", "text_model.encoder.layers.3.mlp.fc1.weight", "text_model.encoder.layers.3.mlp.fc1.bias", "text_model.encoder.layers.3.mlp.fc2.weight", "text_model.encoder.layers.3.mlp.fc2.bias", "text_model.encoder.layers.3.layer_norm2.weight", "text_model.encoder.layers.3.layer_norm2.bias", "text_model.encoder.layers.4.self_attn.k_proj.weight", "text_model.encoder.layers.4.self_attn.k_proj.bias", "text_model.encoder.layers.4.self_attn.v_proj.weight", "text_model.encoder.layers.4.self_attn.v_proj.bias", "text_model.encoder.layers.4.self_attn.q_proj.weight", "text_model.encoder.layers.4.self_attn.q_proj.bias", "text_model.encoder.layers.4.self_attn.out_proj.weight", "text_model.encoder.layers.4.self_attn.out_proj.bias", "text_model.encoder.layers.4.layer_norm1.weight", "text_model.encoder.layers.4.layer_norm1.bias", "text_model.encoder.layers.4.mlp.fc1.weight", "text_model.encoder.layers.4.mlp.fc1.bias", "text_model.encoder.layers.4.mlp.fc2.weight", "text_model.encoder.layers.4.mlp.fc2.bias", "text_model.encoder.layers.4.layer_norm2.weight", "text_model.encoder.layers.4.layer_norm2.bias", "text_model.encoder.layers.5.self_attn.k_proj.weight", "text_model.encoder.layers.5.self_attn.k_proj.bias", "text_model.encoder.layers.5.self_attn.v_proj.weight", "text_model.encoder.layers.5.self_attn.v_proj.bias", "text_model.encoder.layers.5.self_attn.q_proj.weight", "text_model.encoder.layers.5.self_attn.q_proj.bias", "text_model.encoder.layers.5.self_attn.out_proj.weight", "text_model.encoder.layers.5.self_attn.out_proj.bias", "text_model.encoder.layers.5.layer_norm1.weight", "text_model.encoder.layers.5.layer_norm1.bias", "text_model.encoder.layers.5.mlp.fc1.weight", "text_model.encoder.layers.5.mlp.fc1.bias", "text_model.encoder.layers.5.mlp.fc2.weight", "text_model.encoder.layers.5.mlp.fc2.bias", "text_model.encoder.layers.5.layer_norm2.weight", "text_model.encoder.layers.5.layer_norm2.bias", "text_model.encoder.layers.6.self_attn.k_proj.weight", "text_model.encoder.layers.6.self_attn.k_proj.bias", "text_model.encoder.layers.6.self_attn.v_proj.weight", "text_model.encoder.layers.6.self_attn.v_proj.bias", "text_model.encoder.layers.6.self_attn.q_proj.weight", "text_model.encoder.layers.6.self_attn.q_proj.bias", "text_model.encoder.layers.6.self_attn.out_proj.weight", "text_model.encoder.layers.6.self_attn.out_proj.bias", "text_model.encoder.layers.6.layer_norm1.weight", "text_model.encoder.layers.6.layer_norm1.bias", "text_model.encoder.layers.6.mlp.fc1.weight", "text_model.encoder.layers.6.mlp.fc1.bias", "text_model.encoder.layers.6.mlp.fc2.weight", "text_model.encoder.layers.6.mlp.fc2.bias", "text_model.encoder.layers.6.layer_norm2.weight", "text_model.encoder.layers.6.layer_norm2.bias", "text_model.encoder.layers.7.self_attn.k_proj.weight", "text_model.encoder.layers.7.self_attn.k_proj.bias", "text_model.encoder.layers.7.self_attn.v_proj.weight", "text_model.encoder.layers.7.self_attn.v_proj.bias", "text_model.encoder.layers.7.self_attn.q_proj.weight", "text_model.encoder.layers.7.self_attn.q_proj.bias", "text_model.encoder.layers.7.self_attn.out_proj.weight", "text_model.encoder.layers.7.self_attn.out_proj.bias", "text_model.encoder.layers.7.layer_norm1.weight", "text_model.encoder.layers.7.layer_norm1.bias", "text_model.encoder.layers.7.mlp.fc1.weight", "text_model.encoder.layers.7.mlp.fc1.bias", "text_model.encoder.layers.7.mlp.fc2.weight", "text_model.encoder.layers.7.mlp.fc2.bias", "text_model.encoder.layers.7.layer_norm2.weight", "text_model.encoder.layers.7.layer_norm2.bias", "text_model.encoder.layers.8.self_attn.k_proj.weight", "text_model.encoder.layers.8.self_attn.k_proj.bias", "text_model.encoder.layers.8.self_attn.v_proj.weight", "text_model.encoder.layers.8.self_attn.v_proj.bias", "text_model.encoder.layers.8.self_attn.q_proj.weight", "text_model.encoder.layers.8.self_attn.q_proj.bias", "text_model.encoder.layers.8.self_attn.out_proj.weight", "text_model.encoder.layers.8.self_attn.out_proj.bias", "text_model.encoder.layers.8.layer_norm1.weight", "text_model.encoder.layers.8.layer_norm1.bias", "text_model.encoder.layers.8.mlp.fc1.weight", "text_model.encoder.layers.8.mlp.fc1.bias", "text_model.encoder.layers.8.mlp.fc2.weight", "text_model.encoder.layers.8.mlp.fc2.bias", "text_model.encoder.layers.8.layer_norm2.weight", "text_model.encoder.layers.8.layer_norm2.bias", "text_model.encoder.layers.9.self_attn.k_proj.weight", "text_model.encoder.layers.9.self_attn.k_proj.bias", "text_model.encoder.layers.9.self_attn.v_proj.weight", "text_model.encoder.layers.9.self_attn.v_proj.bias", "text_model.encoder.layers.9.self_attn.q_proj.weight", "text_model.encoder.layers.9.self_attn.q_proj.bias", "text_model.encoder.layers.9.self_attn.out_proj.weight", "text_model.encoder.layers.9.self_attn.out_proj.bias", "text_model.encoder.layers.9.layer_norm1.weight", "text_model.encoder.layers.9.layer_norm1.bias", "text_model.encoder.layers.9.mlp.fc1.weight", "text_model.encoder.layers.9.mlp.fc1.bias", "text_model.encoder.layers.9.mlp.fc2.weight", "text_model.encoder.layers.9.mlp.fc2.bias", "text_model.encoder.layers.9.layer_norm2.weight", "text_model.encoder.layers.9.layer_norm2.bias", "text_model.encoder.layers.10.self_attn.k_proj.weight", "text_model.encoder.layers.10.self_attn.k_proj.bias", "text_model.encoder.layers.10.self_attn.v_proj.weight", "text_model.encoder.layers.10.self_attn.v_proj.bias", "text_model.encoder.layers.10.self_attn.q_proj.weight", "text_model.encoder.layers.10.self_attn.q_proj.bias", "text_model.encoder.layers.10.self_attn.out_proj.weight", "text_model.encoder.layers.10.self_attn.out_proj.bias", "text_model.encoder.layers.10.layer_norm1.weight", "text_model.encoder.layers.10.layer_norm1.bias", "text_model.encoder.layers.10.mlp.fc1.weight", "text_model.encoder.layers.10.mlp.fc1.bias", "text_model.encoder.layers.10.mlp.fc2.weight", "text_model.encoder.layers.10.mlp.fc2.bias", "text_model.encoder.layers.10.layer_norm2.weight", "text_model.encoder.layers.10.layer_norm2.bias", "text_model.encoder.layers.11.self_attn.k_proj.weight", "text_model.encoder.layers.11.self_attn.k_proj.bias", "text_model.encoder.layers.11.self_attn.v_proj.weight", "text_model.encoder.layers.11.self_attn.v_proj.bias", "text_model.encoder.layers.11.self_attn.q_proj.weight", "text_model.encoder.layers.11.self_attn.q_proj.bias", "text_model.encoder.layers.11.self_attn.out_proj.weight", "text_model.encoder.layers.11.self_attn.out_proj.bias", "text_model.encoder.layers.11.layer_norm1.weight", "text_model.encoder.layers.11.layer_norm1.bias", "text_model.encoder.layers.11.mlp.fc1.weight", "text_model.encoder.layers.11.mlp.fc1.bias", "text_model.encoder.layers.11.mlp.fc2.weight", "text_model.encoder.layers.11.mlp.fc2.bias", "text_model.encoder.layers.11.layer_norm2.weight", "text_model.encoder.layers.11.layer_norm2.bias", "text_model.final_layer_norm.weight", "text_model.final_layer_norm.bias". Unexpected key(s) in state_dict: "embeddings.position_ids", "embeddings.token_embedding.weight", "embeddings.position_embedding.weight", "encoder.layers.0.self_attn.k_proj.weight", "encoder.layers.0.self_attn.k_proj.bias", "encoder.layers.0.self_attn.v_proj.weight", "encoder.layers.0.self_attn.v_proj.bias", "encoder.layers.0.self_attn.q_proj.weight", "encoder.layers.0.self_attn.q_proj.bias", "encoder.layers.0.self_attn.out_proj.weight", "encoder.layers.0.self_attn.out_proj.bias", "encoder.layers.0.layer_norm1.weight", "encoder.layers.0.layer_norm1.bias", "encoder.layers.0.mlp.fc1.weight", "encoder.layers.0.mlp.fc1.bias", "encoder.layers.0.mlp.fc2.weight", "encoder.layers.0.mlp.fc2.bias", "encoder.layers.0.layer_norm2.weight", "encoder.layers.0.layer_norm2.bias", "encoder.layers.1.self_attn.k_proj.weight", "encoder.layers.1.self_attn.k_proj.bias", "encoder.layers.1.self_attn.v_proj.weight", "encoder.layers.1.self_attn.v_proj.bias", "encoder.layers.1.self_attn.q_proj.weight", "encoder.layers.1.self_attn.q_proj.bias", "encoder.layers.1.self_attn.out_proj.weight", "encoder.layers.1.self_attn.out_proj.bias", "encoder.layers.1.layer_norm1.weight", "encoder.layers.1.layer_norm1.bias", "encoder.layers.1.mlp.fc1.weight", "encoder.layers.1.mlp.fc1.bias", "encoder.layers.1.mlp.fc2.weight", "encoder.layers.1.mlp.fc2.bias", "encoder.layers.1.layer_norm2.weight", "encoder.layers.1.layer_norm2.bias", "encoder.layers.2.self_attn.k_proj.weight", "encoder.layers.2.self_attn.k_proj.bias", "encoder.layers.2.self_attn.v_proj.weight", "encoder.layers.2.self_attn.v_proj.bias", "encoder.layers.2.self_attn.q_proj.weight", "encoder.layers.2.self_attn.q_proj.bias", "encoder.layers.2.self_attn.out_proj.weight", "encoder.layers.2.self_attn.out_proj.bias", "encoder.layers.2.layer_norm1.weight", "encoder.layers.2.layer_norm1.bias", "encoder.layers.2.mlp.fc1.weight", "encoder.layers.2.mlp.fc1.bias", "encoder.layers.2.mlp.fc2.weight", "encoder.layers.2.mlp.fc2.bias", "encoder.layers.2.layer_norm2.weight", "encoder.layers.2.layer_norm2.bias", "encoder.layers.3.self_attn.k_proj.weight", "encoder.layers.3.self_attn.k_proj.bias", "encoder.layers.3.self_attn.v_proj.weight", "encoder.layers.3.self_attn.v_proj.bias", "encoder.layers.3.self_attn.q_proj.weight", "encoder.layers.3.self_attn.q_proj.bias", "encoder.layers.3.self_attn.out_proj.weight", "encoder.layers.3.self_attn.out_proj.bias", "encoder.layers.3.layer_norm1.weight", "encoder.layers.3.layer_norm1.bias", "encoder.layers.3.mlp.fc1.weight", "encoder.layers.3.mlp.fc1.bias", "encoder.layers.3.mlp.fc2.weight", "encoder.layers.3.mlp.fc2.bias", "encoder.layers.3.layer_norm2.weight", "encoder.layers.3.layer_norm2.bias", "encoder.layers.4.self_attn.k_proj.weight", "encoder.layers.4.self_attn.k_proj.bias", "encoder.layers.4.self_attn.v_proj.weight", "encoder.layers.4.self_attn.v_proj.bias", "encoder.layers.4.self_attn.q_proj.weight", "encoder.layers.4.self_attn.q_proj.bias", "encoder.layers.4.self_attn.out_proj.weight", "encoder.layers.4.self_attn.out_proj.bias", "encoder.layers.4.layer_norm1.weight", "encoder.layers.4.layer_norm1.bias", "encoder.layers.4.mlp.fc1.weight", "encoder.layers.4.mlp.fc1.bias", "encoder.layers.4.mlp.fc2.weight", "encoder.layers.4.mlp.fc2.bias", "encoder.layers.4.layer_norm2.weight", "encoder.layers.4.layer_norm2.bias", "encoder.layers.5.self_attn.k_proj.weight", "encoder.layers.5.self_attn.k_proj.bias", "encoder.layers.5.self_attn.v_proj.weight", "encoder.layers.5.self_attn.v_proj.bias", "encoder.layers.5.self_attn.q_proj.weight", "encoder.layers.5.self_attn.q_proj.bias", "encoder.layers.5.self_attn.out_proj.weight", "encoder.layers.5.self_attn.out_proj.bias", "encoder.layers.5.layer_norm1.weight", "encoder.layers.5.layer_norm1.bias", "encoder.layers.5.mlp.fc1.weight", "encoder.layers.5.mlp.fc1.bias", "encoder.layers.5.mlp.fc2.weight", "encoder.layers.5.mlp.fc2.bias", "encoder.layers.5.layer_norm2.weight", "encoder.layers.5.layer_norm2.bias", "encoder.layers.6.self_attn.k_proj.weight", "encoder.layers.6.self_attn.k_proj.bias", "encoder.layers.6.self_attn.v_proj.weight", "encoder.layers.6.self_attn.v_proj.bias", "encoder.layers.6.self_attn.q_proj.weight", "encoder.layers.6.self_attn.q_proj.bias", "encoder.layers.6.self_attn.out_proj.weight", "encoder.layers.6.self_attn.out_proj.bias", "encoder.layers.6.layer_norm1.weight", "encoder.layers.6.layer_norm1.bias", "encoder.layers.6.mlp.fc1.weight", "encoder.layers.6.mlp.fc1.bias", "encoder.layers.6.mlp.fc2.weight", "encoder.layers.6.mlp.fc2.bias", "encoder.layers.6.layer_norm2.weight", "encoder.layers.6.layer_norm2.bias", "encoder.layers.7.self_attn.k_proj.weight", "encoder.layers.7.self_attn.k_proj.bias", "encoder.layers.7.self_attn.v_proj.weight", "encoder.layers.7.self_attn.v_proj.bias", "encoder.layers.7.self_attn.q_proj.weight", "encoder.layers.7.self_attn.q_proj.bias", "encoder.layers.7.self_attn.out_proj.weight", "encoder.layers.7.self_attn.out_proj.bias", "encoder.layers.7.layer_norm1.weight", "encoder.layers.7.layer_norm1.bias", "encoder.layers.7.mlp.fc1.weight", "encoder.layers.7.mlp.fc1.bias", "encoder.layers.7.mlp.fc2.weight", "encoder.layers.7.mlp.fc2.bias", "encoder.layers.7.layer_norm2.weight", "encoder.layers.7.layer_norm2.bias", "encoder.layers.8.self_attn.k_proj.weight", "encoder.layers.8.self_attn.k_proj.bias", "encoder.layers.8.self_attn.v_proj.weight", "encoder.layers.8.self_attn.v_proj.bias", "encoder.layers.8.self_attn.q_proj.weight", "encoder.layers.8.self_attn.q_proj.bias", "encoder.layers.8.self_attn.out_proj.weight", "encoder.layers.8.self_attn.out_proj.bias", "encoder.layers.8.layer_norm1.weight", "encoder.layers.8.layer_norm1.bias", "encoder.layers.8.mlp.fc1.weight", "encoder.layers.8.mlp.fc1.bias", "encoder.layers.8.mlp.fc2.weight", "encoder.layers.8.mlp.fc2.bias", "encoder.layers.8.layer_norm2.weight", "encoder.layers.8.layer_norm2.bias", "encoder.layers.9.self_attn.k_proj.weight", "encoder.layers.9.self_attn.k_proj.bias", "encoder.layers.9.self_attn.v_proj.weight", "encoder.layers.9.self_attn.v_proj.bias", "encoder.layers.9.self_attn.q_proj.weight", "encoder.layers.9.self_attn.q_proj.bias", "encoder.layers.9.self_attn.out_proj.weight", "encoder.layers.9.self_attn.out_proj.bias", "encoder.layers.9.layer_norm1.weight", "encoder.layers.9.layer_norm1.bias", "encoder.layers.9.mlp.fc1.weight", "encoder.layers.9.mlp.fc1.bias", "encoder.layers.9.mlp.fc2.weight", "encoder.layers.9.mlp.fc2.bias", "encoder.layers.9.layer_norm2.weight", "encoder.layers.9.layer_norm2.bias", "encoder.layers.10.self_attn.k_proj.weight", "encoder.layers.10.self_attn.k_proj.bias", "encoder.layers.10.self_attn.v_proj.weight", "encoder.layers.10.self_attn.v_proj.bias", "encoder.layers.10.self_attn.q_proj.weight", "encoder.layers.10.self_attn.q_proj.bias", "encoder.layers.10.self_attn.out_proj.weight", "encoder.layers.10.self_attn.out_proj.bias", "encoder.layers.10.layer_norm1.weight", "encoder.layers.10.layer_norm1.bias", "encoder.layers.10.mlp.fc1.weight", "encoder.layers.10.mlp.fc1.bias", "encoder.layers.10.mlp.fc2.weight", "encoder.layers.10.mlp.fc2.bias", "encoder.layers.10.layer_norm2.weight", "encoder.layers.10.layer_norm2.bias", "encoder.layers.11.self_attn.k_proj.weight", "encoder.layers.11.self_attn.k_proj.bias", "encoder.layers.11.self_attn.v_proj.weight", "encoder.layers.11.self_attn.v_proj.bias", "encoder.layers.11.self_attn.q_proj.weight", "encoder.layers.11.self_attn.q_proj.bias", "encoder.layers.11.self_attn.out_proj.weight", "encoder.layers.11.self_attn.out_proj.bias", "encoder.layers.11.layer_norm1.weight", "encoder.layers.11.layer_norm1.bias", "encoder.layers.11.mlp.fc1.weight", "encoder.layers.11.mlp.fc1.bias", "encoder.layers.11.mlp.fc2.weight", "encoder.layers.11.mlp.fc2.bias", "encoder.layers.11.layer_norm2.weight", "encoder.layers.11.layer_norm2.bias", "final_layer_norm.weight", "final_layer_norm.bias". Conversion error, check your CKPT and try again

[TheLastBen]

NAI models have a different architecture, they can't be converted with the official diffusers script

[JimZeeKing]

NAI models have a different architecture, they can't be converted with the official diffusers script

How should one go about in order to resume training from a past session, if i may ask?

[TheLastBen]

simply enter the previous session name in the Session_Name box, if it exists in your gdrive, it will load the model automatically, so you can skip "the download model" cell above, and skip uploading instance images if they were uploaded previously

[JimZeeKing]

ok got it!