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stable-diffusion-xl-base-1.0

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Calculating sha256 for E:\AI\stable-diffusion-webui\models\Stable-diffusion\sd_xl_base_1.0.safetensors: 31e35c80fc4829d14f90153f4c74cd59c90b779f6afe05a74cd6120b893f7e5b
Loading weights [31e35c80fc] from E:\AI\stable-diffusion-webui\models\Stable-diffusion\sd_xl_base_1.0.safetensors
Loading VAE weights found near the checkpoint: E:\AI\stable-diffusion-webui\models\VAE\sd_xl_base_1.0_0.9vae.safetensorsFailed to load checkpoint, restoring previous
Loading weights [0f1b80cfe8] from E:\AI\stable-diffusion-webui\models\Stable-diffusion\dreamshaperXL10_alpha2Xl10.safetensors
Applying attention optimization: xformers... done.
changing setting sd_model_checkpoint to sd_xl_base_1.0.safetensors: RuntimeError
Traceback (most recent call last):
File "E:\AI\stable-diffusion-webui\modules\shared.py", line 633, in set
self.data_labels[key].onchange()
File "E:\AI\stable-diffusion-webui\modules\call_queue.py", line 14, in f
res = func(*args, **kwargs)
File "E:\AI\stable-diffusion-webui\webui.py", line 238, in
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
File "E:\AI\stable-diffusion-webui\modules\sd_models.py", line 582, in reload_model_weights
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
File "E:\AI\stable-diffusion-webui\modules\sd_models.py", line 350, in load_model_weights
sd_vae.load_vae(model, vae_file, vae_source)
File "E:\AI\stable-diffusion-webui\modules\sd_vae.py", line 143, in load_vae
_load_vae_dict(model, vae_dict_1)
File "E:\AI\stable-diffusion-webui\modules\sd_vae.py", line 168, in _load_vae_dict
model.first_stage_model.load_state_dict(vae_dict_1)
File "E:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKLInferenceWrapper:
Missing key(s) in state_dict: "encoder.conv_in.weight", "encoder.conv_in.bias", "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.conv1.weight", "encoder.down.0.block.0.conv1.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.conv2.weight", "encoder.down.0.block.0.conv2.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.conv1.weight", "encoder.down.0.block.1.conv1.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.conv2.weight", "encoder.down.0.block.1.conv2.bias", "encoder.down.0.downsample.conv.weight", "encoder.down.0.downsample.conv.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.conv1.weight", "encoder.down.1.block.0.conv1.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.conv2.weight", "encoder.down.1.block.0.conv2.bias", "encoder.down.1.block.0.nin_shortcut.weight", "encoder.down.1.block.0.nin_shortcut.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.conv1.weight", "encoder.down.1.block.1.conv1.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.conv2.weight", "encoder.down.1.block.1.conv2.bias", "encoder.down.1.downsample.conv.weight", "encoder.down.1.downsample.conv.bias", "encoder.down.2.block.0.norm1.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.conv1.weight", "encoder.down.2.block.0.conv1.bias", "encoder.down.2.block.0.norm2.weight", "encoder.down.2.block.0.norm2.bias", "encoder.down.2.block.0.conv2.weight", "encoder.down.2.block.0.conv2.bias", "encoder.down.2.block.0.nin_shortcut.weight", "encoder.down.2.block.0.nin_shortcut.bias", "encoder.down.2.block.1.norm1.weight", "encoder.down.2.block.1.norm1.bias", "encoder.down.2.block.1.conv1.weight", "encoder.down.2.block.1.conv1.bias", "encoder.down.2.block.1.norm2.weight", "encoder.down.2.block.1.norm2.bias", "encoder.down.2.block.1.conv2.weight", "encoder.down.2.block.1.conv2.bias", "encoder.down.2.downsample.conv.weight", "encoder.down.2.downsample.conv.bias", "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.conv1.weight", "encoder.down.3.block.0.conv1.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.conv2.weight", "encoder.down.3.block.0.conv2.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.conv1.weight", "encoder.down.3.block.1.conv1.bias", "encoder.down.3.block.1.norm2.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.conv2.weight", "encoder.down.3.block.1.conv2.bias", "encoder.mid.block_1.norm1.weight", "encoder.mid.block_1.norm1.bias", "encoder.mid.block_1.conv1.weight", "encoder.mid.block_1.conv1.bias", "encoder.mid.block_1.norm2.weight", "encoder.mid.block_1.norm2.bias", "encoder.mid.block_1.conv2.weight", "encoder.mid.block_1.conv2.bias", "encoder.mid.attn_1.norm.weight", "encoder.mid.attn_1.norm.bias", "encoder.mid.attn_1.q.weight", "encoder.mid.attn_1.q.bias", "encoder.mid.attn_1.k.weight", "encoder.mid.attn_1.k.bias", "encoder.mid.attn_1.v.weight", "encoder.mid.attn_1.v.bias", "encoder.mid.attn_1.proj_out.weight", "encoder.mid.attn_1.proj_out.bias", "encoder.mid.block_2.norm1.weight", "encoder.mid.block_2.norm1.bias", "encoder.mid.block_2.conv1.weight", "encoder.mid.block_2.conv1.bias", "encoder.mid.block_2.norm2.weight", "encoder.mid.block_2.norm2.bias", "encoder.mid.block_2.conv2.weight", "encoder.mid.block_2.conv2.bias", "encoder.norm_out.weight", "encoder.norm_out.bias", "encoder.conv_out.weight", "encoder.conv_out.bias", "decoder.conv_in.weight", "decoder.conv_in.bias", "decoder.mid.block_1.norm1.weight", "decoder.mid.block_1.norm1.bias", "decoder.mid.block_1.conv1.weight", "decoder.mid.block_1.conv1.bias", "decoder.mid.block_1.norm2.weight", "decoder.mid.block_1.norm2.bias", "decoder.mid.block_1.conv2.weight", "decoder.mid.block_1.conv2.bias", "decoder.mid.attn_1.norm.weight", "decoder.mid.attn_1.norm.bias", "decoder.mid.attn_1.q.weight", "decoder.mid.attn_1.q.bias", "decoder.mid.attn_1.k.weight", "decoder.mid.attn_1.k.bias", "decoder.mid.attn_1.v.weight", "decoder.mid.attn_1.v.bias", "decoder.mid.attn_1.proj_out.weight", "decoder.mid.attn_1.proj_out.bias", "decoder.mid.block_2.norm1.weight", "decoder.mid.block_2.norm1.bias", "decoder.mid.block_2.conv1.weight", "decoder.mid.block_2.conv1.bias", "decoder.mid.block_2.norm2.weight", "decoder.mid.block_2.norm2.bias", "decoder.mid.block_2.conv2.weight", "decoder.mid.block_2.conv2.bias", "decoder.up.0.block.0.norm1.weight", "decoder.up.0.block.0.norm1.bias", "decoder.up.0.block.0.conv1.weight", "decoder.up.0.block.0.conv1.bias", "decoder.up.0.block.0.norm2.weight", "decoder.up.0.block.0.norm2.bias", "decoder.up.0.block.0.conv2.weight", "decoder.up.0.block.0.conv2.bias", "decoder.up.0.block.0.nin_shortcut.weight", "decoder.up.0.block.0.nin_shortcut.bias", "decoder.up.0.block.1.norm1.weight", "decoder.up.0.block.1.norm1.bias", "decoder.up.0.block.1.conv1.weight", "decoder.up.0.block.1.conv1.bias", "decoder.up.0.block.1.norm2.weight", "decoder.up.0.block.1.norm2.bias", "decoder.up.0.block.1.conv2.weight", "decoder.up.0.block.1.conv2.bias", "decoder.up.0.block.2.norm1.weight", "decoder.up.0.block.2.norm1.bias", "decoder.up.0.block.2.conv1.weight", "decoder.up.0.block.2.conv1.bias", "decoder.up.0.block.2.norm2.weight", "decoder.up.0.block.2.norm2.bias", "decoder.up.0.block.2.conv2.weight", "decoder.up.0.block.2.conv2.bias", "decoder.up.1.block.0.norm1.weight", "decoder.up.1.block.0.norm1.bias", "decoder.up.1.block.0.conv1.weight", "decoder.up.1.block.0.conv1.bias", "decoder.up.1.block.0.norm2.weight", "decoder.up.1.block.0.norm2.bias", "decoder.up.1.block.0.conv2.weight", "decoder.up.1.block.0.conv2.bias", "decoder.up.1.block.0.nin_shortcut.weight", "decoder.up.1.block.0.nin_shortcut.bias", "decoder.up.1.block.1.norm1.weight", "decoder.up.1.block.1.norm1.bias", "decoder.up.1.block.1.conv1.weight", "decoder.up.1.block.1.conv1.bias", "decoder.up.1.block.1.norm2.weight", "decoder.up.1.block.1.norm2.bias", "decoder.up.1.block.1.conv2.weight", "decoder.up.1.block.1.conv2.bias", "decoder.up.1.block.2.norm1.weight", "decoder.up.1.block.2.norm1.bias", "decoder.up.1.block.2.conv1.weight", "decoder.up.1.block.2.conv1.bias", "decoder.up.1.block.2.norm2.weight", "decoder.up.1.block.2.norm2.bias", "decoder.up.1.block.2.conv2.weight", "decoder.up.1.block.2.conv2.bias", "decoder.up.1.upsample.conv.weight", "decoder.up.1.upsample.conv.bias", "decoder.up.2.block.0.norm1.weight", "decoder.up.2.block.0.norm1.bias", "decoder.up.2.block.0.conv1.weight", "decoder.up.2.block.0.conv1.bias", "decoder.up.2.block.0.norm2.weight", "decoder.up.2.block.0.norm2.bias", "decoder.up.2.block.0.conv2.weight", "decoder.up.2.block.0.conv2.bias", "decoder.up.2.block.1.norm1.weight", "decoder.up.2.block.1.norm1.bias", "decoder.up.2.block.1.conv1.weight", "decoder.up.2.block.1.conv1.bias", "decoder.up.2.block.1.norm2.weight", "decoder.up.2.block.1.norm2.bias", "decoder.up.2.block.1.conv2.weight", "decoder.up.2.block.1.conv2.bias", "decoder.up.2.block.2.norm1.weight", "decoder.up.2.block.2.norm1.bias", "decoder.up.2.block.2.conv1.weight", "decoder.up.2.block.2.conv1.bias", "decoder.up.2.block.2.norm2.weight", "decoder.up.2.block.2.norm2.bias", "decoder.up.2.block.2.conv2.weight", "decoder.up.2.block.2.conv2.bias", "decoder.up.2.upsample.conv.weight", "decoder.up.2.upsample.conv.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.conv1.weight", "decoder.up.3.block.0.conv1.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.conv2.weight", "decoder.up.3.block.0.conv2.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.conv1.weight", "decoder.up.3.block.1.conv1.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.conv2.weight", "decoder.up.3.block.1.conv2.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.conv1.weight", "decoder.up.3.block.2.conv1.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.conv2.weight", "decoder.up.3.block.2.conv2.bias", "decoder.up.3.upsample.conv.weight", "decoder.up.3.upsample.conv.bias", "decoder.norm_out.weight", "decoder.norm_out.bias", "decoder.conv_out.weight", "decoder.conv_out.bias", "quant_conv.weight", "quant_conv.bias", "post_quant_conv.weight", "post_quant_conv.bias".
Unexpected key(s) in state_dict: "conditioner.embedders.0.transformer.text_model.embeddings.position_embedding.weight", "conditioner.embedders.0.transformer.text_model.embeddings.position_ids", "conditioner.embedders.0.transformer.text_model.embeddings.token_embedding.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.mlp.fc2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.k_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.k_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.out_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.out_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.q_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.q_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.v_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.0.self_attn.v_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.mlp.fc2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.k_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.k_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.out_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.out_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.q_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.q_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.v_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.1.self_attn.v_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.mlp.fc2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.k_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.k_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.out_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.out_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.q_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.q_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.v_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.10.self_attn.v_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.mlp.fc2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.k_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.out_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.q_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.q_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.v_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.11.self_attn.v_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.mlp.fc2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.k_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.out_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.q_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.q_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.v_proj.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.2.self_attn.v_proj.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm1.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm1.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm2.bias", "conditioner.embedders.0.transformer.text_model.encoder.layers.3.layer_norm2.weight", "conditioner.embedders.0.transformer.text_model.encoder.layers.3.mlp.fc1.bias", 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