nuigurumi

/

basil_mix

like 975

Here are error logs. Some key configurations can be found in the logs. File diffusion_pytorch_model.bin was renamed to MODEL_NAME.vae.pt. It was then placed in the same folder as the model file.

Loading weights [0ff127093f] from F:\Data\stable-diffusion-webui\models\Stable-diffusion\Basil_mix_fixed.safetensors
Loading VAE weights found near the checkpoint: F:\Data\stable-diffusion-webui\models\Stable-diffusion\Basil_mix_fixed.vae.pt
Failed to load checkpoint, restoring previous
Loading weights [bbf07e3a1c] from F:\Data\stable-diffusion-webui\models\Stable-diffusion\basil_mix.ckpt
Applying xformers cross attention optimization.
changing setting sd_model_checkpoint to Basil_mix_fixed.safetensors: RuntimeError
Traceback (most recent call last):
  File "F:\Data\stable-diffusion-webui\modules\shared.py", line 534, in set
    self.data_labels[key].onchange()
  File "F:\Data\stable-diffusion-webui\modules\call_queue.py", line 15, in f
    res = func(*args, **kwargs)
  File "F:\Data\stable-diffusion-webui\webui.py", line 84, in <lambda>
    shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()))
  File "F:\Data\stable-diffusion-webui\modules\sd_models.py", line 441, in reload_model_weights
    load_model_weights(sd_model, checkpoint_info)
  File "F:\Data\stable-diffusion-webui\modules\sd_models.py", line 281, in load_model_weights
    sd_vae.load_vae(model, vae_file, vae_source)
  File "F:\Data\stable-diffusion-webui\modules\sd_vae.py", line 135, in load_vae
    _load_vae_dict(model, vae_dict_1)
  File "F:\Data\stable-diffusion-webui\modules\sd_vae.py", line 160, in _load_vae_dict
    model.first_stage_model.load_state_dict(vae_dict_1, strict=False)
  File "F:\Data\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1604, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:
    Missing key(s) in state_dict: "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", 

In my limited experience, this may be because

1. The bin file is not adapted.
2. It seems that config.json is not being loaded correctly to initialize the network.

I would be grateful if I could get your advice.