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Description
Is there an existing issue for this?
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OS
Windows
GPU
cuda
VRAM
6GB
What happened?
Using the web interface in the most recent version installed by the binary installer, changing the model to "papercut-1.0" results in the following error in the cmd window:
>> Loading papercut-1.0 from C:\Users\***\AppData\Roaming\InvokeAI\models\ldm\stable-diffusion-v1\PaperCut_v1.ckpt
| LatentDiffusion: Running in eps-prediction mode
| DiffusionWrapper has 859.52 M params.
| Making attention of type 'vanilla' with 512 in_channels
| Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
| Making attention of type 'vanilla' with 512 in_channels
** model papercut-1.0 could not be loaded: Error(s) in loading state_dict for LatentDiffusion:
size mismatch for embedding_manager.string_to_param_dict.*: copying a param with shape torch.Size([1, 768]) from checkpoint, the shape in current model is torch.Size([8, 768]).
size mismatch for embedding_manager.initial_embeddings.*: copying a param with shape torch.Size([1, 768]) from checkpoint, the shape in current model is torch.Size([8, 768]).
Traceback (most recent call last):
File "d:\ai\invokeai\ldm\invoke\model_cache.py", line 80, in get_model
requested_model, width, height, hash = self._load_model(model_name)
File "d:\ai\invokeai\ldm\invoke\model_cache.py", line 232, in _load_model
model.load_state_dict(sd, strict=False)
File "D:\AI\InvokeAI\.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 LatentDiffusion:
size mismatch for embedding_manager.string_to_param_dict.*: copying a param with shape torch.Size([1, 768]) from checkpoint, the shape in current model is torch.Size([8, 768]).
size mismatch for embedding_manager.initial_embeddings.*: copying a param with shape torch.Size([1, 768]) from checkpoint, the shape in current model is torch.Size([8, 768]).
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