raceback (most recent call last):
File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\train.py", line 181, in train_main
result = train_lora(t)
File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\train.py", line 234, in train_lora
for batch in t.dataloader:
File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\dataset.py", line 52, in next
return next(self.iterators[idx])
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next
data = self._next_data()
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\dataloader.py", line 677, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 54, in fetch
return self.collate_fn(data)
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'mask'
Loss EMA * 1000: 50.6757, Current LR: 1.00e-04, 1.00e-04, Epoch: 0: 1%|▏ | 2/200 [00:02<04:12, 1.27s/it]
Loading weights [54ef3e3610] from C:\stablediffusion20230621\stable-diffusion-webui\models\Stable-diffusion\anime\meinamix_meinaV11.safetensors
Creating model from config: C:\stablediffusion20230811\stable-diffusion-webui\configs\v1-inpainting-inference.yaml
Loading VAE weights specified in settings: C:\stablediffusion20230621\stable-diffusion-webui\models\VAE\vae-ft-mse-840000-ema-pruned.safetensors
Applying attention optimization: xformers... done.
Model loaded in 1.6s (unload existing model: 0.2s, load weights from disk: 0.1s, create model: 0.2s, apply weights to model: 0.8s, load VAE: 0.2s).
raceback (most recent call last): File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\train.py", line 181, in train_main result = train_lora(t) File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\train.py", line 234, in train_lora for batch in t.dataloader: File "C:\stablediffusion20230811\stable-diffusion-webui\extensions\sd-webui-traintrain\trainer\dataset.py", line 52, in next return next(self.iterators[idx]) File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next data = self._next_data() File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data\dataloader.py", line 677, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\fetch.py", line 54, in fetch return self.collate_fn(data) File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 265, in default_collate return collate(batch, collate_fn_map=default_collate_fn_map) File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in collate return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem}) File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "C:\stablediffusion20230811\stable-diffusion-webui\venv\lib\site-packages\torch\utils\data_utils\collate.py", line 127, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'mask'
Loss EMA * 1000: 50.6757, Current LR: 1.00e-04, 1.00e-04, Epoch: 0: 1%|▏ | 2/200 [00:02<04:12, 1.27s/it] Loading weights [54ef3e3610] from C:\stablediffusion20230621\stable-diffusion-webui\models\Stable-diffusion\anime\meinamix_meinaV11.safetensors Creating model from config: C:\stablediffusion20230811\stable-diffusion-webui\configs\v1-inpainting-inference.yaml Loading VAE weights specified in settings: C:\stablediffusion20230621\stable-diffusion-webui\models\VAE\vae-ft-mse-840000-ema-pruned.safetensors Applying attention optimization: xformers... done. Model loaded in 1.6s (unload existing model: 0.2s, load weights from disk: 0.1s, create model: 0.2s, apply weights to model: 0.8s, load VAE: 0.2s).