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unet/diffusion_pytorch_model.safetensors: 100% 10.3G/10.3G [04:07<00:00, 41.5MB/s]
Fetching 15 files: 100% 15/15 [04:08<00:00, 16.54s/it]
The config attributes {'attention_type': 'default', 'dropout': 0.0} were passed to UNet2DConditionModel, but are not expected and will be ignored. Please verify your config.json configuration file.
Traceback (most recent call last):
File "/content/kohya-trainer/train_network_xl_wrapper.py", line 10, in
trainer.train(args)
File "/content/kohya-trainer/train_network.py", line 213, in train
model_version, text_encoder, vae, unet = self.load_target_model(args, weight_dtype, accelerator)
File "/content/kohya-trainer/sdxl_train_network.py", line 34, in load_target_model
) = sdxl_train_util.load_target_model(args, accelerator, sdxl_model_util.MODEL_VERSION_SDXL_BASE_V0_9, weight_dtype)
File "/content/kohya-trainer/library/sdxl_train_util.py", line 33, in load_target_model
) = _load_target_model(
File "/content/kohya-trainer/library/sdxl_train_util.py", line 79, in _load_target_model
pipe = StableDiffusionXLPipeline.from_pretrained(name_or_path, torch_dtype=weight_dtype, variant=variant, tokenizer=None)
File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 1037, in from_pretrained
loaded_sub_model = load_sub_model(
File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 450, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 1825, in from_pretrained
return cls._from_pretrained(
File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2044, in _from_pretrained
raise ValueError(
ValueError: Non-consecutive added token '!' found. Should have index 49408 but has index 0 in saved vocabulary.
The text was updated successfully, but these errors were encountered:
This https://huggingface.co/hearmeneigh/e621-rising-v3 does not work, using it in diffusers mode.
unet/diffusion_pytorch_model.safetensors: 100% 10.3G/10.3G [04:07<00:00, 41.5MB/s]
Fetching 15 files: 100% 15/15 [04:08<00:00, 16.54s/it]
The config attributes {'attention_type': 'default', 'dropout': 0.0} were passed to UNet2DConditionModel, but are not expected and will be ignored. Please verify your config.json configuration file.
Traceback (most recent call last):
File "/content/kohya-trainer/train_network_xl_wrapper.py", line 10, in
trainer.train(args)
File "/content/kohya-trainer/train_network.py", line 213, in train
model_version, text_encoder, vae, unet = self.load_target_model(args, weight_dtype, accelerator)
File "/content/kohya-trainer/sdxl_train_network.py", line 34, in load_target_model
) = sdxl_train_util.load_target_model(args, accelerator, sdxl_model_util.MODEL_VERSION_SDXL_BASE_V0_9, weight_dtype)
File "/content/kohya-trainer/library/sdxl_train_util.py", line 33, in load_target_model
) = _load_target_model(
File "/content/kohya-trainer/library/sdxl_train_util.py", line 79, in _load_target_model
pipe = StableDiffusionXLPipeline.from_pretrained(name_or_path, torch_dtype=weight_dtype, variant=variant, tokenizer=None)
File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 1037, in from_pretrained
loaded_sub_model = load_sub_model(
File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py", line 450, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 1825, in from_pretrained
return cls._from_pretrained(
File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2044, in _from_pretrained
raise ValueError(
ValueError: Non-consecutive added token '!' found. Should have index 49408 but has index 0 in saved vocabulary.
The text was updated successfully, but these errors were encountered: