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Datasets:
nilor-corp
/
nilor-upscale

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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/nilor-corp/nilor-upscale@675ba130ab7b6dd96825086ec6566adf44c53a90/workflows/api_nilor_upscale_workflow_v3.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2643, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1659, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1816, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1347, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 318, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 165, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/nilor-corp/nilor-upscale@675ba130ab7b6dd96825086ec6566adf44c53a90/workflows/api_nilor_upscale_workflow_v3.json.

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models that must be manually placed (included in this repo):

  • ip-adapter_image_encoder_sd15.safetensors
    • must be added to models\clip_vision
  • motion_controlnet_checkpoint.ckpt
    • must be added to models\controlnet
  • AnimateLCM_sd15_t2v.ckpt
    • must be added to models\animatediff_models
  • 4xLexicaDAT2_otfi.pth
    • must be added to models\upscale_models
  • ip-adapter-plus_sd15.safetensors
    • must be added to models\ipadadapter
  • photonLCM_v10.safetensors
    • must be added to models\checkpoints
  • vae-ft-mse-840000-ema-pruned.safetensors
    • must be added to *models\vae"
  • lcm_lora_sd15.safetensors
    • must be added to models\loras
  • WAS26.safetensors
    • must be added to models/animatediff_motion_lora
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