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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/plasmo/Flux.Txt2Img.DreamUpscaler@77694344d2b6bb40f674a5ff3d4e8fd20d6f16ca/FLUX_Text2Img_DreamUpscaler_v1.0_workflow.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['last_node_id', 'last_link_id', 'nodes', 'links', 'groups', 'config', 'extra', 'version']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, 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 2216, 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 1239, 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 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/plasmo/Flux.Txt2Img.DreamUpscaler@77694344d2b6bb40f674a5ff3d4e8fd20d6f16ca/FLUX_Text2Img_DreamUpscaler_v1.0_workflow.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['last_node_id', 'last_link_id', 'nodes', 'links', 'groups', 'config', 'extra', 'version']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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Basic Text-to-Image Dream Upscaler using Flux Schnell 4-step as base image with added Dream Detail using Flux Dev model then upscaled. Seems to work fine on 12GB VRAM and completes final image in around a minute. Feel free to use and modify. Credits to this workflow compilation goes to Purz/MJM/WhatDaFAI

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