Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/nodes/[]/widgets_values/[]) changed from string to number in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ComfyUI Workflows Catalog
Author: malcolmrey
A curated collection of production-ready ComfyUI workflows (both programmatic API .json and visual UI graphs) for cutting-edge Diffusion Transformer models.
MiniMax-H3 Workflows
Full technical documentation and API client examples: MINIMAX_H3_API_WORKFLOWS_GUIDE.md
Available Workflows in H3/:
1. Accelerated Standalone Generation:
workflow_api_minimaxh3_fbc_refmod_turbo_8step.json— Primary Standard (8-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMod persona conditioning). ~41s render per 5s video.workflow_api_minimaxh3_fbc_refmod_turbo_4step.json— High-Speed Prototyping (4-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMod persona conditioning). ~21s render per 5s video.workflow_api_minimaxh3_fbc_refmod_standard.json— Archival Base Quality (20-Step RES Multistep, FBC Safe 0.08, RefMod persona conditioning). ~110s render.
2. Accelerated C2V (Clip-to-Video) Continuous Chaining:
workflow_api_minimaxh3_fbc_refmod_c2v_turbo_8step.json— Primary Movie Production C2V (8-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMods, 22-frame motion context carryover). ~41s per scene.workflow_api_minimaxh3_fbc_refmod_c2v_turbo_4step.json— Rapid C2V Storyboarding (4-Step Euler, FBC Fast 0.10, LightX Turbo LoRA, RefMods, 22-frame motion context carryover). ~21s per scene.workflow_api_minimaxh3_fbc_refmod_c2v_standard.json— Archival C2V Master Quality (20-Step RES Multistep, FBC Safe 0.08, RefMods, 22-frame motion context carryover).
3. Core & Legacy Workflows:
workflow_api_minimaxh3_t2v.json— Multimodal Text-to-Video with synchronized spoken dialogue and ambient acoustic generation.workflow_api_minimaxh3_i2v.json— Image-to-Video animation.workflow_api_minimaxh3_r2v.json— Multi-modal Reference-to-Video (combines reference images, audio, and video).workflow_api_minimaxh3_c2v.json— Clip-to-Video legacy continuation.workflow_api_minimaxh3_ref_c2v.json— Reference conditioning + Clip-to-Video legacy continuity.workflow_minimaxh3_refmod.json— Interactive ComfyUI Web UI visual graph for RefMod persona testing.
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