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Datasets:
AgenticFilmLab
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minimax-h3-character-lora-test-record

Tags:
minimax-h3
lora
image-to-video
comfyui
reproducibility
ai-filmmaking
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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:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
                  raise e
                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
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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MiniMax H3 character-LoRA test record

This package contains the reproducibility record for the Agentic Film Lab video testing H3 Base, Realism People, and Better Human Motion with recurring characters.

What is included

  • manifest.json: the eight-cell test matrix, exact seeds, steps, LoRA strengths, geometry, prompt filenames, workflow filenames, and prompt SHA-256 hashes.
  • prompts/: the exact text supplied to each generation.
  • workflows/: the eight ComfyUI API workflows used for the viewer-facing runs.
  • anchors/: the four starting images used by the matched pairs.
  • cost-ledger-v001.md: generation time, displayed-rate estimates, provider billing, diagnostic activity, and accounting definitions.
  • observations.md: the contemporaneous output review record.
  • output-inventory.json: the captured generation-history metadata associated with the completed outputs.

Matched pairs

Cells Test Seed Steps LoRA treatment
01–02 Woman close-up 330301 20 H3 Base / Realism People 1.0
03–04 Mountain-character close-up 330302 20 H3 Base / Realism People 1.0
05–06 Umbrella motion 330303 30 H3 Base / Better Human Motion 0.7
07–08 Mountain-character motion 330304 30 H3 Base / Better Human Motion 0.7

All clips use 241 frames at 24 fps, res_multistep, the simple scheduler, video sigma shift 12, audio sigma shift 3, and prompt expansion off. Close-ups were generated at 1344 × 768. Motion clips used 736 × 1280 native masters and centered 720 × 1280 delivery crops.

Realism People adds the creator-documented r34l1sm trigger to its matched prompt. Better Human Motion uses prompt text identical to its Base pair; this is verifiable through the matching prompt hashes in manifest.json.

The manifest's prompt hash convention is SHA-256 over UTF-8 prompt text normalized to LF line endings with exactly one final LF. This makes the content hash independent of Windows versus Unix line endings. The normalized hashes were rechecked against both the packaged .txt files and the prompt embedded in every packaged workflow.

Model files recorded in the workflows

  • H3 transformer: minimax_h3_fl2va_pruned_fp8_scaled.safetensors
  • Text encoder: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
  • Video VAE: minimax_h3_video_vae_fp16.safetensors
  • Audio VAE: minimax_h3_audio_vae_fp32.safetensors
  • Realism People: h3-realism-people-t2v-i2v-r2v.safetensors
  • Better Human Motion: better_motion_h3_lora_v1_500.safetensors

The Better Human Motion file used for production has SHA-256 285f9ed3fbb735c3625fca0d22166c7450ad7acb552a869fcbbd8e86e79d1f4c.

Sources

The package does not contain the model weights. Download and license terms remain governed by their respective source pages.
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