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facetwin-flux-kontext-prompts

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Tags:
flux-kontext-pro
replicate
ai-art
privacy-art
face-twin
image-degradation
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
text: string
display_label: string
paired_degradation_profile_id: string
intended_visual_failure_mode: string
blue_shift: int64
brightness_shift: int64
target_width: int64
notes: string
jpeg_quality_pass_1: string
jpeg_quality_pass_2: string
hue_shift: int64
noise_amount: int64
red_shift: int64
name: string
desaturation: int64
green_shift: int64
to
{'id': Value('string'), 'name': Value('string'), 'target_width': Value('int64'), 'jpeg_quality_pass_1': Value('string'), 'jpeg_quality_pass_2': Value('string'), 'desaturation': Value('int64'), 'hue_shift': Value('int64'), 'red_shift': Value('int64'), 'green_shift': Value('int64'), 'blue_shift': Value('int64'), 'brightness_shift': Value('int64'), 'noise_amount': Value('int64'), 'notes': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              text: string
              display_label: string
              paired_degradation_profile_id: string
              intended_visual_failure_mode: string
              blue_shift: int64
              brightness_shift: int64
              target_width: int64
              notes: string
              jpeg_quality_pass_1: string
              jpeg_quality_pass_2: string
              hue_shift: int64
              noise_amount: int64
              red_shift: int64
              name: string
              desaturation: int64
              green_shift: int64
              to
              {'id': Value('string'), 'name': Value('string'), 'target_width': Value('int64'), 'jpeg_quality_pass_1': Value('string'), 'jpeg_quality_pass_2': Value('string'), 'desaturation': Value('int64'), 'hue_shift': Value('int64'), 'red_shift': Value('int64'), 'green_shift': Value('int64'), 'blue_shift': Value('int64'), 'brightness_shift': Value('int64'), 'noise_amount': Value('int64'), 'notes': Value('string')}
              because column names don't match

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FaceTwin — Flux Kontext Pro prompts + image-degradation profiles

Public, CC BY 4.0 dataset companion to the FaceTwin Project, a privacy-art piece exploring AI-generated face doppelgangers.

The project has two public framings, one consumer-art and one consumer-prank:

  • Privacy art: https://pleasejuststop.org — "Clicking a link can find strangers who look like me? If we buy that, we've given up on privacy. Test it to find out."
  • Prank tool: https://prankmyface.lol — same backend, hot-pink framing as a "send your friend a fake AI face-matcher" prank.

This dataset is the prompts + degradation profiles that drive the live sites' image generation, packaged as JSONL.

Contents

File Rows Description
data/prompts.jsonl 3 The three production prompts fed to black-forest-labs/flux-kontext-pro.
data/degradation-profiles.jsonl 6 The six post-processing profiles applied to outputs.

Schema

prompts.jsonl 

{
  "id": "leather-wall",                       // stable id used in production
  "text": "Edit this photo to show this person posing against a wall...", // verbatim prompt
  "display_label": "Riley S. — Nashville, TN", // label shown to the recipient on the fake AI-match page
  "paired_degradation_profile_id": "black-and-white",  // foreign key to degradation-profiles
  "intended_visual_failure_mode": "..."        // what the production prompt is trying to hide / surface
}

degradation-profiles.jsonl 

{
  "id": "black-and-white",   // stable id
  "name": "black-and-white", // human label
  "target_width": 450,
  "jpeg_quality_pass_1": "38 + random(0..4)",
  "jpeg_quality_pass_2": "58 + random(0..4)",
  "desaturation": 100,
  "hue_shift": 0,
  "red_shift": 0,
  "green_shift": 0,
  "blue_shift": 0,
  "brightness_shift": -3,
  "noise_amount": 20,
  "notes": "Full desaturation. Pairs with the leather-wall prompt..."
}

All values are verbatim from production source.

Model parameters

All three production prompts use:

{
  "model": "black-forest-labs/flux-kontext-pro",
  "aspect_ratio": "3:4",
  "output_format": "png",
  "safety_tolerance": 2
}

output_format MUST be "png" or "webp" — "jpg" silently fails every generation.

Related artifacts

License

CC BY 4.0. You may copy, redistribute, remix, transform, and build upon the material for any purpose, including commercially, provided you give appropriate credit.

@misc{facetwin-flux-kontext-prompts-2026,
  author = {Miller, Forrest},
  title  = {FaceTwin — Flux Kontext Pro prompts + image-degradation profiles},
  year   = {2026},
  url    = {https://huggingface.co/datasets/bingwow/facetwin-flux-kontext-prompts}
}

Contact

Forrest Miller — hello@bingwow.com · https://github.com/forrestmill-cmd
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