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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
families: list<item: struct<id: string, label: string, kind: string>>
  child 0, item: struct<id: string, label: string, kind: string>
      child 0, id: string
      child 1, label: string
      child 2, kind: string
id: string
seed: int64
torch_version: string
prompt: string
path: string
gpu_name: string
model: string
cfg_scale: double
height: int64
steps: int64
extra: struct<source: string, recipe: string, model_uri: string, sd_cli_argv: list<item: string>, duration_ (... 290 chars omitted)
  child 0, source: string
  child 1, recipe: string
  child 2, model_uri: string
  child 3, sd_cli_argv: list<item: string>
      child 0, item: string
  child 4, duration_ms: int64
  child 5, gpu_name: string
  child 6, cuda_version: string
  child 7, torch_version: string
  child 8, driver_version: string
  child 9, nvidia_driver: string
  child 10, sd_cli_version: string
  child 11, sd_cli_binary: string
  child 12, python_version: string
  child 13, platform: string
  child 14, modal_gpu: string
  child 15, sdcpp_image: string
  child 16, gpu_memory_mib: string
  child 17, runtime: string
width: int64
created_at: string
duration_ms: int64
negative_prompt: string
cuda_version: string
to
{'id': Value('string'), 'model': Value('string'), 'path': Value('string'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'seed': Value('int64'), 'steps': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'cfg_scale': Value('float64'), 'created_at': Value('string'), 'extra': {'source': Value('string'), 'recipe': Value('string'), 'model_uri': Value('string'), 'sd_cli_argv': List(Value('string')), 'duration_ms': Value('int64'), 'gpu_name': Value('string'), 'cuda_version': Value('string'), 'torch_version': Value('string'), 'driver_version': Value('string'), 'nvidia_driver': Value('string'), 'sd_cli_version': Value('string'), 'sd_cli_binary': Value('string'), 'python_version': Value('string'), 'platform': Value('string'), 'modal_gpu': Value('string'), 'sdcpp_image': Value('string'), 'gpu_memory_mib': Value('string'), 'runtime': Value('string')}, 'duration_ms': Value('int64'), 'gpu_name': Value('string'), 'cuda_version': Value('string'), 'torch_version': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              families: list<item: struct<id: string, label: string, kind: string>>
                child 0, item: struct<id: string, label: string, kind: string>
                    child 0, id: string
                    child 1, label: string
                    child 2, kind: string
              id: string
              seed: int64
              torch_version: string
              prompt: string
              path: string
              gpu_name: string
              model: string
              cfg_scale: double
              height: int64
              steps: int64
              extra: struct<source: string, recipe: string, model_uri: string, sd_cli_argv: list<item: string>, duration_ (... 290 chars omitted)
                child 0, source: string
                child 1, recipe: string
                child 2, model_uri: string
                child 3, sd_cli_argv: list<item: string>
                    child 0, item: string
                child 4, duration_ms: int64
                child 5, gpu_name: string
                child 6, cuda_version: string
                child 7, torch_version: string
                child 8, driver_version: string
                child 9, nvidia_driver: string
                child 10, sd_cli_version: string
                child 11, sd_cli_binary: string
                child 12, python_version: string
                child 13, platform: string
                child 14, modal_gpu: string
                child 15, sdcpp_image: string
                child 16, gpu_memory_mib: string
                child 17, runtime: string
              width: int64
              created_at: string
              duration_ms: int64
              negative_prompt: string
              cuda_version: string
              to
              {'id': Value('string'), 'model': Value('string'), 'path': Value('string'), 'prompt': Value('string'), 'negative_prompt': Value('string'), 'seed': Value('int64'), 'steps': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'cfg_scale': Value('float64'), 'created_at': Value('string'), 'extra': {'source': Value('string'), 'recipe': Value('string'), 'model_uri': Value('string'), 'sd_cli_argv': List(Value('string')), 'duration_ms': Value('int64'), 'gpu_name': Value('string'), 'cuda_version': Value('string'), 'torch_version': Value('string'), 'driver_version': Value('string'), 'nvidia_driver': Value('string'), 'sd_cli_version': Value('string'), 'sd_cli_binary': Value('string'), 'python_version': Value('string'), 'platform': Value('string'), 'modal_gpu': Value('string'), 'sdcpp_image': Value('string'), 'gpu_memory_mib': Value('string'), 'runtime': Value('string')}, 'duration_ms': Value('int64'), 'gpu_name': Value('string'), 'cuda_version': Value('string'), 'torch_version': Value('string')}
              because column names don't match

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stable-diffusion.cpp gallery

Public dataset of images generated with stable-diffusion.cpp.

Each model family has its own folder. Unknown future models just get a new slug under images/<model-id>/.

images/
  sd15/<id>.png
  sd15/<id>.json
  flux/<id>.png
  wan/<id>.png

Sidecar JSON keeps prompt, seed, steps, size, run duration, GPU name, CUDA version, and torch version. GitHub Pages rebuilds a paginated gallery from these files.

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