The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 9 new columns ({'memory (gbs)', 'pipeline_cls', 'num_inference_steps', 'run_compile', 'model_cpu_offload', 'actual_gpu_memory (gbs)', 'ckpt_id', 'batch_size', 'time (secs)'}) and 10 missing columns ({'time_plain_s', 'flops_G', 'scenario', 'num_params_B', 'mem_compile_GB', 'time_compile_s', 'mem_plain_GB', 'mode', 'model_cls', 'fullgraph'}).

This happened while the csv dataset builder was generating data using

hf://datasets/diffusers/benchmarks/collated_results_old.csv (at revision 4eefb41be3cea4a11d53fe704e699e48b2664c43)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              pipeline_cls: string
              ckpt_id: string
              batch_size: int64
              num_inference_steps: int64
              model_cpu_offload: bool
              run_compile: bool
              time (secs): string
              memory (gbs): string
              actual_gpu_memory (gbs): double
              github_sha: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1509
              to
              {'scenario': Value(dtype='string', id=None), 'model_cls': Value(dtype='string', id=None), 'num_params_B': Value(dtype='float64', id=None), 'flops_G': Value(dtype='float64', id=None), 'time_plain_s': Value(dtype='string', id=None), 'mem_plain_GB': Value(dtype='float64', id=None), 'time_compile_s': Value(dtype='string', id=None), 'mem_compile_GB': Value(dtype='float64', id=None), 'fullgraph': Value(dtype='bool', id=None), 'mode': Value(dtype='string', id=None), 'github_sha': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1436, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 9 new columns ({'memory (gbs)', 'pipeline_cls', 'num_inference_steps', 'run_compile', 'model_cpu_offload', 'actual_gpu_memory (gbs)', 'ckpt_id', 'batch_size', 'time (secs)'}) and 10 missing columns ({'time_plain_s', 'flops_G', 'scenario', 'num_params_B', 'mem_compile_GB', 'time_compile_s', 'mem_plain_GB', 'mode', 'model_cls', 'fullgraph'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/diffusers/benchmarks/collated_results_old.csv (at revision 4eefb41be3cea4a11d53fe704e699e48b2664c43)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

scenario
string
model_cls
string
num_params_B
float64
flops_G
float64
time_plain_s
string
mem_plain_GB
float64
time_compile_s
string
mem_compile_GB
float64
fullgraph
bool
mode
string
github_sha
string
black-forest-labs/FLUX.1-dev-bf16
FluxTransformer2DModel
11.9
59,529.52
0.532 (0.534)
22.61
0.377 (0.383)
22.7
true
default
a09768f2bd006dd36ce5e705e65cc87565b42702
black-forest-labs/FLUX.1-dev-bnb-nf4
FluxTransformer2DModel
5.95
null
0.563
6.7
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
black-forest-labs/FLUX.1-dev-layerwise-upcasting
FluxTransformer2DModel
11.9
59,529.52
0.598 (0.599)
22.18
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
black-forest-labs/FLUX.1-dev-group-offload-leaf
FluxTransformer2DModel
11.9
59,529.52
1.897
0.53
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
Lightricks/LTX-Video-0.9.7-dev-bf16
LTXVideoTransformer3DModel
13.04
167,583.45
1.601 (1.598)
25.21
1.099 (1.079)
25.31
true
default
a09768f2bd006dd36ce5e705e65cc87565b42702
Lightricks/LTX-Video-0.9.7-dev-layerwise-upcasting
LTXVideoTransformer3DModel
13.04
167,583.45
1.661 (1.656)
24.38
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
Lightricks/LTX-Video-0.9.7-dev-group-offload-leaf
LTXVideoTransformer3DModel
13.04
167,583.45
2.761 (2.762)
1.04
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
stabilityai/stable-diffusion-xl-base-1.0-bf16
UNet2DConditionModel
2.57
5,979.1
0.076
5.05
0.055 (0.054)
5.24
true
default
a09768f2bd006dd36ce5e705e65cc87565b42702
stabilityai/stable-diffusion-xl-base-1.0-layerwise-upcasting
UNet2DConditionModel
2.57
5,979.1
0.162 (0.154)
4.89
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
stabilityai/stable-diffusion-xl-base-1.0-group-offload-leaf
UNet2DConditionModel
2.57
5,979.1
0.518 (0.524)
0.2
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
Wan-AI/Wan2.1-T2V-14B-Diffusers-bf16
WanTransformer3DModel
14.29
785,611.67
10.966 (10.922)
31.17
8.59 (8.456)
31.77
true
default
a09768f2bd006dd36ce5e705e65cc87565b42702
Wan-AI/Wan2.1-T2V-14B-Diffusers-layerwise-upcasting
WanTransformer3DModel
14.29
785,611.67
10.913 (10.766)
26.78
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
Wan-AI/Wan2.1-T2V-14B-Diffusers-group-offload-leaf
WanTransformer3DModel
14.29
785,611.67
11.254 (11.262)
4.48
null
null
null
null
a09768f2bd006dd36ce5e705e65cc87565b42702
null
null
null
null
null
null
null
null
null
null
f4fa3beee7f49b80ce7a58f9c8002f43299175c9
null
null
null
null
null
null
null
null
null
null
f4fa3beee7f49b80ce7a58f9c8002f43299175c9
null
null
null
null
null
null
null
null
null
null
f4fa3beee7f49b80ce7a58f9c8002f43299175c9
null
null
null
null
null
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null
null
null
null
f4fa3beee7f49b80ce7a58f9c8002f43299175c9
null
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null
f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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f4fa3beee7f49b80ce7a58f9c8002f43299175c9
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