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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    DatasetGenerationError
Message:      An error occurred while generating the dataset
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<Ios16.add: int64, Ios16.cast: int64, Ios16.gather: int64, Ios16.gatherNd: int64, Ios16.gelu: int64, Ios16.layerNorm: int64, Ios16.linear: int64, Ios16.matmul: int64, Ios16.mul: int64, Ios16.reduceArgmax: int64, Ios16.reshape: int64, Ios16.softmax: int64, Stack: int64, Transpose: int64>
              to
              {'Ios16.add': Value(dtype='int64', id=None), 'Ios16.cast': Value(dtype='int64', id=None), 'Ios16.gather': Value(dtype='int64', id=None), 'Ios16.gatherNd': Value(dtype='int64', id=None), 'Ios16.layerNorm': Value(dtype='int64', id=None), 'Ios16.linear': Value(dtype='int64', id=None), 'Ios16.matmul': Value(dtype='int64', id=None), 'Ios16.mul': Value(dtype='int64', id=None), 'Ios16.reduceArgmax': Value(dtype='int64', id=None), 'Ios16.reshape': Value(dtype='int64', id=None), 'Ios16.sigmoid': Value(dtype='int64', id=None), 'Ios16.softmax': Value(dtype='int64', id=None), 'Stack': Value(dtype='int64', id=None), 'Transpose': Value(dtype='int64', id=None)}
              
              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/parquet_and_info.py", line 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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storagePrecision
string
computePrecision
string
modelType
dict
inputSchema
list
generatedClassName
string
method
string
author
string
specificationVersion
int64
version
string
shortDescription
string
userDefinedMetadata
dict
mlProgramOperationTypeHistogram
dict
modelParameters
sequence
metadataOutputVersion
string
isUpdatable
string
outputSchema
list
availability
dict
license
string
Float16
Mixed (Float16, Float32, Int32)
{ "name": "MLModelType_mlProgram" }
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32 1 × 77)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "input_ids", "shape": "[1, 77]", "shortDescription": "The token ids that represent the input text", "type": "MultiArray" } ]
Stable_Diffusion_version_diffusers_stable_diffusion_xl_base_1_0_text_encoder
predict
Please refer to the Model Card available at huggingface.co/diffusers/stable-diffusion-xl-base-1.0
7
diffusers/stable-diffusion-xl-base-1.0
Stable Diffusion generates images conditioned on text and/or other images as input through the diffusion process. Please refer to https://arxiv.org/abs/2112.10752 for details.
{ "com.github.apple.coremltools.source": "torch==2.0.1+cu117", "com.github.apple.coremltools.version": "7.0b1" }
{ "Ios16.add": 37, "Ios16.cast": 3, "Ios16.gather": 1, "Ios16.gatherNd": 1, "Ios16.layerNorm": 25, "Ios16.linear": 72, "Ios16.matmul": 24, "Ios16.mul": 36, "Ios16.reduceArgmax": 1, "Ios16.reshape": 120, "Ios16.sigmoid": 12, "Ios16.softmax": 12, "Stack": 1, "Transpose": 60 }
[]
3.0
0
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "hidden_embeds", "shape": "[]", "shortDescription": "Hidden states after the encoder layers", "type": "MultiArray" }, { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "pooled_outputs", "shape": "[]", "shortDescription": "The version of the `last_hidden_state` output after pooling", "type": "MultiArray" } ]
{ "iOS": "16.0", "macCatalyst": "16.0", "macOS": "13.0", "tvOS": "16.0", "watchOS": "9.0" }
OpenRAIL (https://huggingface.co/spaces/CompVis/stable-diffusion-license)
Float16
Mixed (Float16, Float32, Int32)
{ "name": "MLModelType_mlProgram" }
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32 1 × 77)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "input_ids", "shape": "[1, 77]", "shortDescription": "The token ids that represent the input text", "type": "MultiArray" } ]
Stable_Diffusion_version_diffusers_stable_diffusion_xl_base_1_0_text_encoder_2
predict
Please refer to the Model Card available at huggingface.co/diffusers/stable-diffusion-xl-base-1.0
7
diffusers/stable-diffusion-xl-base-1.0
Stable Diffusion generates images conditioned on text and/or other images as input through the diffusion process. Please refer to https://arxiv.org/abs/2112.10752 for details.
{ "com.github.apple.coremltools.source": "torch==2.0.1+cu117", "com.github.apple.coremltools.version": "7.0b1" }
{ "Ios16.add": 97, "Ios16.cast": 3, "Ios16.gather": 1, "Ios16.gatherNd": 1, "Ios16.gelu": 32, "Ios16.layerNorm": 65, "Ios16.linear": 193, "Ios16.matmul": 64, "Ios16.mul": 32, "Ios16.reduceArgmax": 1, "Ios16.reshape": 320, "Ios16.softmax": 32, "Stack": 1, "Transpose": 160 }
[]
3.0
0
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "hidden_embeds", "shape": "[]", "shortDescription": "Hidden states after the encoder layers", "type": "MultiArray" }, { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "pooled_outputs", "shape": "[]", "shortDescription": "The version of the `last_hidden_state` output after pooling", "type": "MultiArray" } ]
{ "iOS": "16.0", "macCatalyst": "16.0", "macOS": "13.0", "tvOS": "16.0", "watchOS": "9.0" }
OpenRAIL (https://huggingface.co/spaces/CompVis/stable-diffusion-license)
Mixed (Float16, Palettized (1 bits), Palettized (2 bits), Palettized (4 bits), Palettized (6 bits), Palettized (8 bits))
Mixed (Float16, Float32, Int32)
{ "name": "MLModelType_mlProgram" }
[ { "dataType": "Float16", "formattedType": "MultiArray (Float16 2 × 4 × 128 × 128)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "sample", "shape": "[2, 4, 128, 128]", "shortDescription": "The low resolution latent feature maps being denoised through reverse diffusion", "type": "MultiArray" }, { "dataType": "Float16", "formattedType": "MultiArray (Float16 2)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "timestep", "shape": "[2]", "shortDescription": "A value emitted by the associated scheduler object to condition the model on a given noise schedule", "type": "MultiArray" }, { "dataType": "Float16", "formattedType": "MultiArray (Float16 2 × 2048 × 1 × 77)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "encoder_hidden_states", "shape": "[2, 2048, 1, 77]", "shortDescription": "Output embeddings from the associated text_encoder model to condition to generated image on text. A maximum of 77 tokens (~40 words) are allowed. Longer text is truncated. Shorter text does not reduce computation.", "type": "MultiArray" }, { "dataType": "Float16", "formattedType": "MultiArray (Float16 12)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "time_ids", "shape": "[12]", "shortDescription": "", "type": "MultiArray" }, { "dataType": "Float16", "formattedType": "MultiArray (Float16 2 × 1280)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "text_embeds", "shape": "[2, 1280]", "shortDescription": "", "type": "MultiArray" } ]
recipe_4_50_bit_mixedpalette
predict
Please refer to the Model Card available at huggingface.co/diffusers/stable-diffusion-xl-base-1.0
7
diffusers/stable-diffusion-xl-base-1.0
Stable Diffusion generates images conditioned on text or other images as input through the diffusion process. Please refer to https://arxiv.org/abs/2112.10752 for details.
{ "com.github.apple.coremltools.source": "torch==2.0.1+cu117", "com.github.apple.coremltools.version": "7.0b1", "com.github.apple.ml-stable-diffusion.version": "1.0.0" }
{ "Concat": 14, "ExpandDims": 6, "Ios16.add": 722, "Ios16.batchNorm": 46, "Ios16.cast": 1, "Ios16.constexprLutToDense": 775, "Ios16.conv": 794, "Ios16.cos": 2, "Ios16.gelu": 70, "Ios16.matmul": 280, "Ios16.mul": 842, "Ios16.realDiv": 46, "Ios16.reduceMean": 512, "Ios16.reshape": 675, "Ios16.rsqrt": 210, "Ios16.silu": 38, "Ios16.sin": 2, "Ios16.softmax": 140, "Ios16.sqrt": 46, "Ios16.square": 46, "Ios16.sub": 256, "SliceByIndex": 4, "Split": 70, "UpsampleNearestNeighbor": 2 }
[]
3.0
0
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "noise_pred", "shape": "[]", "shortDescription": "Same shape and dtype as the `sample` input. The predicted noise to facilitate the reverse diffusion (denoising) process", "type": "MultiArray" } ]
{ "iOS": "16.0", "macCatalyst": "16.0", "macOS": "13.0", "tvOS": "16.0", "visionOS": "1.0", "watchOS": "9.0" }
OpenRAIL (https://huggingface.co/spaces/CompVis/stable-diffusion-license)
Float32
Mixed (Float32, Int32)
{ "name": "MLModelType_mlProgram" }
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32 1 × 4 × 128 × 128)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "z", "shape": "[1, 4, 128, 128]", "shortDescription": "The denoised latent embeddings from the unet model after the last step of reverse diffusion", "type": "MultiArray" } ]
Stable_Diffusion_version_diffusers_stable_diffusion_xl_base_1_0_vae_decoder
predict
Please refer to the Model Card available at huggingface.co/diffusers/stable-diffusion-xl-base-1.0
7
diffusers/stable-diffusion-xl-base-1.0
Stable Diffusion generates images conditioned on text and/or other images as input through the diffusion process. Please refer to https://arxiv.org/abs/2112.10752 for details.
{ "com.github.apple.coremltools.source": "torch==2.0.1", "com.github.apple.coremltools.version": "7.0b1" }
{ "Ios16.add": 46, "Ios16.batchNorm": 29, "Ios16.conv": 36, "Ios16.linear": 4, "Ios16.matmul": 2, "Ios16.mul": 2, "Ios16.realDiv": 30, "Ios16.reduceMean": 60, "Ios16.reshape": 65, "Ios16.silu": 29, "Ios16.softmax": 1, "Ios16.sqrt": 30, "Ios16.square": 30, "Ios16.sub": 30, "Transpose": 6, "UpsampleNearestNeighbor": 3 }
[]
3.0
0
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "image", "shape": "[]", "shortDescription": "Generated image normalized to range [-1, 1]", "type": "MultiArray" } ]
{ "iOS": "16.0", "macCatalyst": "16.0", "macOS": "13.0", "tvOS": "16.0", "watchOS": "9.0" }
OpenRAIL (https://huggingface.co/spaces/CompVis/stable-diffusion-license)
Float16
Mixed (Float16, Float32, Int32)
{ "name": "MLModelType_mlProgram" }
[ { "dataType": "Float16", "formattedType": "MultiArray (Float16 1 × 3 × 1024 × 1024)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "z", "shape": "[1, 3, 1024, 1024]", "shortDescription": "The input image to base the initial latents on normalized to range [-1, 1]", "type": "MultiArray" } ]
Stable_Diffusion_version_diffusers_stable_diffusion_xl_base_1_0_vae_encoder
predict
Please refer to the Model Card available at huggingface.co/diffusers/stable-diffusion-xl-base-1.0
7
diffusers/stable-diffusion-xl-base-1.0
Stable Diffusion generates images conditioned on text and/or other images as input through the diffusion process. Please refer to https://arxiv.org/abs/2112.10752 for details.
{ "com.github.apple.coremltools.source": "torch==2.0.1+cu117", "com.github.apple.coremltools.version": "7.0b1" }
{ "Ios16.add": 34, "Ios16.batchNorm": 21, "Ios16.cast": 1, "Ios16.conv": 28, "Ios16.linear": 4, "Ios16.matmul": 2, "Ios16.mul": 2, "Ios16.realDiv": 22, "Ios16.reduceMean": 44, "Ios16.reshape": 49, "Ios16.silu": 21, "Ios16.softmax": 1, "Ios16.sqrt": 22, "Ios16.square": 22, "Ios16.sub": 22, "Pad": 3, "Transpose": 6 }
[]
3.0
0
[ { "dataType": "Float32", "formattedType": "MultiArray (Float32)", "hasShapeFlexibility": "0", "isOptional": "0", "name": "latent", "shape": "[]", "shortDescription": "The latent embeddings from the unet model from the input image.", "type": "MultiArray" } ]
{ "iOS": "16.0", "macCatalyst": "16.0", "macOS": "13.0", "tvOS": "16.0", "watchOS": "9.0" }
OpenRAIL (https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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14447
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