Datasets:
hanruijiang
/
civitai-stable-diffusion-2.5m

Dataset card Viewer Files Community
1
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<Size: string, seed: int64, steps: int64, sampler: string, cfgScale: double, Model hash: string, Hypernet: string, Clip skip: string, Hypernet hash: string, Hypernet strength: string, Model: string, Hires upscale: string, Hires upscaler: string, Denoising strength: string, Mask blur: string, ENSD: string, Batch pos: string, Batch size: string, Face restoration: string, needsReview: string, First pass size: string, Conditional mask weight: string, Discard penultimate sigma: string, Eta: string, Hires steps: string, Aesthetic LR: string, Hires resize: string, Aesthetic text: string, Aesthetic slerp: string, Aesthetic steps: string, Aesthetic weight: string, Aesthetic embedding: string, Aesthetic slerp angle: string, Aesthetic text negative: string, Wildcard prompt: string, (perfect fingers: string, natural (hairy pussy: string, Seed resize from: string, SD upscale overlap: string, SD upscale upscaler: string, Variation seed: string, Variation seed strength: string, Used embeddings: string, X Type: string, X Values: string, Denoising strength change factor: string, Mirror Mode: string, Mirror Style: string, Mirroring Max Step Fraction: string, AddNet Enabled: string, AddNet Model 1: string, AddNet Module 1: string, AddNet Weight 1: string, AddNet Model 2: string, AddNet Module 2: string, AddNet Weight 2: string, Mimic CFG scale: string, Threshold percentile: string, Ultimate SD upscale padding: string, Ultimate SD upscale upscaler: string, Ultimate SD upscale mask_blur: string, Ultimate SD upscale tile_size: string, Y Type: string, Y Values: string, Negative Template: string, Hypernetworks: string, Hypernetworks Strengths: string, Fixed Y Values: string>
to
{'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='float64', id=None), 'Model hash': Value(dtype='string', id=None), 'Aesthetic LR': Value(dtype='string', id=None), 'Aesthetic text': Value(dtype='string', id=None), 'Aesthetic slerp': Value(dtype='string', id=None), 'Aesthetic steps': Value(dtype='string', id=None), 'First pass size': Value(dtype='string', id=None), 'Aesthetic weight': Value(dtype='string', id=None), 'Seed resize from': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None), 'Aesthetic embedding': Value(dtype='string', id=None), 'Aesthetic slerp angle': Value(dtype='string', id=None), 'Aesthetic text negative': Value(dtype='string', id=None), 'Mask blur': Value(dtype='string', id=None), 'Hypernet': Value(dtype='string', id=None), 'Face restoration': Value(dtype='string', id=None), 'Hypernet strength': Value(dtype='string', id=None), 'Batch pos': Value(dtype='string', id=None), 'Batch size': Value(dtype='string', id=None), 'Model': Value(dtype='string', id=None), 'ENSD': Value(dtype='string', id=None), 'Clip skip': Value(dtype='string', id=None), 'Used embeddings': Value(dtype='string', id=None), 'Eta': Value(dtype='string', id=None), 'Tile X': Value(dtype='string', id=None), 'Tile Y': Value(dtype='string', id=None), 'Start Tiling From Step': Value(dtype='string', id=None), 'Stop Tiling After Step': Value(dtype='string', id=None), 'modelVersionId': Value(dtype='int64', id=None), 'Wildcard prompt': Value(dtype='string', id=None), 'Denoising strength change factor': Value(dtype='string', id=None), 'Variation seed': Value(dtype='string', id=None), 'Variation seed strength': Value(dtype='string', id=None), 'Conditional mask weight': Value(dtype='string', id=None), 'needsReview': Value(dtype='string', id=None), 'SD upscale overlap': Value(dtype='string', id=None), 'SD upscale upscaler': Value(dtype='string', id=None), 'wide hips': Value(dtype='string', id=None), 'occupation': Value(dtype='string', id=None), '(small breasts': Value(dtype='string', id=None), '(huge hyperass': Value(dtype='string', id=None), 'Hypernet hash': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', id=None)}
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<Size: string, seed: int64, steps: int64, sampler: string, cfgScale: double, Model hash: string, Hypernet: string, Clip skip: string, Hypernet hash: string, Hypernet strength: string, Model: string, Hires upscale: string, Hires upscaler: string, Denoising strength: string, Mask blur: string, ENSD: string, Batch pos: string, Batch size: string, Face restoration: string, needsReview: string, First pass size: string, Conditional mask weight: string, Discard penultimate sigma: string, Eta: string, Hires steps: string, Aesthetic LR: string, Hires resize: string, Aesthetic text: string, Aesthetic slerp: string, Aesthetic steps: string, Aesthetic weight: string, Aesthetic embedding: string, Aesthetic slerp angle: string, Aesthetic text negative: string, Wildcard prompt: string, (perfect fingers: string, natural (hairy pussy: string, Seed resize from: string, SD upscale overlap: string, SD upscale upscaler: string, Variation seed: string, Variation seed strength: string, Used embeddings: string, X Type: string, X Values: string, Denoising strength change factor: string, Mirror Mode: string, Mirror Style: string, Mirroring Max Step Fraction: string, AddNet Enabled: string, AddNet Model 1: string, AddNet Module 1: string, AddNet Weight 1: string, AddNet Model 2: string, AddNet Module 2: string, AddNet Weight 2: string, Mimic CFG scale: string, Threshold percentile: string, Ultimate SD upscale padding: string, Ultimate SD upscale upscaler: string, Ultimate SD upscale mask_blur: string, Ultimate SD upscale tile_size: string, Y Type: string, Y Values: string, Negative Template: string, Hypernetworks: string, Hypernetworks Strengths: string, Fixed Y Values: string>
              to
              {'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='float64', id=None), 'Model hash': Value(dtype='string', id=None), 'Aesthetic LR': Value(dtype='string', id=None), 'Aesthetic text': Value(dtype='string', id=None), 'Aesthetic slerp': Value(dtype='string', id=None), 'Aesthetic steps': Value(dtype='string', id=None), 'First pass size': Value(dtype='string', id=None), 'Aesthetic weight': Value(dtype='string', id=None), 'Seed resize from': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None), 'Aesthetic embedding': Value(dtype='string', id=None), 'Aesthetic slerp angle': Value(dtype='string', id=None), 'Aesthetic text negative': Value(dtype='string', id=None), 'Mask blur': Value(dtype='string', id=None), 'Hypernet': Value(dtype='string', id=None), 'Face restoration': Value(dtype='string', id=None), 'Hypernet strength': Value(dtype='string', id=None), 'Batch pos': Value(dtype='string', id=None), 'Batch size': Value(dtype='string', id=None), 'Model': Value(dtype='string', id=None), 'ENSD': Value(dtype='string', id=None), 'Clip skip': Value(dtype='string', id=None), 'Used embeddings': Value(dtype='string', id=None), 'Eta': Value(dtype='string', id=None), 'Tile X': Value(dtype='string', id=None), 'Tile Y': Value(dtype='string', id=None), 'Start Tiling From Step': Value(dtype='string', id=None), 'Stop Tiling After Step': Value(dtype='string', id=None), 'modelVersionId': Value(dtype='int64', id=None), 'Wildcard prompt': Value(dtype='string', id=None), 'Denoising strength change factor': Value(dtype='string', id=None), 'Variation seed': Value(dtype='string', id=None), 'Variation seed strength': Value(dtype='string', id=None), 'Conditional mask weight': Value(dtype='string', id=None), 'needsReview': Value(dtype='string', id=None), 'SD upscale overlap': Value(dtype='string', id=None), 'SD upscale upscaler': Value(dtype='string', id=None), 'wide hips': Value(dtype='string', id=None), 'occupation': Value(dtype='string', id=None), '(small breasts': Value(dtype='string', id=None), '(huge hyperass': Value(dtype='string', id=None), 'Hypernet hash': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', 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 1529, 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 1154, 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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id
int64
url
string
hash
string
width
int64
height
int64
nsfwLevel
string
nsfw
bool
createdAt
string
postId
int64
stats
dict
meta
dict
username
string
prompt
string
negativePrompt
string
127
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2022-11-09T17:39:48.137Z
55,288
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hello142
135
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2022-11-09T18:45:04.541Z
55,309
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{ "Size": null, "seed": null, "steps": null, "sampler": null, "cfgScale": null, "Batch pos": null, "Batch size": null, "Model hash": null, "Model": null, "First pass size": null, "Denoising strength": null, "Clip skip": null, "Mask blur": null, "ENSD": null, "Face restoration": null, "Hypernet": null, "Hypernet strength": null, "Wildcard prompt": null, "Eta": null, "Variation seed": null, "Variation seed strength": null, "SD upscale overlap": null, "SD upscale upscaler": null, "Aesthetic LR": null, "Aesthetic text": null, "Aesthetic slerp": null, "Aesthetic steps": null, "Aesthetic weight": null, "Seed resize from": null, "Aesthetic embedding": null, "Aesthetic slerp angle": null, "Aesthetic text negative": null, "modelVersionId": null, "Conditional mask weight": null, "needsReview": null, "Denoising strength change factor": null, "Tile X": null, "Tile Y": null, "Start Tiling From Step": null, "Stop Tiling After Step": null, "Used embeddings": null, "wide hips": null, "occupation": null, "(small breasts": null, "(huge hyperass": null, "Hires upscale": null, "Hires upscaler": null, "Hypernet hash": null }
hello142
134
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2022-11-09T18:45:04.541Z
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{ "Size": null, "seed": null, "steps": null, "sampler": null, "cfgScale": null, "Batch pos": null, "Batch size": null, "Model hash": null, "Model": null, "First pass size": null, "Denoising strength": null, "Clip skip": null, "Mask blur": null, "ENSD": null, "Face restoration": null, "Hypernet": null, "Hypernet strength": null, "Wildcard prompt": null, "Eta": null, "Variation seed": null, "Variation seed strength": null, "SD upscale overlap": null, "SD upscale upscaler": null, "Aesthetic LR": null, "Aesthetic text": null, "Aesthetic slerp": null, "Aesthetic steps": null, "Aesthetic weight": null, "Seed resize from": null, "Aesthetic embedding": null, "Aesthetic slerp angle": null, "Aesthetic text negative": null, "modelVersionId": null, "Conditional mask weight": null, "needsReview": null, "Denoising strength change factor": null, "Tile X": null, "Tile Y": null, "Start Tiling From Step": null, "Stop Tiling After Step": null, "Used embeddings": null, "wide hips": null, "occupation": null, "(small breasts": null, "(huge hyperass": null, "Hires upscale": null, "Hires upscaler": null, "Hypernet hash": null }
hello142
138
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2022-11-09T19:01:25.549Z
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hello142
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2022-11-09T19:01:25.549Z
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hello142
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2022-11-09T19:27:02.696Z
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eppinette
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{ "Size": null, "seed": null, "steps": null, "sampler": null, "cfgScale": null, "Batch pos": null, "Batch size": null, "Model hash": null, "Model": null, "First pass size": null, "Denoising strength": null, "Clip skip": null, "Mask blur": null, "ENSD": null, "Face restoration": null, "Hypernet": null, "Hypernet strength": null, "Wildcard prompt": null, "Eta": null, "Variation seed": null, "Variation seed strength": null, "SD upscale overlap": null, "SD upscale upscaler": null, "Aesthetic LR": null, "Aesthetic text": null, "Aesthetic slerp": null, "Aesthetic steps": null, "Aesthetic weight": null, "Seed resize from": null, "Aesthetic embedding": null, "Aesthetic slerp angle": null, "Aesthetic text negative": null, "modelVersionId": null, "Conditional mask weight": null, "needsReview": null, "Denoising strength change factor": null, "Tile X": null, "Tile Y": null, "Start Tiling From Step": null, "Stop Tiling After Step": null, "Used embeddings": null, "wide hips": null, "occupation": null, "(small breasts": null, "(huge hyperass": null, "Hires upscale": null, "Hires upscaler": null, "Hypernet hash": null }
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{ "Size": null, "seed": null, "steps": null, "sampler": null, "cfgScale": null, "Batch pos": null, "Batch size": null, "Model hash": null, "Model": null, "First pass size": null, "Denoising strength": null, "Clip skip": null, "Mask blur": null, "ENSD": null, "Face restoration": null, "Hypernet": null, "Hypernet strength": null, "Wildcard prompt": null, "Eta": null, "Variation seed": null, "Variation seed strength": null, "SD upscale overlap": null, "SD upscale upscaler": null, "Aesthetic LR": null, "Aesthetic text": null, "Aesthetic slerp": null, "Aesthetic steps": null, "Aesthetic weight": null, "Seed resize from": null, "Aesthetic embedding": null, "Aesthetic slerp angle": null, "Aesthetic text negative": null, "modelVersionId": null, "Conditional mask weight": null, "needsReview": null, "Denoising strength change factor": null, "Tile X": null, "Tile Y": null, "Start Tiling From Step": null, "Stop Tiling After Step": null, "Used embeddings": null, "wide hips": null, "occupation": null, "(small breasts": null, "(huge hyperass": null, "Hires upscale": null, "Hires upscaler": null, "Hypernet hash": null }
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dal_mac
End of preview.