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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 | U9Hwum%10K9t~Ba#02V@9vs.VMNJ%eWoItso | 512 | 512 | None | false | 2022-11-09T17:39:48.137Z | 55,288 | {
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} | {
"Size": null,
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"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,
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"SD upscale overlap": null,
"SD upscale upscaler": null,
"Aesthetic LR": null,
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"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 | |||
135 | ULF~Hy_N?u-:xv9a%1-oIUozV@R*RjofoLNG | 512 | 512 | None | false | 2022-11-09T18:45:04.541Z | 55,309 | {
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} | {
"Size": null,
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"Batch pos": null,
"Batch size": null,
"Model hash": null,
"Model": null,
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"Denoising strength": null,
"Clip skip": null,
"Mask blur": null,
"ENSD": null,
"Face restoration": null,
"Hypernet": null,
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"Wildcard prompt": null,
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"Variation seed": null,
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"SD upscale overlap": null,
"SD upscale upscaler": null,
"Aesthetic LR": null,
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"modelVersionId": null,
"Conditional mask weight": null,
"needsReview": null,
"Denoising strength change factor": null,
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"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,
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"Hypernet hash": null
} | hello142 | |||
134 | UDGIAm00ISoKtn={RiWB00~V%Nt7%19uRjR+ | 512 | 512 | None | false | 2022-11-09T18:45:04.541Z | 55,309 | {
"cryCount": 0,
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"likeCount": 1,
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} | {
"Size": null,
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"Used embeddings": null,
"wide hips": null,
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"(small breasts": null,
"(huge hyperass": null,
"Hires upscale": null,
"Hires upscaler": null,
"Hypernet hash": null
} | hello142 | |||
138 | ULGHPm~D0_0_I.xaM|sA5P9t-VbvV?s.NHxG | 512 | 512 | None | false | 2022-11-09T19:01:25.549Z | 55,310 | {
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"Size": null,
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"Batch pos": null,
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"(small breasts": null,
"(huge hyperass": null,
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"Hires upscaler": null,
"Hypernet hash": null
} | hello142 | |||
137 | UNF=dvR5ysIo^lR*9ZaKkWIoni%2RjWBNFoz | 512 | 512 | None | false | 2022-11-09T19:01:25.549Z | 55,310 | {
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} | {
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"Model": null,
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"ENSD": null,
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"SD upscale overlap": null,
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"Denoising strength change factor": null,
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"Used embeddings": null,
"wide hips": null,
"occupation": null,
"(small breasts": null,
"(huge hyperass": null,
"Hires upscale": null,
"Hires upscaler": null,
"Hypernet hash": null
} | hello142 | |||
145 | U8Gl*yKuBD?w%hT{IUL#Z#H@00$fS8H=xt-; | 640 | 640 | None | false | 2022-11-09T19:27:02.696Z | 55,928 | {
"cryCount": 0,
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} | {
"Size": null,
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"SD upscale overlap": null,
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"Aesthetic LR": null,
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"Used embeddings": null,
"wide hips": null,
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"(small breasts": null,
"(huge hyperass": null,
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"Hypernet hash": null
} | eppinette | |||
148 | UMDTV3|_U]RoEwM_R4b_^5#stQWBITX4x[xH | 640 | 640 | None | false | 2022-11-09T19:27:02.696Z | 54,901 | {
"cryCount": 0,
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"likeCount": 1,
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"heartCount": 1,
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} | {
"Size": null,
"seed": null,
"steps": null,
"sampler": null,
"cfgScale": null,
"Batch pos": null,
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"Model": null,
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"Clip skip": null,
"Mask blur": null,
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"Face restoration": null,
"Hypernet": null,
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"Eta": null,
"Variation seed": null,
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"SD upscale overlap": null,
"SD upscale upscaler": null,
"Aesthetic LR": null,
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"Used embeddings": null,
"wide hips": null,
"occupation": null,
"(small breasts": null,
"(huge hyperass": null,
"Hires upscale": null,
"Hires upscaler": null,
"Hypernet hash": null
} | eppinette | |||
147 | UEGI#,1aT6.R9H^q+~_2G3~o~n01-g-.Rj9v | 640 | 640 | None | false | 2022-11-09T19:27:02.696Z | 54,901 | {
"cryCount": 0,
"laughCount": 0,
"likeCount": 1,
"dislikeCount": 0,
"heartCount": 1,
"commentCount": 0
} | {
"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,
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"Aesthetic embedding": null,
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"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
} | eppinette | |||
146 | UfNAYgIU~q%M?utQxuxuW-tQoLf6xuoLR*M{ | 768 | 512 | None | false | 2022-11-09T19:27:02.696Z | 54,901 | {
"cryCount": 0,
"laughCount": 0,
"likeCount": 1,
"dislikeCount": 0,
"heartCount": 1,
"commentCount": 0
} | {
"Size": null,
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254 | U68X,{yEt6.8W7?vx^IUE9EgS5nhu6IoM{x] | 2,048 | 1,779 | None | false | 2022-11-10T18:05:03.312Z | 56,008 | {
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} | dal_mac |
End of preview.
inspired by thefcraft/civitai-stable-diffusion-337k. collected using civitai api to get all prompts.
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