AdamCodd/vit-nsfw-stable-diffusion
Image Classification
•
Updated
•
18
•
2
The largest dataset available from Civitai. It contains all prompts extracted from images up to May 5th, 2024, the data was sourced from scratch using my own pipeline.
The dataset underwent these specific preprocessing steps:
prompt
/negativePrompt
fields too.8ecd1fbd-3075-42e3-9005-926981297a39
changed to https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8ecd1fbd-3075-42e3-9005-926981297a39/width=512/8ecd1fbd-3075-42e3-9005-926981297a39.jpeg
)nsfw
field was recomputed as there were a lot of null, if the field nsfwLevel
> 2 then nsfw
is set to 1 else 0.url
, nsfwLevel
, nsfw
, stats
, prompt
, and negativePrompt
(much like AdamCodd/Civitai-2m-prompts).A raw branch of the dataset is available which contains the unprocessed data, including entries with missing prompts, if you want to process the dataset differently.
Total count:
Changelog:
05/15
nsfwLevel
> 1 to nsfwLevel
> 2 due to the number of false positives with a strict nsfwLevel
> 1.nsfw
field is set to 1 or 0 instead of true/false to simplify the preprocessing.If you want to support me, you can here.