metadata
annotations_creators:
- no-annotation
language_creators:
- thefcraft
language:
- en
pretty_name: civitai-stable-diffusion-337k
size_categories:
- 1M<n<10M
source_datasets:
- civitai
###转载thefcraft/civitai-stable-diffusion-337k nsfw检测数据集
How to Use
from datasets import load_dataset
dataset = load_dataset("thefcraft/civitai-stable-diffusion-337k")
print(dataset['train'][0])
download images
download zip files from images dir
from zipfile import ZipFile
with ZipFile("filename.zip", 'r') as zObject: zObject.extractall()
Dataset Summary
dataset:- civitai-stable-diffusion-337k this dataset contains 337k civitai images url with prompts etc. i use civitai api to get all prompts. project:- https://github.com/thefcraft/nsfw-prompt-detection-sd I train a model on this dataset
DATA STRUCTURE for othertype/civitai.json:-
'items':[
{'id': 100657,
'url': 'https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2338276a-87f7-4a1e-f92a-776a18ee4200/width=768/2338276a-87f7-4a1e-f92a-776a18ee4200.jpeg',
'hash': 'U5Exz_00.8D$t89Z%M0100~VD*RktQxaIU~p',
'width': 768,
'height': 1368,
'nsfw': True,
'createdAt': '2023-02-14T10:05:11.498Z',
'postId': 60841,
'stats': {'cryCount': 0,
'laughCount': 0,
'likeCount': 26,
'dislikeCount': 0,
'heartCount': 50,
'commentCount': 4},
'meta': {'ENSD': '31337',
'Size': '512x912',
'seed': 3994946333,
'Model': 'AbyssOrangeMix2_sfw',
'steps': 20,
'prompt': '<lora:hiqcg_body-epoch-000004:0.5>, <lora:hiqcg_face-epoch-000004:0.4>, hiqcgbody, hiqcgface, 1girl, full body, standing, \ndetailed skin texture, detailed cloth texture, beautiful detailed face,\nmasterpiece, best quality, ultra detailed, 8k, intricate details,',
'sampler': 'DPM++ 2M Karras',
'cfgScale': 7,
'Clip skip': '2',
'resources': [{'hash': '038ba203d8',
'name': 'AbyssOrangeMix2_sfw',
'type': 'model'}],
'Model hash': '038ba203d8',
'Hires upscale': '1.5',
'Hires upscaler': 'Latent',
'negativePrompt': 'EasyNegative, extra fingers,fewer fingers, multiple girls, multiple views,',
'Denoising strength': '0.6'},
'username': 'NeoClassicalRibbon'},
{..},
..],
'metadata':{'totalItems': 327145}
}