front view. FULL BODY IMAGE, CINEMATIC LIGHTING, Beautiful RUSSIAN woman with perfect body, RED hair bun tied behind her head, very messy bun, TANNED skin, GREEN EYES. ,looking at the camera .big black and cooper ANGEL wings . bare feet. she IS COVERED BY AN OLD AND ROTATED DARK BLUE TUNIC WITH A HOOD THAT COVERS HER HEAD, HOLDING IN ONE HAND a COPPER COLOR snake with a detailed head coiled around THE NECK, THE BACKGROUND IS A SURREAL BLACK AND BLUE FOREST,

---
language:
- en
license: mit
size_categories:
- 1M<n<10M
task_categories:
- image-to-image
- text-classification
- text-to-image
pretty_name: stable diffusion prompts
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: url
    dtype: string
  - name: prompt
    dtype: string
  - name: negative_prompt
    dtype: string
  - name: size
    dtype: string
  - name: model
    dtype: string
  - name: stats
    struct:
    - name: commentCount
      dtype: int64
    - name: cryCount
      dtype: int64
    - name: dislikeCount
      dtype: int64
    - name: heartCount
      dtype: int64
    - name: laughCount
      dtype: int64
    - name: likeCount
      dtype: int64
  - name: nsfw_label
    dtype: string
  - name: nsfw_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 877345095
    num_examples: 896874
  download_size: 216888972
  dataset_size: 877345095
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- not-for-all-audiences
- nsfw
- uncensored
- art
- stable diffusion
---
# Dataset Card for "stable-diffusion-prompts-stats-full-uncensored"

## Not SAFE for public - Definately Unfiltered with URL links being rendered

This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart. 
Thanks to Civitai.com for all the models, building a playground, allowing fine tuning of models, and generally being a good influence on model building and generation.

A reasonable attempt was made to tag unsafe prompts by adding a label column for 'NSFW' and 'SFW', with additional manual filtering, as well as adding a score column generated by a machine model. 

The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts and negative prompts.

This could be for:
- semantic evaluation (see stats column)
- prompt quality
- effective prompting
- prompt alignment or misalignment
- statistical research on prompts and categories
- popularity of image generation approaches
- mimimalism prompts with certain models
- matching generated prompts to images for LLAVA purposes
- mimimizing prompts for better context usage
- social research on interest level and creative approaches
- modeling based on prompts for automating prompt generation strategy
- modeling of categorical interest and similarity
- modeling of evolution of prompts based on model versioning

A seperate upload includes only prompts, negative prompts, and model name for brevity, squeamishness, and research purposes.