Datasets:

Limbicnation
/

Images-Diffusion-Prompt-Style

license: mit
task_categories:
  - text-generation
language:
  - en
tags:
  - image-generation
  - diffusion
  - prompts
  - flux
  - stable-diffusion
pretty_name: Image Diffusion Prompt Style
size_categories:
  - n<1K
dataset_info:
  features:
    - name: style_name
      dtype: string
    - name: prompt_text
      dtype: string
    - name: negative_prompt
      dtype: string
    - name: tags
      list: string
    - name: compatible_models
      list: string
  splits:
    - name: train
      num_bytes: 505421
      num_examples: 750
  download_size: 178464
  dataset_size: 505421
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Image Diffusion Prompt Style

High-quality synthetic prompts for image diffusion models, optimized for Flux, Z Image, and Qwen.

Dataset Structure

Column	Type	Description
`style_name`	string	Short descriptive name
`prompt_text`	string	Full prompt with quality tokens
`negative_prompt`	string	Artifacts to avoid
`tags`	list	Lowercase keywords
`compatible_models`	list	Target models

Usage

from datasets import load_dataset

ds = load_dataset("Limbicnation/Images-Diffusion-Prompt-Style", split="train")
prompt = ds[0]["prompt_text"]

Aesthetic

Prompts emphasize the Limbicnation style:

Cinematic lighting
Intricate textures
Evocative atmosphere
Dramatic compositions

License

MIT