Datasets:
File size: 1,455 Bytes
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---
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
```python
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
|