
# Stable Diffusion Prompts Dataset

The Stable Diffusion Prompts Dataset is a collection of prompts designed to generate art-style prompts for the Stable Diffusion Model. This dataset provides prompts for generating art-related descriptions using a specific art style as the label.

## Dataset Details

- Dataset Name: Stable Diffusion Prompts Dataset
- Number of Prompts: 5000
- Labels: Art Style Names

## Dataset Structure

The dataset is provided in a CSV file format with the following structure:

| Prompt                                  | Label         |
| --------------------------------------- | ------------- |
| A [fantasy_art_style] illustration...    | fantasy_style |
| A [impressionist_art_style] painting... | impressionist |
| ...                                     | ...           |

The `Prompt` column contains the generated prompts, while the `Label` column corresponds to the art style name associated with each prompt.

## Loading the Dataset

You can load the Stable Diffusion Prompts Dataset using the `load_dataset` function from the Hugging Face Datasets library. Here's an example:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset('Falah/stable_diffusion_prompts',split="train")

# Access the prompts and labels
prompts = dataset['Prompt']
labels = dataset['Label']
```

## Usage

The Stable Diffusion Prompts Dataset can be used as training data for the Stable Diffusion Model or any other language generation model. It enables the model to learn and generate prompts related to different art styles.

## Citation

If you use this dataset in your research or any other work, please consider citing it as:

```
@dataset{stable_diffusion_prompts,
  author = {Falah.G.Salieh},
  title = {Stable Diffusion Prompts Dataset},
  year = {2023},
  publisher = {Hugging Face},
  version = {1.0},
  url = {https://huggingface.co/datasets/Falah/stable_diffusion_prompts}
}
```

## License

The Stable Diffusion Prompts Dataset is provided under the [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).

## Acknowledgements

We would like to acknowledge the contributors and authors of the original prompts dataset used for creating this Stable Diffusion Prompts Dataset.
```


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{"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 828496, "num_examples": 5000}], "download_size": 213345, "dataset_size": 828496}}
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Stable Diffusion Prompts Dataset
================================


The Stable Diffusion Prompts Dataset is a collection of prompts designed to generate art-style prompts for the Stable Diffusion Model. This dataset provides prompts for generating art-related descriptions using a specific art style as the label.


Dataset Details
---------------


* Dataset Name: Stable Diffusion Prompts Dataset
* Number of Prompts: 5000
* Labels: Art Style Names


Dataset Structure
-----------------


The dataset is provided in a CSV file format with the following structure:



The 'Prompt' column contains the generated prompts, while the 'Label' column corresponds to the art style name associated with each prompt.


Loading the Dataset
-------------------


You can load the Stable Diffusion Prompts Dataset using the 'load\_dataset' function from the Hugging Face Datasets library. Here's an example:


Usage
-----


The Stable Diffusion Prompts Dataset can be used as training data for the Stable Diffusion Model or any other language generation model. It enables the model to learn and generate prompts related to different art styles.


If you use this dataset in your research or any other work, please consider citing it as:


License
-------


The Stable Diffusion Prompts Dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International License.


Acknowledgements
----------------


We would like to acknowledge the contributors and authors of the original prompts dataset used for creating this Stable Diffusion Prompts Dataset.
'''



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#region-us 

passage: TAGS
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