Datasets:
| 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 | |