| --- |
| license: mit |
| task_categories: |
| - text-to-image |
| - image-to-text |
| tags: |
| - comfyui |
| - stable-diffusion |
| - prompts |
| - vision |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: comfyui_prompt |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 886307.0 |
| num_examples: 1 |
| download_size: 892784 |
| dataset_size: 886307.0 |
| --- |
| |
| # ComfyUI Vision-to-Prompt Dataset |
|
|
| This dataset contains raw images paired with exceptionally detailed prompts optimized for text-to-image generation in ComfyUI and Stable Diffusion. |
|
|
| The prompts were generated using Llama 3.2 Vision by meticulously analyzing the core subjects, art styles, lighting, and camera composition of the original images. |
|
|
| ## Dataset Structure |
|
|
| This dataset uses the standard Hugging Face `ImageFolder` format: |
| * **Images** are stored in the `data/` directory. |
| * **Prompts** are linked to the images via the `data/metadata.jsonl` file. |
|
|
| Because of this structure, you can view the images and their corresponding prompts side-by-side in the Dataset Viewer at the top of this page. |
|
|
