| --- |
| pretty_name: 32x32 Pixel Icon Dataset (Z-Image-Turbo) |
| tags: |
| - image |
| - pixel-art |
| - synthetic |
| - diffusion |
| task_categories: |
| - unconditional-image-generation |
| - text-to-image |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 32x32 Pixel Icon Dataset |
|
|
| 1059 synthetic 32x32 RGB icon images generated with |
| [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) (zimage-turbo), |
| built for training a from-scratch diffusion pipeline |
| (normalize -> add noise -> train -> predict noise -> sample). |
|
|
| > **License**: TODO -- set before publishing. Check the license of the |
| > generating model (Tongyi-MAI/Z-Image-Turbo) and this repo's own terms for any |
| > restrictions that apply to the generated images before choosing a license here. |
|
|
| ## Generation |
|
|
| Images were rendered at 512px and downsampled to |
| 32px with a progressive Lanczos pipeline (halving each |
| step, never more than 2x per call) followed by a light unsharp mask |
| (sharpen=0.6) to recover edge definition. |
|
|
| Quality filtering: |
| - **degenerate filter**: drops flat/blank/over- or under-exposed outputs |
| (min_colors=10, min_lum_std=10) |
| - **perceptual dedup**: dhash (dhash_8x9, distance<4) |
| within each (subject, style) group removes near-duplicates |
|
|
| ## Stats |
|
|
| - prompt combos: 232 |
| - attempted: 1160 |
| - kept: 1059 |
| - filtered (degenerate): 1 |
| - filtered (duplicate): 100 |
| - generation failures: 0 |
|
|
| Categories: |
|
|
| - **animal**: 12 subjects |
| - **vehicle**: 8 subjects |
| - **object**: 10 subjects |
| - **food**: 7 subjects |
| - **nature**: 8 subjects |
| - **building**: 5 subjects |
| - **character**: 8 subjects |
|
|
| ## Structure |
|
|
| Standard HuggingFace `imagefolder` layout -- images and `metadata.jsonl` share |
| this directory, keyed by `file_name`: |
|
|
| ``` |
| <file_name>.png |
| metadata.jsonl # file_name, prompt, category, subject, style, seed, gen_size, dhash, metrics |
| manifest.json # dataset-level generation params (not read by the loader) |
| ``` |
|
|
| Load with: |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("imagefolder", data_dir=".") |
| ``` |
|
|
| Each `metadata.jsonl` record also carries per-image `metrics` (colors, |
| luminance std, edge density) captured at generation time. |
|
|
