| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-to-image |
| - image-to-image |
| language: |
| - en |
| tags: |
| - 3d-animation |
| - cinematic |
| - stylized |
| - synthetic |
| - image-captioning |
| - lora |
| - solricks |
| pretty_name: 3D Animation Style |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-00000-of-00001.parquet |
| --- |
| |
| # 3D Animation Style |
|
|
| A curated collection of **54 high-resolution synthetic images** by **SOLRICKS**, designed around a warm, cinematic 3D animation aesthetic. The dataset combines richly lit environments, fantasy interiors, stylized animal characters and expressive human characters. |
|
|
| ## Dataset details |
|
|
| - **Images:** 54 PNG files |
| - **Resolution:** 50 images at 1254×1254 and 4 images at 1536×1024 |
| - **Captions:** English, manually curated |
| - **Trigger token:** `3dsrx` |
| - **Columns:** `image`, `text` |
| - **Content:** environments, interiors, animal characters and human characters |
| - **Data origin:** synthetically generated and curated by SOLRICKS |
|
|
| ## Repository structure |
|
|
| ```text |
| 3D-Animation-Style/ |
| ├── README.md |
| ├── data/ |
| │ └── train-00000-of-00001.parquet |
| ├── metadata.csv |
| └── train.zip |
| ├── 0001.png |
| └── ... 0054.png |
| ``` |
|
|
| The Image Parquet file powers the Dataset Viewer with compact thumbnails and visible `text` captions. The `train.zip` and `metadata.csv` files provide the same source dataset in ImageFolder format for direct download and LoRA training workflows. |
|
|
| ## Loading the dataset |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("SOLRICKS/3D-Animation-Style", split="train") |
| print(dataset[0]["image"]) |
| print(dataset[0]["text"]) |
| ``` |
|
|
| ## Intended uses |
|
|
| - Training or fine-tuning 3D animation style LoRAs |
| - Text-to-image and image-to-image experimentation |
| - Image-captioning and visual style research |
| - Creative concept development and reference-driven workflows |
|
|
| ## Limitations |
|
|
| This is a small, curated synthetic dataset and does not represent the full diversity of real-world subjects or visual styles. Generated scenes may contain minor stylization artifacts, simplified anatomy or imperfect decorative text. Human characters are fictional and are not intended to represent real people. |
|
|
| ## License |
|
|
| Released under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Attribution to **SOLRICKS** is required when redistributing or adapting the dataset. |
|
|
