--- 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.