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| title: UniAR | |
| emoji: 🎨 | |
| colorFrom: gray | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.47.1 | |
| app_file: app.py | |
| short_description: Unified AR model for image understanding & generation | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| # UniAR Demo | |
| Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer. | |
| This Space demonstrates **UniAR** (ShareLab-SII/UniAR-RL), a single Transformer | |
| that handles both: | |
| - **Image Understanding** — visual question answering about an input image | |
| - **Image Generation** — text-to-image synthesis via autoregressive visual token prediction | |
| The model uses a shared discrete visual tokenizer (Binary Spherical Quantization) | |
| as the bridge between understanding and generation, enabling a shared context | |
| where the model can directly interpret its own generated visual tokens. | |
| Paper: [arXiv:2606.18249](https://arxiv.org/abs/2606.18249) · | |
| Model: [ShareLab-SII/UniAR-RL](https://huggingface.co/ShareLab-SII/UniAR-RL) · | |
| Code: [github.com/ShareLab-SII/UniAR](https://github.com/ShareLab-SII/UniAR) |