--- license: apache-2.0 --- # Model Weights for ControlAR
This model contains several checkpoints for [ControlAR](https://arxiv.org/abs/2410.02705) | AR Model | Type | Control | Arbitrary-Resolution | Checkpoint | | :--------| :--: | :-----: | :------------------: | :--------: | | [LlamaGen-XL](https://github.com/FoundationVision/LlamaGen#-text-conditional-image-generation) | t2i | Canny Edge | ✅ | [ckpt](https://huggingface.co/wondervictor/ControlAR/blob/main/canny_MR.safetensors) | | [LlamaGen-XL](https://github.com/FoundationVision/LlamaGen#-text-conditional-image-generation) | t2i | Depth | ✅ | [ckpt](https://huggingface.co/wondervictor/ControlAR/blob/main/depth_MR.safetensors) | | [LlamaGen-XL](https://github.com/FoundationVision/LlamaGen#-text-conditional-image-generation) | t2i | HED Edge | ❌ | [ckpt](https://huggingface.co/wondervictor/ControlAR/blob/main/hed.safetensors) | | [LlamaGen-XL](https://github.com/FoundationVision/LlamaGen#-text-conditional-image-generation) | t2i | Seg. Mask | ❌ | [ckpt](https://huggingface.co/wondervictor/ControlAR/blob/main/seg_cocostuff.safetensors) | ## Citation If you find ControlAR is useful in your research or applications, please consider giving us a star 🌟 and citing it by the following BibTeX entry: ```bibtex @article{li2024controlar, title={ControlAR: Controllable Image Generation with Autoregressive Models}, author={Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang}, year={2024}, eprint={2410.02705}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2410.02705}, } ```