Instructions to use LanguageBind/UniWorld-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- univa
How to use LanguageBind/UniWorld-V1 with univa:
# Follow installation instructions at https://github.com/PKU-YuanGroup/UniWorld-V1 from univa.models.qwen2p5vl.modeling_univa_qwen2p5vl import UnivaQwen2p5VLForConditionalGeneration model = UnivaQwen2p5VLForConditionalGeneration.from_pretrained( "LanguageBind/UniWorld-V1", torch_dtype=torch.bfloat16, attn_implementation="flash_attention_2", ).to("cuda") processor = AutoProcessor.from_pretrained("LanguageBind/UniWorld-V1") - Notebooks
- Google Colab
- Kaggle
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README.md
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<img src="https://contrib.rocks/image?repo=PKU-YuanGroup/UniWorld-V1" />
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<img src="https://contrib.rocks/image?repo=PKU-YuanGroup/UniWorld-V1" />
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This model is presented in the paper: [UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation](https://huggingface.co/papers/2506.03147)
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