wehub-resource-sync
48 lines
1.3 KiB
YAML
48 lines
1.3 KiB
YAML
cff-version: 1.2.0
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title: 'SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer'
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message: >-
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If you use this software or research, please cite it using the
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metadata from this file.
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type: misc
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authors:
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- given-names: Enze
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family-names: Xie
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- given-names: Junsong
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family-names: Chen
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- given-names: Junyu
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family-names: Chen
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- given-names: Han
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family-names: Cai
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- given-names: Haotian
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family-names: Tang
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- given-names: Yujun
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family-names: Lin
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- given-names: Zhekai
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family-names: Zhang
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- given-names: Muyang
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family-names: Li
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- given-names: Ligeng
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family-names: Zhu
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- given-names: Yao
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family-names: Lu
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- given-names: Song
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family-names: Han
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repository-code: 'https://github.com/NVlabs/Sana'
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abstract: >-
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SANA proposes an efficient linear Diffusion Transformer (DiT) for high-resolution
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image synthesis, featuring a depth-growth paradigm, model pruning techniques,
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and inference-time scaling strategies to reduce training costs while maintaining
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generation quality. SANA-Sprint also achieves one-step generation of high-resolution images
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keywords:
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- deep-learning
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- diffusion-models
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- transformer
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- image-generation
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- text-to-image
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- efficient-training
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- distillation
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license: Apache-2.0
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version: 2.0.0
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doi: 10.48550/arXiv.2410.10629
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date-released: 2024-10-16
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