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Bookmark or Share- [2212.09748] Scalable Diffusion Models with Transformers - arXiv VanityWe introduce Diffusion Transformers (DiTs), a simple transformer-based backbone for diffusion models that outperforms prior U-Net models and inherits the excellent scaling properties of the transformer model class.
- Scalable Diffusion Models with Transformers (DiT) - GitHubWe train latent diffusion models, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our Diffusion Transformers (DiTs) through the lens of forward pass complexity as measured by Gflops.
- Diffusion Transformer Explained. Exploring the architecture that ...Scalable Diffusion Models with Transformers We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of…
- [2212.09748] Scalable Diffusion Models with Transformers - arXiv.orgWe train latent diffusion models of images, replacing the commonly-used U-Net backbone with a transformer that operates on latent patches. We analyze the scalability of our Diffusion Transformers (DiTs) through the lens of forward pass complexity as measured by Gflops.
- [2312.04557] Delving Deep into Diffusion Transformers for Image and ...To address these limitations, our research conducts a thorough investigation of transformer-based T2I diffusion models, focusing specifically on text conditioning approaches and assessing the scalability of the transformer architecture by expanding GenTron to more than 3 billion parameters.
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