tost.json

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        "title": "SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis",
        "author": "Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach",
        "description": "We present SDXL, a latent diffusion model for text-to-image synthesis. Compared to previous versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone: The increase of model parameters is mainly due to more attention blocks and a larger cross-attention context as SDXL uses a second text encoder. We design multiple novel conditioning schemes and train SDXL on multiple aspect ratios. We also introduce a refinement model which is used to improve the visual fidelity of samples generated by SDXL using a post-hoc image-to-image technique. We demonstrate that SDXL shows drastically improved performance compared the previous versions of Stable Diffusion and achieves results competitive with those of black-box state-of-the-art image generators. In the spirit of promoting open research and fostering transparency in large model training and evaluation",
        "code": "https://github.com/Stability-AI/generative-models",
        "paper": "https://arxiv.org/abs/2307.01952",
        "page": "https://stability.ai/news/stable-diffusion-sdxl-1-announcement",
        "jupyter": "https://github.com/camenduru/sdxl-colab",
        "post": "https://twitter.com/camenduru/status/1697317138116034778",
        "tags": [
            "Text to Image"
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