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  1. Github
    https://github.com/lucidrains/DALLE2-pytorch

    GitHub - lucidrains/DALLE2-pytorch: Implementation of DALL-E 2, …

    • Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch.
      Yannic Kilcher summary | AssemblyAI explainer… 展开

    Status

    •A research group has used the code in this repository to train a functional diffusion prior for their CLIP generations. Will share their work once they release their preprint. This, and Katherine's … 展开

    Github
    Pre-Trained Models

    •LAION is training prior models. Checkpoints are available on 🤗huggingface and the training statistics are available on 🐝WANDB.
    •Decoder - In-pr… 展开

    Github
    Appreciation

    This library would not have gotten to this working state without the help of
    •Zion for the distributed training code for the diffusion prior
    •Aidan for the di… 展开

    Github
    Usage

    To train DALLE-2 is a 3 step process, with the training of CLIP being the most important
    To train CLIP, you can either use x-clip package, or join … 展开

    Github
    Training on Preprocessed CLIP Embeddings

    It is likely, when scaling up, that you would first preprocess your images and text into corresponding embeddings before training the prior network. You can do so easily by simply passing i… 展开

    Github
    反馈
    目录
    Status
    Pre-Trained Models
    Appreciation
    Usage
    Training on Preprocessed CLIP Embeddings
     
  1. OpenAI
    https://openai.com/index/dall-e-2

    DALL·E 2 - OpenAI

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  3. CSDN博客
    https://blog.csdn.net/m0_56569131/articl…

    AIGC学习笔记——DALL-E2详解+测试 - CSDN博客

    2024年2月24日 · dall-e 2 是一种基于语言的人工智能图像生成器，可以根据文本提示创建高质量的图像和艺术作品。它使用clip、先验和 unclip 模型来生成图像，其质量取决于文本提示的具体性。

  4. CSDN博客
    https://blog.csdn.net/qq_56591814/articl…

    李沐论文精读系列五：DALL·E2（生成模型串讲，从GAN…

    2022年11月8日 · 相比 dall·e ，dall·e2 可以生成更真实和更准确的画像：综合文本描述中给出的概念、属性与风格等三个元素，生成「现实主义」图像与艺术作品！分辨率更是提高了4倍！

  5. Github
    https://github.com/marinone94/divedeep-DALLE2-pytorch

    GitHub - marinone94/divedeep-DALLE2-pytorch: DIVE DEEP into ...

  7. Github
    https://github.com/knowrohit/DALLE-open_source

    GitHub - knowrohit/DALLE-open_source: Implementation of DALL …

  8. 知乎专栏
    https://zhuanlan.zhihu.com/p/683764957

    【论文精读】DALL·E2 - 知乎 - 知乎专栏

  9. 知乎专栏
    https://zhuanlan.zhihu.com/p/526438544

    DALL·E 2 解读 | 结合预训练CLIP和扩散模型实现文本-图 …

    在DALL·E 2 模型中，作者团队尝试了两种先验模型：自回归式Autoregressive (AR) prior 和扩散模型Diffusion prior [1]。 实验效果上发现两种模型的性能相似，而因为扩散模型效率较高，因此最终选择了扩散模型作为prior模块。

  10. arXiv.org
    https://arxiv.org/abs/2204.13807

    [2204.13807] A very preliminary analysis of DALL-E 2 - arXiv.org

  11. MDPI
    https://www.mdpi.com/2076-3417/12/22/…

    Communication in Human–AI Co-Creation: Perceptual …

    2022年11月8日 · The main novelty of DALL-E 2 seems to be an extra layer of indirection with the prior network, which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out …