Detailed explanation of how to create a text-to-image model from scratch. [R]
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Jasper Research 发布了一本详细的指南，解释了如何从头开始构建文本到图像模型。该指南包含一个庞大的 100M 图像数据集，即 Monet 数据集，以及一个带有小型模型的代码库。这些资源旨在帮助开发者从零开始训练文本到图像模型，为他们提供了实现自己模型所需的工具和数据。
Jasper Research just released a cookbook on how to build a text-to-image model from scratch.
It shares the full reasoning and intermediate results, making it ideal if you want to deep-dive into text-to-image models, or if you are curious about how frontier labs build them.
The cookbook also includes a 100M-image dataset and a codebase with a tiny model, so you can train a text-to-image model from scratch.
Here are the links:
Cookbook: https://huggingface.co/spaces/jasperai/t2i-technical-interactive-report
nano t2i: https://github.com/gojasper/nano-t2i
Monet Dataset: https://huggingface.co/datasets/jasperai/monet