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README.md
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In this demo, we train a model similar to <u><a target="_blank" href="https://openai.com/blog/dall-e/">OpenAI DALL-E</a></u> —
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a Transformer "language model" that generates images from text descriptions.
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the world's largest openly available image-text-pair dataset with 400 million samples. Our model is based on
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the <u><a target="_blank" href="https://github.com/lucidrains/DALLE-pytorch">dalle‑pytorch</a></u> implementation
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by <u><a target="_blank" href="https://github.com/lucidrains">Phil Wang</a></u> with a few tweaks to make it communication-efficient.
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<p class="mb-2">
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In this demo, we train a model similar to <u><a target="_blank" href="https://openai.com/blog/dall-e/">OpenAI DALL-E</a></u> —
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a Transformer "language model" that generates images from text descriptions.
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Training happens collaboratively — volunteers from all over the Internet contribute to the training using hardware available to them.
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We use <u><a target="_blank" href="https://laion.ai/laion-400-open-dataset/">LAION-400M</a></u>,
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the world's largest openly available image-text-pair dataset with 400 million samples. Our model is based on
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the <u><a target="_blank" href="https://github.com/lucidrains/DALLE-pytorch">dalle‑pytorch</a></u> implementation
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by <u><a target="_blank" href="https://github.com/lucidrains">Phil Wang</a></u> with a few tweaks to make it communication-efficient.
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