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app.py
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@@ -523,7 +523,7 @@ if True:
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The performance of Text2Image is largely dependent on text prompts.
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In Prompt-Free Diffusion, no prompt is needed, just a reference images!
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At the core of Prompt-Free Diffusion is an image-only semantic context encoder (SeeCoder).
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SeeCoder is reusable to
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<a href="https://github.com/SHI-Labs/Prompt-Free-Diffusion">[Github]</a> <a href="https://arxiv.org/abs/2305.16223">[arXiv]</a>
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</p>
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</div>
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The performance of Text2Image is largely dependent on text prompts.
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In Prompt-Free Diffusion, no prompt is needed, just a reference images!
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At the core of Prompt-Free Diffusion is an image-only semantic context encoder (SeeCoder).
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SeeCoder is reusable to most CLIP-based T2I models: just drop in and replace CLIP, then you will create your own prompt-free diffusion.
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<a href="https://github.com/SHI-Labs/Prompt-Free-Diffusion">[Github]</a> <a href="https://arxiv.org/abs/2305.16223">[arXiv]</a>
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</p>
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</div>
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