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StyleDrop: Text-to-Image Generation in Any Style introduce StyleDrop, a method that enables the synthesis of images that faithfully follow a specific style using a text-to-image model. The proposed method is extremely versatile and captures nuances and details of a user-provided style, such as color schemes, shading, design patterns, and...

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AK

530,180 subscribers

56,408 Aufrufe • vor 3 Jahren •via X (Twitter)

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5 Kommentare

Profilbild von AP
APvor 3 Jahren

Imagen about to be OP. Great work @natanielruizg !

Profilbild von 8pm
8pmvor 3 Jahren

CSS generation would save a lot of time.

Profilbild von CubanHodLer🇨🇺
CubanHodLer🇨🇺vor 3 Jahren

Why are you sharing only HG hosted papers and not Arxiv anymore? 🤔

Profilbild von 𝘓𝘶𝘪𝘴 𝘎𝘰𝘮𝘦𝘻-𝘎𝘶𝘻𝘮𝘢𝘯
𝘓𝘶𝘪𝘴 𝘎𝘰𝘮𝘦𝘻-𝘎𝘶𝘻𝘮𝘢𝘯vor 3 Jahren

So is StableDifusion dead? Is this new method the new path to go?

Profilbild von Mitchell Stooksbury
Mitchell Stooksburyvor 3 Jahren

Now I'm curious why we don't have style transfer for images that's this good yet.

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Introducing StyleDrop, a model that allows a significantly higher level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→

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Guide your visual styles with images in Google Flow. Here’s how: First, upload or generate a video using Omni 1.1 Flash (landscapes and environments work best). Then, upload or generate a color reference image that has the palette you want. Match the style: Drag both your video and reference image into your prompt and write: "Adapt this video into the same color style of this image," using the @ symbol to directly tag your reference asset. Lock the details: To keep your scene consistent, add "keep camera motion and environment the same.” Give style-transferring a spin in Google Flow!

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by the way, Atlas does text-to-image too... and it's got style
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by the way, Atlas does text-to-image too... and it's got style

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