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Abstract

g.png"><figcaption>Screenshot from zoo.replicate.dev</figcaption></figure><p id="bfc7">Or the incredible results of <a href="https://generativeai.pub/introducing-kandinsky-2-1-stunning-open-source-ai-image-generation-model-baea07598279">Kandinsky</a> (an open-source model) which is reminiscent of old-school <a href="https://readmedium.com/midjourneys-new-describe-feature-makes-you-a-prompt-genius-e906ef12e86e">Midjourney</a> images in terms of composition, but more like <a href="https://readmedium.com/the-midjourney-cheat-sheet-v5-54b5fd92d2da">V4</a> in terms of quality.</p><figure id="cde3"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*FlHE5H04sHyiOlQGC5feiw.png"><figcaption>Screenshot from zoo.replicate.dev</figcaption></figure><p id="104b">Another interesting choice here is Material Diffusion, a Stable Diffusion fork for generating tileable outputs using the SD v1.5 model:</p><figure id="9ebb"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*cTHUkJIhHFpMljS6e7kOIA.png"><figcaption></figcaption></figure><figure id="7947"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*kh_VWJaA3Z8WfLY-OU9-PA.png"><figcaption>Screenshot from zoo.replicate.dev</figcaption></figure><h2 id="2ed8">Download</h2><p id="a675">As easy as it gets: click on any image to find a download link:</p><figure id="6339"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*2RSxHEjKe8EtP00bEeUh7w.png"><figcaption>Screenshot from zoo.replicate.dev</figcaption></figure><h2 id="daf9">Further Explorations</h2><p id="52fc">You can use ZOO to explore prompt variations until you find an interpretation you like, and then switch to another interface that allows further manipulation of parameters, options, and seed values.</p><p id="aff2">For example, here you will find Kandinsky and Stable Diffusion workspaces:</p><div id="6378" class="link-block"> <a href="https://generativeai.pub/introducing-kandinsky-2-1-stunning-open-source-ai-image-generation-model-baea07598279"> <div> <div> <h2>Introducing Kandinsky 2.1: Stunning Open-Source AI Image Generation Model</h2>

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Everything All At Once: ZOO Lets You Use Stable Diffusion, DALL-E, Kandinsky, etc … Simultaneously 🤯

Exploring six different image generation models all at once

Screenshot from zoo.replicate.dev

If you’re into AI image generation with tools like Midjourney and Stable Diffusion you will love this: Enter a single prompt and have six different models show their interpretations!

You’ll get results from:

  • Stable Diffusion 2.1
  • Stable Diffusion 1.5
  • Kandinsky
  • Deepfloyd
  • DALL-E
  • Material Diffusion

Here’s how it works:

ZOO: One Prompt To Rule Them All

Using ZOO is straightforward:

You will get a side-by-side view of the results.

Screenshot from zoo.replicate.dev

Comparison, Download & Further Exploration

It is super insightful to see the different prompt interpretations all at once. For example the direct comparison of Stable Diffusion models 2.1 and 1.5:

Screenshot from zoo.replicate.dev

Or the incredible results of Kandinsky (an open-source model) which is reminiscent of old-school Midjourney images in terms of composition, but more like V4 in terms of quality.

Screenshot from zoo.replicate.dev

Another interesting choice here is Material Diffusion, a Stable Diffusion fork for generating tileable outputs using the SD v1.5 model:

Screenshot from zoo.replicate.dev

Download

As easy as it gets: click on any image to find a download link:

Screenshot from zoo.replicate.dev

Further Explorations

You can use ZOO to explore prompt variations until you find an interpretation you like, and then switch to another interface that allows further manipulation of parameters, options, and seed values.

For example, here you will find Kandinsky and Stable Diffusion workspaces:

➡️ For more information about AI & Creativity, follow me on Twitter or Medium (use my referral link to get full access to all my articles and those of thousands of other writers).

➡️ If you like my content, why not leave a “clap” at the end of this article, so more people can see it?

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