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We now have the necessary tools to generate visual anagrams, or images that look like another different one when flipped/rotated. As an example for a vertical flip anagram, we would start with 2 prompt embeddings <code>p<sub>1</sub></code> and <code>p<sub>2</sub></code>. For <code>p<sub>1</sub></code>, we would compute the noise estimate ε<sub>1</sub> normally at each step, but for <code>p<sub>2</sub></code>, we flip the image <code>x<sub>t</sub></code> first before computing the noise estimate, then flip back the estimate to obtain ε<sub>2</sub>. Once this is done, we will use the average of ε<sub>1</sub> and ε<sub>2</sub> as the final noise estimate for each step. The variance can also be computed similarly, namely v<sub>1</sub> will be computed in the usual way, while v<sub>2</sub> will be the flipped variance estimate of the flipped <code>x<sub>t</sub></code>, and the final variance estimate will (v<sub>1</sub> + v<sub>2</sub>) / 2. Below are a few examples of such an effect, with <code>p<sub>1</sub></code> being the first prompt and <code>p<sub>2</sub></code> being the second:
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<h3>Prompts: <code>'an oil painting of an old man'</code>and<code>'an oil painting of people around a campfire'</code></h3>
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<h3>Prompts: <code>'an oil painting of an old man'</code>&<code>'an oil painting of people around a campfire'</code></h3>
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