<h3 id="foreword">Foreword</h3><p>The Hypernetwork model transforms a cat into a pseudo-mechanical cat. The cat can become photorealistic, even if the mechanics or the mechanical parts of the cat are surreal.</p><p>The grade of photorealism depends on the settings used to create the image. The cat is sitting most of the time, which is based on the fact that I trained the model with sitting cat photos. The background is mostly bokeh or misty also because of the training data.</p><h3 id="how-to-use">How to use</h3><p>For the moment the recommended weighting while using the model is 0.6 to 0.8. Good results are achieved with different models. The quality may vary depending on the model.</p><p>Good starting point for an investigations is the Prompt: <span style="color:rgb(193, 194, 197)">mechanical cat, &lt;hypernet:pseudo_mechanical_cat:0.7&gt;. Refine the Prompt as required.</span></p><p>Be careful using Hires.fix and a Denoising Strength. This might result in unrealistic an surreal images. But sometimes one can improve an image using Denoising Strength.</p><h3 id="training">Training</h3><p>The model was created with the help of 76 of my own pictures of sitting cats in front of a blurred background. The resolution used was 1024 x 1024 pixel. I trained the model using AbsoluteReality. Nevertheless, as shown, it works also with a bunch of other models.</p><h3 id="finally">Finally</h3><p>Have fun! Be inspired!</p><h3 id="donation"><strong>Donation</strong></h3><p>About each Buzz I am happy! Yellow<span style="color:rgb(148, 148, 148)"> </span>ones<span style="color:rgb(148, 148, 148)"> </span>are<span style="color:rgb(148, 148, 148)"> </span>very<span style="color:rgb(148, 148, 148)"> </span>welcome!</p><p>I am also happy to accept donations in one of 250+ crypto currencies:</p><p><a target="_blank" rel="ugc" href="https://nowpayments.io/donation/zentrocdot">https://nowpayments.io/donation/zentrocdot</a></p><p>Leave optional a comment like improve documentation or improve model etc. when doing so, that I know in what you are interested in.</p>

Files with SHA256: d85461dce3ce8654208e411e04ee0908535fd9cdf3dc98b8fd8b303355996299