<h3 id="foreword-cbxp91vy9">Foreword</h3><p>This Embedding follows the Base Model, LoRA and Hypernetwork, which I created with the topic red-white lighthouse, to study what each of the different models can do.</p><p><span style="color:rgb(253, 126, 20)">This model can have a positive effect on a picture, but it does not have to, according to my current experiments. Expectations should not be set too high.</span></p><h3 id="what-the-embedding-model-can-do-10772m3xu">What the Embedding Model Can Do</h3><p>The Embedding model can modify a lighthouse in a way, that the lighthouse will be round with red-white colored sections.</p><h3 id="limitation-pxlputyik">Limitation</h3><p>Embedding usually only creates a lighthouse without a detailed environment. It depends on what was brought into the training.</p><h3 id="base-model-versus-embedding-ph7xqgz6z">Base Model versus Embedding</h3><p>The <em>Prompts</em> I am creating so good, that it is not possible to get more out of a photo with such an Embedding like this. So far, my attempts with embedding have been rather worse than the result without embedding.</p><h3 id="training-7xwmk4e6y">Training</h3><p>I trained the model, as I did before, with 12 lighthouse photos from my photo collection. The square images have a resolution of 512 x 512 pixel. The main content in each photo is the lighthouse.</p><p>In the Textual Inversion template text file I used [name] as well as [filewords]. For this each filename is a description what to see in the photo.</p><p>The used latent sampling method was random. The Embedding learning rate was set to 0.05:500, 0.005 to start fast and slow down later. The sample images show, that the first set of images can be far away from the trained topic.</p><h3 id="remarks-6kinniy31">Remarks</h3><p>This is the worst functioning model I have ever created. I was not convinced that this approach to embedding would work and I seem to have been right. Embeddings are probably better suited for people or animals.</p><h3 id="to-do-1060vpjgz">To-Do</h3><p>Right now the computer is creating a new Embedding for testing purposes. I am using a reduced set on images. In addition to this I changed some other parameter for the training.</p><p>The interim results with the new embedding look promising <span style="color:rgb(0, 0, 0)">😀</span>. Some preliminary results:</p><p><a target="_blank" rel="ugc" href="https://civarchive.com/posts/6798698">https://civarchive.com/posts/6798698</a></p><h3 id="finally-yhrkp3g5o">Finally</h3><p>Have a nice day. Have fun. Be inspired!</p>

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