<p>new test model v 1.1 - try it, it is mainly for testing purposes. Let me know in the comments what you think, I can tune it more in case of problems</p><p></p><p><a target="_blank" rel="ugc" href="https://www.magifactory.com"><strong><u>MAGIFACTORY</u></strong></a> model is trained to generate t-shirt logos based on text input. The model takes in a text description of the desired t-shirt logo and generates a corresponding image. It is trained on a dataset of t-shirt logos with resolution 512x512px. Ideally use hires-fix rescale to 896x896 ( for not having repeated artifacts ) in automatic1111 WebUI with "Latents antialiased" and finally upscale 4x with SwinIR_4x. <code>Euler a</code> scheduler preferred. You can also try <code>DPM++ 2S a Karras</code> scheduler. I am running <a target="_blank" rel="ugc" href="https://www.instagram.com/magifactory">Instagram</a> with top designs, so you can download and use them.</p><h3>prompts:</h3><pre><code>cyberpunk astronaut flying in space (on a black background:1.4) as a t-shirt logo in the style of &lt;MAGIFACTORY&gt; art</code></pre><pre><code>a symbol of a car (on a black background:1.2) as t-shirt logo in the style of &lt;MAGIFACTORY&gt; art</code></pre><h3>negative prompt:</h3><pre><code>badly drawn, noisy, noise, blurred, ugly, cropped, out of frame, (double:1.4), (repeated:1.4), (repeating:1.4), signature, text, font, watermark</code></pre>

<MAGIFACTORY> t-shirt diffusion

<p>Cleaned training images, much less generated text</p>

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