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

MAGIFACTORY 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. Euler a scheduler preferred. You can also try DPM++ 2S a Karras scheduler. I am running Instagram with top designs, so you can download and use them.

prompts:

cyberpunk astronaut flying in space (on a black background:1.4) as a t-shirt logo in the style of <MAGIFACTORY> art

a symbol of a car (on a black background:1.2) as t-shirt logo in the style of <MAGIFACTORY> art

negative prompt:

badly drawn, noisy, noise, blurred, ugly, cropped, out of frame, (double:1.4), (repeated:1.4), (repeating:1.4), signature, text, font, watermark