@techreport {pub5969,
	title = {Exploring Stable Diffusion-based Text-to-image Tools},
	author = {Jonathan Huenten},
	year = {2024},
	month = {November},
	abstract = {In this project, we explored two stable diffusion-based text-to-image tools, namely SDXL1.0 and Flux.1 (schnell) on their basic capabilities and performance using different parameters. We studied the results of both models using prompts from different topics and difficulty level by visual inspection. Both models show a very good quality and producing images for the given prompt but also struggle eventually with e.g. many objects, reflections or humans. In this report, we provide our findings and some recommendations on parameters and their influence on results. Overall, both tools are very good generative AI models and straightforward to use but require prompt engineering for achieving optimal results.},
	publisher = {HRI-EU}
}