Illusion

The 'illusion' model is a text-to-image AI model created by Monster Labs. It leverages ControlNet on top of SD 1.5 to generate high quality images based on textual input. The model can be used to generate images based on a provided seed, image URL, dimensions (width and height), border size, and a descriptive prompt. Users can also indicate the number of output images they want, the guidance scale, and incorporate a negative prompt to avoid certain features in the generated image. Furthermore, users can incorporate qr-code content and specify qr-code background. The model uses a controlnet conditioning scale and can be run for a specific number of inference steps. The output is a URL that links to the generated image(s).

Use cases

The 'illusion' AI model, offered by Monster Labs, utilizes ControlNet technology on top of SD 1.5 to generate images from text descriptions. This could be used in a variety of practical applications and products across several sectors. For instance, artists and designers can use this to experiment with unique visuals and patterns, creating initial drafts or getting inspiration for oil paintings or illustrating medieval city streets, buildings, people, and more. By setting desired parameters, they could control the output for visual clarity, quality and avoid unwanted themes. In the entertainment industry, this model could visualize fictional worlds or props for gaming, novels, films, or comics. As it can generate QR codes, businesses can use it for advertising, where content changes dynamically based on the input. Moreover, educators can use it to create visual aids to help students understand historic or complex concepts that are easier to comprehend visually. Lastly, this can be incorporated into apps that help visually impaired individuals by transforming descriptive words into images they can sense using other technologies.