yux-nano-banana

To generate images using the OpenRouter API, you provide a text prompt and select a supported image model. The skill optimizes your prompt and executes the API call to create the requested image.

Text-to-image prompt optimization is the process of enhancing a user's text prompt for better image generation results. It refines the input text before sending it to the OpenRouter API to improve visual output quality.

Supported image models for text-to-image generation include Gemini, Flux, and other options available through the OpenRouter API. You can select your preferred model before executing the generation call.

Yes, you can use this text-to-image generation approach for UI/UX design, content creation, and artistic purposes. It allows you to programmatically generate visually appealing images based on customized text prompts.

The best way to generate a futuristic cityscape is to input that exact text as a prompt, select an image model like Flux, and let the skill optimize the prompt and execute the OpenRouter API call to produce the image.

Prompt optimization matters for image generation because it enhances the text input before the API call, leading to better visual results. It refines your initial request to ensure the output meets your creative requirements.