Question: I'm looking for a solution that uses trusted data to create photorealistic images for visualization purposes.

If you're looking for a way to generate photorealistic imagery for visualization purposes based on trusted data, Shutterstock ImageAI is a great choice. This text-to-image diffusion model uses Shutterstock's vast library of images and its own tools like Databricks Mosaic AI to generate high-resolution photorealistic images based on text prompts. Its open-source models and tools mean it can be customized for content creation and visualization needs.

Another contender is SDXL Turbo, which uses Adversarial Stable Diffusion Distillation technology to generate high-resolution photorealistic imagery in real time. It's well adapted to uses like games and virtual reality, where fast single-step image generation and GAN-enhanced image quality are important. SDXL Turbo also offers a variety of pricing tiers and open access to its weights and code, so it can be used in a variety of situations.

For a more general-purpose toolkit, check out getimg.ai. The service offers a variety of tools, including an AI Generator for generating original images from text prompts, Image to Video conversion, and an AI Canvas for image expansion. It also supports 80+ community-trained AI models and offers a variety of pricing tiers based on credits, so it can be used for everything from architecture to art.

Finally, LookX AI Cloud is an AI-powered system that turns text, sketches and simple prompts into photorealistic renderings, videos and images. It's geared for architects, designers and construction professionals who want to use AI to speed up their design work. It includes features like RealTime Rendering, Custom Model Training and Multi-Platform Plugins to boost creativity and collaboration.