👉 Fluid, a popular text-to-image AI model, employs a range of sophisticated techniques to generate high-quality images from textual descriptions. One of its key tricks is the use of a multi-stage generation process, where it first creates a latent image representation from the input text and then iteratively refines this image through a series of conditional steps, guided by additional textual cues. This allows Fluid to produce more coherent and contextually accurate images. Another trick is its ability to leverage a diverse set of pre-trained models, enabling it to adapt and generate images in various styles and formats. Additionally, Fluid uses a decoder-only architecture for certain tasks, which enhances its efficiency and flexibility. These techniques collectively contribute to Fluid's capability to produce visually stunning and contextually relevant images from simple textual prompts.
