Androidify is an open‑source Android app that transforms user selfies into personalized Android robot avatars by combining Jetpack Compose UI, Firebase backend, and Google’s Gemini and Imagen AI models, offering developers a concrete example of AI‑driven mobile development.
This article surveys the key challenges of controllable text‑to‑image generation and explains the architectures, components, and training details of major diffusion‑based models such as DALL‑E‑2, Google Imagen, Stability AI's Latent Stable Diffusion, and the ControlNet extension.
This article reviews the key components and design choices of recent text‑controlled image generation systems—including DALL·E‑2, Google Imagen, Stability AI's Latent Stable Diffusion, and the ControlNet extension—highlighting how diffusion models, text encoders, prior modules, super‑resolution, and conditioning mechanisms enable high‑quality, controllable visual synthesis.
