Nani
Most AI image tools are built for one-off generations, not regular repetitive work. You end up rewriting the same prompts, re-pasting the same reference images, and scrolling through endless feeds to find anything. Nani is a workflow tool built on top of Google's Nano Banana Pro (Gemini) that fixes the repetitive, disorganized experience of AI image generation. What Nani Does: - Image Sets – Upload reference images once and reuse them across all your generations. - Prompt Sets – Save style directions, character descriptions, and brand guidelines as reusable building blocks. - Composable Prompts – Combine saved sets naturally instead of rewriting everything from scratch. - Visual Iteration – Drag previous results back in as references without downloading and re-uploading. - Folder Organization – Keep your library organized as it grows instead of scrolling through one long feed. - Fast UI – No sluggish loading or navigation delays.
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Nani is a workflow tool designed for AI image generation, built on top of Google's Nano Banana Pro (Gemini). It addresses the challenges of repetitive and disorganized image generation by allowing users to upload reference images and save prompts for reuse, making the process more efficient and organized.
Nani offers several features including Image Sets for reusing reference images, Prompt Sets for saving style directions and character descriptions, Composable Prompts for combining saved sets, Visual Iteration for easy reference of previous results, Folder Organization for managing your library, and a Fast UI to enhance user experience without delays.
Nani improves the AI image generation process by eliminating the need to rewrite prompts and re-upload images repeatedly. It allows users to organize their work efficiently, making it easier to manage multiple projects and iterations without the hassle of scrolling through endless feeds.
Currently, there are no user-generated pros and cons available for Nani. However, based on its features, potential pros include improved organization and efficiency in AI image generation, while potential cons may include a learning curve for new users unfamiliar with such tools.