--- title: "Gemini 2.0 Flash Image Generation and Editing" description: "Generate AI images with the Google Gemini model." url: "https://vercel.com/templates/next.js/gemini-2-0-flash-image-generation-and-editing" links: repository: "https://github.com/google-gemini/gemini-image-editing-nextjs-quickstart" demo: "https://huggingface.co/spaces/philschmid/image-generation-editing" deploy: "https://vercel.com/new/clone?demo-title=Gemini+2.0+Flash+Image+Generation+and+Editing&demo-description=Generate+AI+images+with+the+Google+Gemini+model.&demo-url=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fphilschmid%2Fimage-generation-editing&project-name=Gemini+2.0+Flash+Image+Generation+and+Editing&repository-name=gemini-2-0-flash-image-generation-and-editing&repository-url=https%3A%2F%2Fgithub.com%2Fgoogle-gemini%2Fgemini-image-editing-nextjs-quickstart&env=GEMINI_API_KEY&envDescription=Create+an+account+and+generate+an+API+key&envLink=https%3A%2F%2Faistudio.google.com%2Fapp%2Fu%2F0%2Fapikey&demo-image=%2F%2Fimages.ctfassets.net%2Fe5382hct74si%2F6XXArqylYujJHAs9rZBZYj%2F6462f05b66b333fc36deff17b75b8819%2FCleanShot_2025-03-17_at_08.44.09_2x.png" --- # Gemini 2.0 Flash Image Generation and Editing Generate AI images with the Google Gemini model. # Gemini 2.0 Flash Image Generation and Editing Nextjs quickstart for to generating and editing images with Google Gemini 2.0 Flash. It allows users to generate images from text prompts or edit existing images through natural language instructions, maintaining conversation context for iterative refinements. Try out the hosted demo at [Hugging Face Spaces](https://huggingface.co/spaces/philschmid/image-generation-editing). https://github.com/user-attachments/assets/8ffa5ee3-1b06-46a9-8b5e-761edb0e00c3 Get your `GEMINI_API_KEY` key [here](https://ai.google.dev/gemini-api/docs/api-key) and start building. **How It Works:** 1. **Create Images**: Generate images from text prompts using Gemini 2.0 Flash 2. **Edit Images**: Upload an image and provide instructions to modify it 3. **Conversation History**: Maintain context through a conversation with the AI for iterative refinements 4. **Download Results**: Save your generated or edited images ## Basic request For developers who want to call the Gemini API directly, you can use the Google Generative AI JavaScript SDK: ```javascript const { GoogleGenerativeAI } = require("@google/generative-ai"); const fs = require("fs"); const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY); async function generateImage() { const contents = "Hi, can you create a 3d rendered image of a pig " + "with wings and a top hat flying over a happy " + "futuristic scifi city with lots of greenery?"; // Set responseModalities to include "Image" so the model can generate const model = genAI.getGenerativeModel({ model: "gemini-2.0-flash-exp", generationConfig: { responseModalities: ["Text", "Image"] } }); try { const response = await model.generateContent(contents); for (const part of response.response.candidates[0].content.parts) { // Based on the part type, either show the text or save the image if (part.text) { console.log(part.text); } else if (part.inlineData) { const imageData = part.inlineData.data; const buffer = Buffer.from(imageData, "base64"); fs.writeFileSync("gemini-native-image.png", buffer); console.log("Image saved as gemini-native-image.png"); } } } catch (error) { console.error("Error generating content:", error); } } ``` ## Features - 🎨 Text-to-image generation with Gemini 2.0 Flash - 🖌️ Image editing through natural language instructions - 💬 Conversation history for context-aware image refinements - 📱 Responsive UI built with Next.js and shadcn/ui - 🔄 Seamless workflow between creation and editing modes - ⚡ Uses Gemini 2.0 Flash Javascript SDK ## Getting Started ### Local Development First, set up your environment variables: ```bash cp .env.example .env ``` Add your Google AI Studio API key to the `.env` file: _Get your `GEMINI_API_KEY` key [here](https://ai.google.dev/gemini-api/docs/api-key)._ ``` GEMINI_API_KEY=your_google_api_key ``` Then, install dependencies and run the development server: ```bash npm install npm run dev ``` Open [http://localhost:3000](http://localhost:3000) with your browser to see the application. ## Deployment ### Vercel [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fgoogle-gemini%2Fgemini-image-editing-nextjs-quickstart&env=GEMINI_API_KEY&envDescription=Create%20an%20account%20and%20generate%20an%20API%20key&envLink=https%3A%2F%2Faistudio.google.com%2Fapp%2Fu%2F0%2Fapikey&demo-url=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fphilschmid%2Fimage-generation-editing) ### Docker 1. Build the Docker image: ```bash docker build -t nextjs-gemini-image-editing . ``` 2. Run the container with your Google API key: ```bash docker run -p 3000:3000 -e GEMINI_API_KEY=your_google_api_key nextjs-gemini-image-editing ``` Or using an environment file: ```bash # Run container with env file docker run -p 3000:3000 --env-file .env nextjs-gemini-image-editing ``` Open [http://localhost:3000](http://localhost:3000) with your browser to see the application. ## Technologies Used - [Next.js](https://nextjs.org/) - React framework for the web application - [Google Gemini 2.0 Flash](https://deepmind.google/technologies/gemini/) - AI model for image generation and editing - [shadcn/ui](https://ui.shadcn.com/) - Re-usable components built using Radix UI and Tailwind CSS ## License This project is licensed under the Apache License 2.0 - see the [LICENSE](https://github.com/google-gemini/gemini-image-editing-nextjs-quickstart/tree/main/LICENSE) file for details. ## Related Templates ### [Morphic: AI-powered answer engine](https://vercel.com/templates/next.js/morphic-ai-answer-engine-generative-ui) AI answer engine with Generative UI. ### [Advanced AI Bot Protection](https://vercel.com/templates/next.js/advanced-ai-bot-protection) An AI chat app built on Vercel that integrates Kasada's advanced bot protection. Prevent abusive API calls to the LLM before they occur. ### [Chatbot](https://vercel.com/templates/next.js/chatbot) A full-featured, hackable Next.js AI chatbot built by Vercel --- ## Additional documentation The [Vercel Knowledge Base](https://vercel.com/kb) contains guides and answers to common questions about Vercel, including deployment, framework configuration, domains, caching, and troubleshooting.