Gemini 2 Flash

With Gemini 2 Flash, create consistent visuals, edit images conversationally, and render text accurately.

API

If you're looking for an API, you can choose from your desired programming language.

POST

const axios = require('axios');
const fs = require('fs');
const path = require('path');

// helper function to help you convert your local images into base64 format
async function toB64(imgPath) {
    const data = fs.readFileSync(path.resolve(imgPath));
    return Buffer.from(data).toString('base64');
}

const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/gemini-2-flash-image-generation";

const data = {
  
  "messages": [
    {
            "role": "user",
            "content": "tell me a joke on cats"
        },
        {
            "role": "assistant",
            "content": "here is a joke about cats..."
        },
       {
            "role": "user",
            "content": "now a joke on dogs"
        }
  ]
};

(async function() {
    try {
        const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
        console.log(response.data);
    } catch (error) {
        console.error('Error:', error.response.data);
    }
})();

RESPONSE

application/json

HTTP Response Codes

200 - OKResponse Generated

401 - UnauthorizedUser authentication failed

404 - Not FoundThe requested URL does not exist

405 - Method Not AllowedThe requested HTTP method is not allowed

406 - Not AcceptableNot enough credits

500 - Server ErrorServer had some issue with processing

Attributes

messagesArray

An array of objects containing the role and content

rolestr

Could be "user", "assistant" or "system".

contentstr

A string containing the user's query or the assistant's response.

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

Gemini 2.0 Flash

Gemini 2.0 Flash features native image generation capabilities, allowing users to generate and edit images through natural language prompts. Its key strength is the ability to generate multimodal outputs, creating relevant images alongside text within a single model.

Key Features

Native Image Output: Generates images directly in conjunction with text, simplifying the development process for visually rich applications.
Consistent Multimodal Storytelling: Can illustrate stories from textual prompts, maintaining consistent characters and settings across generated images.
Interactive Conversational Image Editing: Supports multi-turn natural language dialogue for image editing, allowing for iterative refinement and exploration of visual ideas while retaining context.
World-Aware Realistic Imagery: Utilizes world knowledge and enhanced reasoning to produce accurate and detailed images suitable for realistic depictions like recipe illustrations.
Strong Text Rendering in Images: Demonstrates superior ability to accurately render long sequences of text in images compared to other models, making it suitable for creating legible advertisements and social media content.
Single Model for Text and Image: Integrates both text and image generation capabilities into one model, offering a unified approach to multimodal content creation.

Use Cases

Visually Engaging Storybooks (Entertainment/Education): Enables the creation of illustrated narratives with consistent visuals based on text input.
Collaborative Ad Design (Marketing): Facilitates iterative refinement of marketing visuals through natural language feedback and editing.
Illustrated Recipe Guides (Food Industry/Publishing): Generates detailed and accurate images to accompany recipe instructions, enhancing user experience.
Dynamic Social Media Posts (Social Media Management): Produces visually appealing social media content with accurately rendered text for effective communication and engagement.
Visually Enhanced AI Assistants (Software Development): Allows AI agents to generate visual responses and create interactive, illustrated experiences within applications

Gemini 2.0 Flash presents a powerful experimental platform for developers seeking to integrate native text and image generation into their applications. Its unique features, such as conversational image editing and robust text rendering, combined with its multimodal capabilities, offer significant potential for creating engaging and visually rich user experiences.

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sdxl-img2img

SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers