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Flux 2 AI

AI image generator for text-to-image, image-to-image, and multi-image workflows.

Introduction

What is Flux 2 AI

Flux 2 AI is a free online AI image generator that supports text-to-image, image-to-image, and multi-image workflows. It allows users to create images from text prompts, modify existing images, and generate series of images with consistent visual language.

How to use Flux 2 AI
  1. Select Mode: Choose a model and a mode that fits your goal. Options include text-to-image for concepts, image editing for refinements, and multi-image generation for series consistency. Flux 2 aims to keep style and structure aligned across runs.
  2. Enter Prompt: Write a clear prompt and attach reference images for best results. Include details about the subject, environment, style, and camera hints. Flux 2 interprets these details and blends them with uploaded images for coherent output.
  3. Generate Visual: Click the generate button. Image generation typically takes about thirty seconds to a few minutes, depending on resolution and batch size. Flux 2 produces stable images that maintain key attributes, allowing selected results to be used directly in design or publishing.
Features of Flux 2 AI
  • Text-to-Image: Generate images from textual descriptions.
  • Image-to-Image: Modify or transform existing images.
  • Multi-Image Workflows: Supports generating series of images with consistent visual language.
  • Batch Reference to Multiple Outputs: Upload several reference images to generate multiple results simultaneously.
  • Text Plus Up to Ten References: Combine written prompts with up to ten reference images for multi-image fusion.
  • Versatile Styles: Apply various styles like watercolor, cyberpunk, film photography, or minimal design.
  • Ecommerce Catalog Generation: Create consistent product visuals with aligned materials, colors, and proportions.
  • Marketing Storyboards: Draft scenes for ads and social media with consistent tone and character traits.
  • Photo Restyle and Cleanup: Enhance portraits or product shots by adjusting background, color grade, and texture.
  • Multi Image Variants: Generate coordinated sets from multiple references, such as packaging lines or colorways.
  • Social Campaign Assets: Produce variations for different platforms in one pass, maintaining a unified look.
  • Creative Prototyping: Quickly explore styles, materials, and compositions to compare options and gather feedback.
Use Cases of Flux 2 AI
  • Creating consistent product angles and lighting for e-commerce catalogs.
  • Drafting scenes for advertisements and social media campaigns.
  • Restyling or cleaning up portraits and product shots.
  • Generating coordinated sets of images for product lines or colorways.
  • Producing unified visual assets for social media across different platforms.
  • Prototyping creative concepts for campaigns and products.
FAQ
  1. How do I use it? Choose a model and mode, write a clear prompt, and attach reference images. Flux 2 AI interprets the request and returns images that follow the specified subject, style, and composition.
  2. How long does generation take? Generation time varies by size, guidance, and batch count. Most images complete in about thirty seconds, with larger or multi-image sets finishing in a few minutes. Flux 2 optimizations aim to keep queues responsive.
  3. How are credits calculated? Credits reflect resolution, steps, and batch size. Higher detail and more outputs require more credits. Flux 2 displays usage information before generation.
  4. What are the upload limits? Supported formats include PNG, JPG, JPEG, and WEBP. Maximum file size depends on the plan. Multi-image workflows accept several references to guide structure, materials, and lighting.
  5. Can I use results for commercial work? Yes, outputs are allowed for advertising, websites, print, and social media, as permitted by local law. Users are responsible for rights to uploaded references and for following brand or regulatory requirements.
  6. What makes Flux 2 different? Flux 2 combines fast iteration, multi-image control, and consistent structure. It aims to keep character, product form, and lighting stable across image sets, shortening review cycles and supporting production-ready assets.

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