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Muse Image AI

Create social-ready visuals from prompts and up to ten reference images, with precise local edits.

Introduction

What is Muse Image AI

Muse Image AI is Meta's agentic AI image model, developed by Meta Superintelligence Labs. It allows users to create and edit images from natural prompts and reference images. The tool is designed for generating product shots, posters, social visuals, and performing image edits online.

How to use Muse Image AI
  1. Start with a visual brief: Describe the subject, style, layout, camera feel, exact text, and where the image will be shared.
  2. Add image references carefully: Use references for people, products, rooms, objects, or style. Check if the result preserves the right identity and details.
  3. Refine the exact region: Make precise edits, including style changes within a specific area, without rebuilding the entire image.
  4. Review before publishing: Check text rendering, factual details, likeness consent, brand safety, and suitability for platforms like Meta AI, Stories, or WhatsApp.
Features of Muse Image AI
  • Prompt-first image generation: Create visuals based on detailed text descriptions.
  • Multi-reference image composition: Combine elements from up to ten reference images.
  • Precise local editing: Make specific edits to targeted areas of an image.
  • Agentic workflow: The model can reason over prompts, use tools, search, and revise its output.
  • Stronger text rendering and fidelity: Improved accuracy in generating text within images and overall image quality.
  • Distribution across Meta products: Available within Meta AI, Instagram Stories, and WhatsApp.
  • Visual brief and reference mix: Supports detailed prompts and the use of multiple reference images.
  • Edit pass: Allows for refinement of generated images.
Use Cases of Muse Image AI
  • Social storytelling: Create story-ready visuals directly within Meta apps.
  • Marketing drafts: Prototype product scenes, ad concepts, and campaign assets.
  • Concept exploration: Explore character designs, environments, and props for creative direction.
  • Visual explainers: Generate diagrams, illustrated examples, and social cards.
Pricing

Muse Image AI offers several plans:

  • Basic: $9.99/month (includes 150 credits, ~30 image generations, email support).
  • Pro: $19.99/month (includes 360 credits, ~72 image generations, priority support, reference image uploads).
  • Max: $49.99/month (includes 900 credits, ~180 image generations, team-friendly usage, larger production buffer).

Credit packs are also available. Each generation typically costs 3 credits.

FAQ
  • What is Muse Image AI? Muse Image is Meta's agentic AI image model, designed to create and edit images from prompts and reference images, integrated into Meta products.

  • Where can people use Muse Image? It is available across Meta AI, Instagram Stories, and WhatsApp.

  • Why is Muse Image called agentic? It is described as more than a diffusion-only flow; it can reason over prompts, use tools, search, render structured elements, and revise its own output.

  • What kind of editing does it support? It supports precise local editing, allowing users to circle or describe a target area for specific changes without restarting the entire image generation.

  • Does Muse Image support reference images? Yes, it allows users to add up to ten reference images for composition.

  • Is Muse Video available too? Muse Video is previewed as part of the same media-generation direction, with ambitions for native audio.

  • What should creators watch out for? Creators should check text rendering, factual details, likeness consent, brand safety, and suitability for the intended platform.

  • Is there a Muse Image API? Currently, access is through Meta product surfaces, not a documented developer API.

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