How it works Muse Image?
Muse Image is an image generation model from Meta with an agentic approach: instead of a single pass, it reasons about the task, breaks it down into steps, and then renders the result. It works in two modes: creating images from text descriptions and editing existing ones based on references provided with the request. In BotHub, Muse Image is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles, charged per token used rather than by subscription. With over 250 models in one window, you can compare results and switch between them without rewriting integrations. Access is also available via a unified OpenAI-compatible API. Data is encrypted using AES-GCM, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Useful for designers creating concepts and mood boards, marketers for campaign and social media visuals, authors for article illustrations, and product teams for editing layouts based on references.Frequently asked questions about Muse Image
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
muse-image by Meta is an image generation model: it creates images from text descriptions and processes existing images based on references. Suitable for illustrations, concepts, banners, and social media visuals. In BotHub, it is available in one window with other models, without a VPN or foreign card.
We do not have specific data on resolution and output formats, so we cannot promise specific figures. The model outputs an image as a result, and you define frame details—proportions, style, and composition—in the description. For precise layout fitting, use the image-based mode.
Our data does not indicate step-by-step reasoning before answering, and muse-image is an image generation model: its result is an image, not a text explanation. If you need a model that reasons and explains its solution process, text models are available nearby in BotHub, and you can switch in the same window.
Our data does not indicate support for function calling or structured JSON output, so we cannot confirm. It is known that muse-image accepts text descriptions and images and outputs an image. For programmatic scenarios, BotHub provides a unified OpenAI-compatible API, through which other models can also be called.
Images are accepted: muse-image has an image-based mode, so you can upload a reference and get a new image based on it. There is no mention of audio or video in our data. You can work with the model in the BotHub web interface or the Telegram bot.
There is no separate assessment of Russian language proficiency in our data, so we cannot promise anything. The model works with text descriptions, and the easiest way to check how accurately it understands your prompt is in practice: generate several variants and compare. The BotHub interface and payment are in Russian, without a VPN or foreign card.