MAI Image 2.6 Flash
Neural Network
MAI Image 2.6 Flash: low-latency image generation and editing from Microsoft AI for high-volume tasks.
Specifications
- Input
- text, images
- Output
- images
- Resolution
- 1K, 2K, 4K
- Aspect ratio
- 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 16:9, 9:16, 21:9
How it works MAI Image 2.6 Flash?
MAI Image 2.6 Flash is a fast branch of the MAI-Image-2.6 family from Microsoft AI. The model creates and edits images based on text descriptions and is designed for high-volume requests where response speed is critical. It offers lower latency than the precision version while maintaining comparable image quality, making it ideal for production scenarios with continuous generation streams. In BotHub, the model is accessible from Russia without a VPN or foreign card; payment is made in rubles using Russian cards based on actual usage, and unused tokens do not expire. Over 250 models are available in one window, allowing for easy switching and comparison. A unified OpenAI-compatible API lets you integrate generation into your service and switch models without rewriting code; requests are encrypted via AES-GCM. It is suitable for creating visuals for product cards and social media in bulk, assembling banners for ad campaigns, refining existing images using references, and embedding generation directly into your product interface.Frequently asked questions about MAI Image 2.6 Flash
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.
This is a Microsoft graphics model: it creates images from text descriptions and can process uploaded images in image-to-image mode. It is suitable for illustrations, concepts, covers, visuals for social media and presentations, as well as variations based on a reference when you need to preserve the original composition.
Specific resolution and file format are not fixed in our data, so we will not provide specific numbers. Rely on the results in the BotHub interface: generate a test frame for your task and see if the detail and proportions meet your needs.
There is no separate reasoning mode before answering noted in our data. This is an image generator, not a text reasoner, so the result depends more on the quality of the prompt: describe the scene, style, lighting, and angle in detail, and the quality will improve significantly.
There are no notes about function calling or structured JSON output in our data, so you should not rely on them in production. You can access the model via the unified OpenAI-compatible BotHub API, and it is convenient to keep orchestration logic on your side.
You can upload images: the image-to-image mode accepts an image as input and processes it according to your description. Audio and video input is not supported in our data, so for such formats, it is better to switch to another model in the same BotHub window.
The prompt language is not fixed in our data, so we will not promise anything specific: test the model with your type of requests. However, BotHub itself works in Russian, payment is made with Russian cards in rubles, and no VPN or foreign card is required.