GPT Image 2
Neural Network
GPT Image 2 is an OpenAI model for generating and editing images based on text descriptions.
Specifications
- Input
- text, images
- Output
- images
- Resolution
- 1024x1024, 1024x1536, 1536x1024
Prompt cost
(per 1M tokens)
Image prompt
(per 1K tokens)
How it works GPT Image 2?
GPT Image 2 is an image generation model from OpenAI: it creates images from text descriptions and edits existing ones while maintaining high detail, operating via a separate Images API. In BotHub, it is accessible from Russia without a VPN or foreign card: you pay with a Russian card in rubles as you go, without a subscription, and paid tokens do not expire. Other aggregator models are available in the same window, making it easy to compare results without creating separate accounts, and requests are transmitted using AES-GCM encryption and are not saved. For teams, we offer contracts, invoices, electronic document management (EDO), and an admin panel with limits. GPT Image 2 is useful for designers creating concepts and mood boards, marketers for advertising and social media visuals, stores for product scenes and updating product cards, editorial teams for illustrations, and product teams for precise edits to existing layouts based on references.Frequently asked questions about GPT Image 2
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.
gpt-image-2 creates images from text descriptions and modifies existing ones: upload an image as a reference to get a new version. It is suitable for illustrations, covers, banners, product cards, concepts, and social media visuals when you need a specific shot for your task.
You receive a finished raster image that can be downloaded directly from the chat or retrieved via API. Specific resolution and aspect ratios are set by request parameters, so refer to the interface settings rather than a fixed size.
Our data does not indicate reasoning capabilities before answering, so we cannot promise step-by-step analysis. The model is focused on image generation: it works with descriptions and returns a frame immediately. For complex scenes, it is better to specify details directly in the prompt.
There is no indication of function calling or structured JSON output in our data, so we do not recommend building logic on this. However, you can trigger the generation itself from code: BotHub provides a unified OpenAI-compatible API, and it is convenient to leave orchestration and JSON schemas to a text model in the same workflow.
You can upload images: this is a confirmed feature; the image-to-image mode accepts your picture as a base or reference for style, composition, and character. There are no notes in our data regarding audio or video input, so rely on the combination of text and images.
We do not have data on prompt languages, so we cannot make any claims — please test it with your task. The BotHub interface and support are in Russian, payment is in rubles with Russian cards, and access is available without a VPN or foreign card. If the result is inaccurate, describe the scene in more detail or add a reference.