Qwen Image 2
Neural Network
Qwen Image 2 is an Alibaba Qwen model for image generation and editing: it works via text prompts and image references.
Specifications
- Input
- text, images
- Output
- images
- Aspect ratio
- 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2
How it works Qwen Image 2?
Qwen Image 2 is a new-generation model from the Qwen team (Alibaba) that creates images from text descriptions and edits existing pictures. Its strength is accurate text rendering directly in the frame, including hieroglyphs, ensuring labels on layouts remain readable. Via BotHub, the model is accessible from Russia without a VPN or foreign card: pay with a Russian card in rubles as you go, for consumed caps; no subscription is needed, and tokens do not expire. Over 250 models are available in one window, allowing you to compare results without changing the interface. A unified OpenAI-compatible API lets you connect generation to your service and switch models without rewriting integrations. Data is encrypted via AES-GCM and not stored. For companies, contracts, invoices, electronic document management, and an admin panel with limits are available. Simple scenarios: banners and covers with text, creatives and test variants, illustrations for articles and presentations, and editing photos via reference—replacing backgrounds, removing objects, or changing details.Frequently asked questions about Qwen 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.
This is a generative image model from Qwen: it creates images from text descriptions and can work in image-to-image mode, i.e., redrawing and refining an uploaded frame. It is suitable for illustrations, concepts, visuals for social media and advertising, covers, and variations based on a reference.
You get a finished raster image that can be downloaded from the BotHub interface or retrieved via API. Exact frame parameters depend on your request and generation settings, so use the first attempt as a guide and refine the prompt for the desired composition.
A separate step-by-step reasoning mode is not noted in our data for this model. It is usually not needed for image generation: quality depends more on how detailed your description of the scene, style, lighting, and composition is. If you need text reasoning, switch to a reasoning model in the same window.
Support for function calling and structured output is not noted in our data for this model: its profile is image generation. However, the model itself is available via the unified OpenAI-compatible BotHub API, so you can call it from your service and build a pipeline with text models without separate integrations.
Images—yes, this is confirmed: the image-to-image mode accepts your file as a base and processes it according to the description. Audio and video input is not noted in our data, so for sound and video work, use specialized models available in the same BotHub interface.
We do not undertake to evaluate the quality of understanding specific languages based on our data—check with your own requests; it's quick. One practical tip: describe the scene in detail, specifying objects, style, angle, and lighting. The BotHub interface is in Russian, accessible from Russia without a VPN or foreign card, and payment is in rubles.