Qwen Image 2512
Neural Network
Qwen Image 2512 is an image generation model by Qwen for realistic people, fine textures, and precise text in the frame.
Specifications
- Input
- text, images
- Output
- images
- Aspect ratio
- 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, custom
- File formats
- WEBP, JPG, PNG
How it works Qwen Image 2512?
Qwen Image 2512 is an updated version of Qwen Image: people in the frame look more natural, textures are rendered with finer detail, and text on images is more accurate than before. Through BotHub, the model is available without a VPN or foreign card: you pay with a Russian card only for the caps used, with no subscription, and the balance does not expire. With over 250 models in one window, it's easy to compare generations and choose the right frame. Requests are encrypted with AES-GCM and not saved. For production tasks, there is a unified OpenAI-compatible API, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Designers create concepts and visuals from text descriptions, marketers make banners and covers with readable text, SMM specialists create post series for categories, photographers and retouchers get frames with people where skin and fabric are important, and developers integrate image generation into their services via API.Frequently asked questions about Qwen Image 2512
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.
It is an image generation model: it draws a frame based on a text description and can process an existing image using a reference. It is suitable for concepts, illustrations, covers, visuals for social media and advertising, as well as for creating variations of an already finished image in a similar style.
Specific resolutions and file formats are not fixed in our data, so rely on the results in the BotHub interface. Your prompt influences the composition, detail, style, and proportions of the frame: the model accepts descriptions within a 4095-token context, so you can describe details in depth.
A separate reasoning mode is not noted in our data, and it is not needed for image generation: you will not get a text chain of thought. The quality of the result here does not grow from the model's reasoning, but from a detailed prompt and a successful reference that you provide as input.
Function calling and strict JSON are not noted in our data — these are tools for text models. If you need such logic, build the scheme using a text model and call qwen-image-2512 for images: in BotHub, all models work via a unified OpenAI-compatible API, so you won't have to rewrite the integration.
Images — yes: the image-to-image mode accepts an image as input, and you can ask to redo the frame, change the style, or get a variation based on a reference. This model does not accept audio or video as input — there are separate models in BotHub for such tasks.
Nothing is said about prompt languages in our data, so we will not promise accuracy in Russian — check it with your task. However, BotHub itself is fully in Russian: access from Russia without a VPN or foreign card, payment with Russian cards in rubles.