Qwen Image Edit 2511
Neural Network
Qwen Image Edit 2511 is a Qwen model for image editing based on text descriptions and references.
Specifications
- Input
- text, images
- Output
- images
- Aspect ratio
- 1:1, 16:9, 9:16, 4:3, 3:4
- File formats
- WEBP, JPG, PNG
How it works Qwen Image Edit 2511?
Qwen Image Edit 2511 is an image editing model from the Qwen team, an evolution of the Qwen-Image-Edit-2509 version. Developers note a set of improvements and significantly higher consistency, meaning the original frame and details change less where you didn't ask them to. You describe edits with text and rely on the uploaded image. In BotHub, the model opens without a VPN or foreign card: pay with a Russian card in rubles and only for tokens actually used, which do not expire. Over 250 neural networks are available in one window, making it easy to compare results with other generators. For products, there is a unified OpenAI-compatible API and corporate terms with contracts, invoices, and an admin panel. Useful for designers to carefully replace objects and backgrounds, for marketers to adapt one creative for different formats, for photographers to retouch and clean up frames, for stores to create uniform product cards, and for SMM teams to create series of posts where the character remains recognizable.Frequently asked questions about Qwen Image Edit 2511
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.
qwen-image-edit-2511 is a Qwen model for working with images: it creates images from text descriptions and modifies existing ones based on a reference. It is suitable for editing objects, backgrounds, and styles, creating banner variations, social media visuals, and preparing concepts.
You get a finished image as output, not text. The specific resolution and format depend on your request and generation parameters, so we do not state exact values. For printing or non-standard aspect ratios, it is easier to do a test run and see the result.
A step-by-step reasoning mode is not noted in our data for this model, which is normal for image generation: the task is solved in a single pass based on the prompt. If a chain of thought is needed, think through the scenario with a text model and pass the finished description to qwen-image-edit-2511.
Function calling and strict JSON are not noted in our data for the model — it returns an image. However, you can access it via the unified OpenAI-compatible BotHub API, so you can assemble the logic and structure of the response on your side without changing the integration.
Images — yes: besides text, the model accepts an image as input, so you can send your frame and ask to modify it based on a description or reference. Audio and video are not in the list of supported inputs; their processing should be entrusted to specialized models.
We do not have reliable data about prompt languages for this model, so we will not promise anything — it is easiest to check with a short test on your scenario. BotHub itself is fully Russian-speaking: access without VPN, payment with Russian cards in rubles.