Qwen Image Edit Plus
Neural Network
Qwen Image Edit Plus is a Qwen model for image editing with native ControlNet support and multi-reference handling.
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 Plus?
Qwen Image Edit Plus is the latest iteration of the Qwen-Image line, focused on editing. The model works more accurately with multiple images, maintains better frame consistency, and natively supports ControlNet, allowing you to control results with structural prompts, not just descriptions. In BotHub, it is accessible from Russia without a VPN or foreign cards; payment is accepted via Russian cards in rubles on a pay-as-you-go basis. With over 250 models in one window, you can easily run a task through multiple generators to compare results. Requests go through a unified OpenAI-compatible API and are encrypted via AES-GCM. Teams have access to contracts, invoices, electronic document management, and an admin panel with limits. Use this model when you need to assemble a composition from multiple sources, replace a background or object in product photos, keep a character consistent across a series of frames, carefully redraw details based on a reference, or get predictable edits for design layouts.Frequently asked questions about Qwen Image Edit Plus
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 Qwen model for image generation and editing: it creates images from text descriptions and processes existing ones based on uploaded references. It is suitable for composition and detail edits, background changes, frame variations, previews, and content visuals.
You get a finished image as output — the model works in text-to-image and image-to-image modes. There are no strict style requirements: you define quality and detail through descriptions and references. The request context is 4095 tokens, output limit is 4096 tokens, which is enough for a detailed prompt with edits.
A separate step-by-step reasoning mode is not indicated in our data — this is an image model, not a text reasoning one. If you need a chain of thought, task analysis, or a plan, use any reasoning model in BotHub in the same window and pass the result here as a prompt.
Our data contains no notes on function calling or structured output, so we do not recommend building agent logic on this model. However, it is available via the unified OpenAI-compatible BotHub API: it is convenient to integrate image generation into a scenario where a text model handles tools and JSON.
Images — yes, this is the main scenario: you attach a picture and describe what to change. The model does not accept audio or video input; BotHub has separate audio and video models for those. The output here is also an image, not text or a video clip.
We have no information about prompt languages in our data, so we cannot promise accuracy in a specific language — test it on your task, it's quick. A practical tip: describe the scene with short, unambiguous phrases and rely on the reference; then the result depends less on the wording.