Qwen Image Edit Plus Lora
Neural Network
Qwen Image Edit Plus Lora is a Qwen model for image editing with LoRA support via safetensors links.
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 Lora?
Qwen Image Edit Plus Lora is an image editing model from Qwen built around LoRA: you provide a link to a safetensors file from HuggingFace, and the selected weights are applied to edit the source frame. You can run the same shot through different adapters and compare results without changing the pipeline. Via BotHub, the model works from Russia without a VPN or foreign card; you pay in rubles for actual usage, and unused tokens do not expire. Access is available via both the web interface and a unified OpenAI-compatible API; data is transmitted encrypted, and for companies, we provide contracts, invoices, electronic document management, and an admin panel with limits. Scenarios are simple: designers edit layouts and insert objects based on references, marketplace teams update product card visuals, art directors run a series of frames through a signature LoRA style, and developers build their own image editor, with over 250 other BotHub models available in the same window.Frequently asked questions about Qwen Image Edit Plus Lora
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 uploaded images based on references. It is suitable for editing objects and backgrounds, changing styles, creating variations of a scene, and preparing visuals for social media, product cards, and presentations.
The output is a ready-to-use raster image that can be downloaded from the BotHub chat or retrieved via API. LoRA support allows for more precise control over the desired style and visual signature. Specific resolutions and aspect ratios depend on the request parameters you set during generation.
A separate step-by-step reasoning mode is not indicated in our data: this is a visual model, its task is to turn a description and reference into an image. If you need a chain of thought for text, switch to a reasoning model in BotHub and then return to image generation.
Function calling and strict structured output are not indicated in our data — the model's result is an image, not a text schema. However, the call is made via the unified OpenAI-compatible BotHub API, so the model is easy to integrate into your pipeline alongside text models.
Images, yes, this is the main scenario: you send an image and describe the necessary edits, and the model returns a new version. This model does not accept audio or video as input, but other models for audio and video are available in BotHub within the same interface and via the same API.
We do not claim specific metrics for languages, so rely on practice: describe the scene clearly, in parts, and specify objects, style, and composition. If the result differs from what you intended, refine the prompt or add a reference — this is usually enough to capture the idea.