Qwen Image 2.1 - Generate and edit images online, explore visual ideas, and shape a clear prompt.

Core Capabilities

Qwen Image 2.1 integrates a 7B visual generation component that combines text-to-image creation and image editing in a single workflow. The platform supports native transparent RGBA image output, up to 10 reference images for multi-subject composition, and refined rendering of text and portrait details. It is optimized for users who want full control over prompt structure and creative direction, rather than relying on pre-built style tags.

Supported Use Cases

• Generate original custom images from structured text prompts for product visuals, character art, landscapes, and editorial content

• Edit existing images by defining specific changes while locking in elements that need to stay unchanged

• Create transparent RGBA assets including product cutouts, stickers, and icons for graphic design and compositing work

• Build detailed prompts for poster and print work, with explicit control over typography, text placement, and layout hierarchy

• Test multi-reference workflows to map separate reference images to distinct subjects, outfits, or settings in a new composition

Studio Workflow

The public studio lets users follow a structured process to refine ideas before generating final assets:

1. Start with a text description that covers subject, setting, viewpoint, composition, lighting, and mood

2. Import local reference images to draft edit instructions that separate requested changes from preserved elements

3. Select a defined aspect ratio (square, portrait, wide) matching standard 2K sizes for common use cases

4. Submit prompts directly to the configured model service after signing in, and view returned generation results

5. Copy pre-tested prompt drafts to other compatible editing tools for final implementation

Prompt Writing Guide

The platform provides explicit guidance to build effective prompts:

• For new images, start with the core subject, then add setting, composition, lighting, and mood in plain descriptive language

• For edits, name the exact object or region to modify, then list all details that must stay consistent

• For transparent assets, explicitly request RGBA output, define clean subject edges, and specify shadow and silhouette requirements

• For multi-reference work, assign a clear role to each reference image to prevent unintended blending of unrelated visual elements

• For text-heavy images, put all exact required words in quotation marks, and define placement, scale, and hierarchy clearly

Important Notes

The gallery on the site displays original illustrative studies made for the website, not generation outputs from the Qwen Image 2.1 model. Full generation functionality is only active when the site operator has completed configuration of the model service. Local reference previews in the studio are for drafting edit prompts only, and are not connected to the generation endpoint by default. All exact generation results depend on the specific model service implementation used with the tool.