Available on Z-Image

Qwen Image 2.1 Native 2K RGBA Image Generator & Editor

Generate new images or edit one or two references with Qwen Image 2.1 in one workspace. Create native RGBA assets with transparent backgrounds, work at up to 2K, preserve people and products, and render clearer text for posters and packaging.

Native RGBA transparency
Native 2K output
Up to 10 model references
Unified generation and editing

Qwen Image 2.1 Image Generator and Editor

Image Generator
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What You Can Create with Qwen Image 2.1

Official Qwen Image 2.1 examples highlight transparent assets, detailed 2K visuals, controlled editing, multi-reference composition, and reliable typography.

Official Qwen Image 2.1 native transparency and RGBA image examples

Transparent PNG and RGBA Assets

Generate stickers, icons, isolated objects, and design elements with a native alpha channel instead of removing the background afterward.

Official Qwen Image 2.1 product fidelity and 2K detail examples

2K Product and Portrait Detail

Keep materials, lighting, faces, and small visual details more coherent across high-resolution product and portrait work.

Official Qwen Image 2.1 multi-reference group composition example

Multi-Reference Composition

The model can combine up to 10 references while preserving the identity of people, products, clothing, and other supplied elements.

Official Qwen Image 2.1 circle-guided local editing comparison

Precise Local Image Editing

Direct changes with circles, painted annotations, or masks while keeping untouched regions and subject identity stable.

Official Qwen Image 2.1 typography, poster, and packaging examples

Poster Text and Packaging Design

Create layouts with clearer lettering, stronger visual hierarchy, and more dependable text for posters, signs, and product packaging.

Official Qwen Image 2.1 coherent storyboard generated from a character reference

Panoramas and Storyboards

Turn a character or scene reference into wider narratives, sequential frames, and coherent visual storytelling.

Qwen Image 2.1 Features That Change the Workflow

One model covers generation and editing while adding production-ready transparency, resolution, reference control, and typography.

Native RGBA Transparency

Generate regular RGB images or transparent RGBA output directly, edit transparent layers, and extract subjects without a separate background-removal pass.

Native 2K and Multiple Aspect Ratios

Create square, portrait, landscape, and widescreen compositions with native 2K detail for design, commerce, and publishing workflows.

Up to 10 Reference Images

Use the model's multi-reference architecture to compose several people or products while retaining important identity and appearance cues.

Circle, Paint, and Mask-Guided Edits

Identify exactly what should change with circles, painted marks, or separate masks, then preserve the rest of the image.

Stronger Text, Product, and Portrait Fidelity

Produce more legible typography, refined portrait lighting, realistic textures, and consistent product details in both generation and editing.

Production Uses for Qwen Image 2.1

Move from a prompt or one or two reference images to an asset that is easier to place, revise, and publish.

Transparent E-commerce Product Assets

Create isolated product images, catalog cutouts, campaign compositions, and reusable transparent PNG assets for storefronts.

Icons, Stickers, and Game Assets

Generate alpha-ready interface elements, character stickers, props, sprites, and layered creative resources.

Posters, Packaging, and Social Visuals

Combine image creation with clearer text rendering for campaigns, packaging concepts, announcements, and branded content.

Consistent People and Products

Carry recognizable subjects across scenes, outfits, compositions, and edits while retaining key visual identity.

Generate and edit in one place

How to Use Qwen Image 2.1 on Z-Image

Start from text, switch to one or two reference images when you need more control, then continue refining the result.

1

Describe the Image

Write the subject, composition, style, lighting, text, and whether the output needs a transparent RGBA background.

2

Upload One or Two References to Edit

Open the image-to-image tab and upload one or two references when you want to change a scene, combine subjects, or refine an object, color, outfit, or background.

3

Generate, Review, and Refine

Choose the output size, generate the result, then make the next edit with a more specific instruction when needed.

Qwen Image 2.1 Prompt Examples

Use these patterns as a starting point, then replace the subject, style, and text with your own requirements.

Transparent PNG

Ask explicitly for RGBA output, an alpha channel, and a transparent background.

This is an RGBA image with transparency. A polished enamel rocket sticker with crisp edges and soft studio highlights. The image has an alpha channel and the background is transparent.

2K Product Visual

Specify materials, lighting, camera angle, background, and intended commercial layout.

Create a 2K studio product image of a matte-black smart speaker, three-quarter view, soft rim lighting, realistic fabric texture, subtle reflection, minimal warm-gray set, premium e-commerce art direction.

Multi-Reference Composition

Name the role of each reference and describe how they should appear together.

Combine the referenced people into one natural group portrait at a rooftop dinner. Preserve each person's face, hair, and clothing identity; match perspective and warm evening light across the scene.

Local Edit

State the selected region, the exact change, and what must remain untouched.

Inside the marked area, replace the blue jacket with a tailored cream trench coat. Keep the face, pose, hands, background, camera angle, and lighting unchanged.

Text Poster

Put required text in quotes and define hierarchy, typography, and layout.

Design a vertical coffee festival poster that clearly reads ‘NIGHT BREW’ and ‘SEPTEMBER 28’. Bold condensed headline, clean supporting text, copper and midnight-blue palette, editorial grid, premium print texture.

Qwen Image 2.1 Model Information

Qwen Image 2.1 is a unified text-to-image and image-editing model with a 7B visual generation component, a Qwen3-VL text encoder, and a 64-channel RGBA autoencoder built for native transparency.

Visual generator

7B parameters

Native output

2K image generation

Color format

RGB and RGBA

Reference capacity

Up to 10 images

Qwen Image 2.1 supports model workflows with up to 10 reference images. The Z-Image editor on this page currently accepts one or two references per edit, while the 10-image figure remains the model-level capacity.

Supported ecosystem

The official release includes support across Diffusers, ComfyUI, vLLM-Omni, SGLang, LightX2V, and ModelScope. Z-Image presents generation plus one- or two-reference editing through the shared web workflow above.

Qwen Image 2.1 FAQ

Answers about native RGBA output, 2K generation, image editing, references, and text rendering.








Create with Qwen Image 2.1 on Z-Image

Generate native 2K RGBA images or upload one or two references and make a focused edit in the same workspace.

Qwen Image 2.1 – Native 2K RGBA Image Generator & Editor