ImageAnonymized

Qwen Image 2

Alibaba's unified image generation and editing model with professional bilingual typography and native 2K output.

Generate imageGet API key
Provider
Alibaba
Price
$0.05 / image
Max resolution
2048 × 2048 (native 2K)
Released
February 10, 2026
License
Proprietary

What is Qwen Image 2?

Qwen Image 2 is Alibaba's next-generation image foundation model, released in February 2026. It unifies text-to-image generation and image editing in a single architecture, featuring professional-grade Chinese and English text rendering, native 2K resolution, and strong benchmark performance on generation leaderboards.

Use it privately on Venice

On Venice, Qwen Image 2 runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. You pay a flat $0.05 per image with no subscription, making it a permissionless way to generate and edit visuals privately without Big-Tech surveillance.

Anonymized
No prompt training
TEE · hardware enclave
End-to-end encrypted

What can it do?

Strengths
  • Professional typography rendering across Chinese and English — handles long-form text, infographics, posters, comics, and calendars with precise layout alignment.
  • Unified generation and editing pipeline — add text, calligraphy, or new elements to existing images without switching models.
  • Native 2K resolution output with strong semantic adherence to complex prompts.
  • Lightweight architecture enabling fast inference while maintaining benchmark competitiveness.
  • Strong performance on generation leaderboards including AI Arena ELO.
Limitations
  • Closed weights — Qwen Image 2 is not open-source and cannot be self-hosted, despite earlier Qwen-Image v1 weights being Apache 2.0.
  • 2K max resolution trails behind 4K-capable rivals such as GPT Image 2 and Nano Banana 2.
  • No tool use, vision input, or web search capabilities available on Venice.
  • Not uncensored — safety filters may block certain prompts.

Sample outputs

Generated on Venice with our standard prompt suite — the same prompts we run through every model of this type, so you can judge it like-for-like.

In-image textIn-image text

A retro travel poster with the bold headline "VENICE" in large condensed serif type, sunset color palette, clean layout

PhotorealismPhotorealism

Photorealistic close-up portrait of a weathered fisherman at golden hour, 85mm lens, shallow depth of field, natural skin texture

Instruction-followingInstruction-following

A small red cube balanced on top of a large glossy blue sphere, with a green cone to the right, plain light-grey studio background

Illustration styleIllustration style

Cozy watercolor illustration of a hillside village in autumn, warm tones, soft paper texture

Compare every image model on these prompts

How to use it via API

Venice exposes this model through the REST API. Queue a generation with qwen-image-2.

curl https://api.venice.ai/api/v1/image/generate \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-2",
    "prompt": "A serene mountain lake at dawn, photorealistic"
  }' --output image.png

Specifications

MakerAlibaba (Qwen team)
ReleasedFebruary 10, 2026
ModalityText-to-image, image-to-image (unified editing)
ArchitectureEncoder-decoder (8B Qwen3-VL encoder → 7B diffusion decoder)
Max resolution2048 × 2048 (native 2K)
Open weightsNo — proprietary API-only
Aspect ratios1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4, 4:5
Prompt limit10,000 chars
Privacy on VeniceAnonymized — prompts not stored
Available on Venice sinceMar 2026

Pricing

Flat per-image pricing on Venice: $0.05 per generation.

Generation
$0.05
Upscale 2×
$0.02
Upscale 4×
$0.08

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

Qwen Image 2 vs alternatives

ModelMax resolutionStrongest atOpen weightsPrice (Venice)
Qwen Image 22048 × 2048Typography & unified editingNo$0.05 / image
Flux 2 MaxPhotoreal detailNo$0.09 / image
Nano Banana 2Speed & multi-image fusionNofrom $0.10 / image
ChromaOpen-source generationYes$0.01 / image

The leader for bilingual in-image text and unified generation-plus-editing.

What is it good for?

  • Marketing assets and infographics that require accurate bilingual text rendering.
  • Professional presentations, posters, and comics with structured text layouts.
  • Image editing workflows — adding calligraphy, inscriptions, or cross-dimension elements to existing photos.
  • Product mockups and movie posters demanding realistic textures at 2K resolution.
  • Social content requiring precise typographic control.

Prompting tips

  • Put the exact text you want rendered inside quotation marks in the prompt.
  • Use detailed layout instructions (e.g., 'title top-center, chart below, caption bottom-right') to leverage the model's long-context understanding.
  • Start with a base generation, then use the editing capability to refine or add text without re-rolling from scratch.

Version history

Qwen Image
2025

Predecessor — 20B MMDiT model with open weights under Apache 2.0.

Qwen Image 2
2026-02

CurrentCurrent — unified generation and editing, proprietary, native 2K.

Frequently asked questions

Qwen Image 2 is Alibaba's next-generation image foundation model, launched in February 2026. It unifies text-to-image generation and image editing in a single architecture, with native 2K output and professional-grade bilingual text rendering.

Venice charges a flat $0.05 per image. Optional upscaling is $0.02 for 2× and $0.08 for 4×. There is no subscription required.

It is not free or open source. While the earlier Qwen-Image v1 repository is Apache 2.0, Qwen Image 2.0 weights are proprietary and available only via API. You cannot self-host it.

Qwen Image 2 wins on typography, layout instruction-following, and unified editing. Flux 2 Max leads on raw photorealistic detail and offers open-weight variants elsewhere. Choose Qwen for text-heavy designs; choose Flux for pure imagery.

No. On Venice, Qwen Image 2 does not support tool use, vision input, or web search. It is a dedicated image generation and editing model.

Yes. It supports native image-to-image editing — you can upload an image and instruct the model to add text, objects, or styles without switching to a separate editing pipeline.

Native 2K (2048 × 2048). Venice also supports optional 2× and 4× upscales after generation.

Yes. Venice runs the model under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. There is no personal generation history tied to your identity.

Venice supports 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4, and 4:5.

Related models

Run Qwen Image 2 privately.

No prompt logging. No data used for training. Free to start — no credit card.

Room