FlyAIgh
Inicio/Modelos/Qwen Image 2.0
por Alibaba

Generacion de imagen con Qwen Image 2.0

Alibaba's Qwen Image 2.0 — strongest Chinese + English text rendering on FlyAIgh, unified text-to-image and image-editing in one model. 2.0 and Pro variants.

Qwen Image 2.03 cr/imageQwen Image 2.0 Pro5 cr/image

FlyAIgh es una plataforma independiente que provee una interfaz unificada a Qwen Image 2.0 y otros modelos de IA. No estamos afiliados, respaldados ni patrocinados por Alibaba.

Variantes y parametros de Qwen Image 2.0

ParametroQwen Image 2.0Qwen Image 2.0 Pro
Duracion
Proporciones1:1 · 16:9 · 9:16 · 4:3 · 3:41:1 · 16:9 · 9:16 · 4:3 · 3:4
Resolucion
Audio nativo
Imagen-a-video
Referencia-a-video
Creditos por segundo
Costo clip 5 segundos3 cr/image5 cr/image

Que es Qwen Image 2.0?

Qwen Image 2.0 is Alibaba's production image generation model and the strongest option on FlyAIgh for any image that needs readable Chinese text — posters, packaging, signage, social cards in CJK contexts. Where most image models struggle with non-Latin scripts (producing noisy lookalike characters), Qwen Image renders clean Chinese characters that match the prompt, and matches GPT Image 2's quality on English in-image text too.

The family ships two variants. Qwen Image 2.0 is the standard model at 3 credits per image — the same price tier as Nano Banana 2 and Seedream. Qwen Image 2.0 Pro is the higher-fidelity variant at 5 credits per image — finer detail, better photorealism, stronger composition handling for complex prompts.

Both variants are unified — text-to-image and image-to-image (edit) run on the same model id with the platform auto-routing based on whether you supply a reference image. This is unusual on FlyAIgh: GPT Image 2, Nano Banana Pro and WAN 2.7 Pro all use separate model ids for t2i vs i2i, and Qwen's unified approach keeps prompt iteration in a single context. You can supply 1 reference image for editing.

Five aspect ratios are supported (1:1, 16:9, 9:16, 4:3, 3:4). Output sizes match the other tier-3 image models — comparable to Nano Banana 2 at 3 credits and to WAN 2.7 Pro at 5 credits.

Qwen Image is particularly strong at Chinese and English text rendering, brand-asset composition, Asian aesthetics and photorealism. It is weaker than Midjourney v7 for distinctive artistic style and weaker than WAN 2.7 Pro for raw 4K detail. Pick Qwen Image when bilingual text legibility or unified t2i/i2i flow matters most.

On FlyAIgh, Qwen Image runs through Alibaba Cloud Bailian without a separate Alibaba Cloud account, API key or Mainland China registration required.

Qwen Image 2.0 vs GPT Image 2 vs Nano Banana

CapacidadQwen Image 2.0GPT Image 2Nano Banana
Audio nativo
Imagen-a-video
Referencia-a-video
Primer/ultimo fotograma

Preguntas frecuentes sobre Qwen Image 2.0

What is Qwen Image 2.0?+
Qwen Image 2.0 is Alibaba's production image generation model. Its headline strength is bilingual text rendering — clean Chinese and English characters in-image, where most models produce noisy lookalike glyphs.
How much does Qwen Image cost on FlyAIgh?+
Qwen Image 2.0 is 3 credits per image — the standard variant, same tier as Nano Banana 2 and Seedream 5.0 Lite. Qwen Image 2.0 Pro is 5 credits per image — the higher-fidelity variant, same tier as Nano Banana Pro and WAN 2.7 Pro.
What's the difference between Qwen Image 2.0 and Pro?+
Pro has finer detail, better photorealism and stronger composition handling for complex prompts. Use 2.0 for everyday work and prompt iteration; switch to Pro for hero shots and final deliverables.
Does Qwen Image support image editing?+
Yes — both variants are unified: text-to-image and image-to-image (edit) run on the same model id. Supply 1 reference image plus a text instruction and Qwen Image produces an edited version. No need to switch between separate models.
How well does Qwen Image render Chinese text?+
Very well — this is the model's headline strength. The training emphasized character-level fidelity for Chinese characters as well as English, so you can produce legible posters, packaging, signage and social cards in both languages without resorting to text-overlay in post.
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