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Qwen-Image-Edit

Qwen-Image Edit is a 20B MMDiT image editing model focused on prompt‑driven and reference‑based edits. It performs particularly well on product-oriented tasks and multi-angle product edits, showing strong adherence to reference images and generally good prompt following for placement and composition.

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Speed

Price

Inputs

Image

Outputs

Image

Lab

Alibaba Cloud

Qwen-Image-Edit in practice

More AI insights from our eval notes

Model summary

Alibaba Qwen image editing model. Moat is money: strong resource backing; Chinese foundation model labs are not far behind global peers.

Qwen-Image Edit is a 20B MMDiT image editing model focused on prompt‑driven and reference‑based edits. It performs particularly well on product-oriented tasks and multi-angle product edits, showing strong adherence to reference images and generally good prompt following for placement and composition. However, its style transfer capabilities are currently weak: it struggles to preserve subjects’ facial identity and fails to accurately capture specific artistic styles, often producing generic painterly looks with overly bright, cheerful colors and poor texture detail. When editing people, it tends to over-smooth skin and clothing, giving an airbrushed, somewhat unrealistic appearance, and hair (especially beards) can look synthetic. It may also slightly distort product scale, sometimes making objects larger than is realistic. Overall, Qwen-Image Edit is well-suited for product renders and general image edits where ultra-realistic texture, perfect identity preservation, or highly faithful artistic style transfer are not critical.

Capabilities

Image editingText guided editingReference guided editingProduct visualizationMulti angle consistencyInpainting and local editsStyle transfer basicFace editing limited realism

Suggested use cases

  • Product placement in lifestyle images
  • Multi-angle product editing and consistency
  • General image editing with prompt guidance
  • Reference-based product visualization
  • Marketing and e-commerce product imagery where slight airbrushing is acceptable

Qwen-Image-Edit sample outputs

Captured directly from our eval suite. Click any tile to inspect the full render.

Style transfer test
Style transfer test

“Transform into the style of a vintage rave poster”

EngineId: qwen-image-edit

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Seed: 3096967658

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Height: 1024

Edit parts of image test
Edit parts of image test

“Open up the cyborg's right part of their head and show the underlying electronics”

EngineId: qwen-image-edit

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Seed: 4136601344

•

Height: 1024

Product placement test
Product placement test

“Man enjoying a 'glif' beverage, sitting on a bench in a city street in Ghent, Belgium.”

EngineId: qwen-image-edit

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Seed: 2617032107

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Height: 1024

Product placement test
Product placement test

“Beer can from the back”

EngineId: qwen-image-edit

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Seed: 28584665

•

Height: 1024

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