Qwen-Image-Edit
Image editing model built on Qwen-Image with semantic, appearance, and bilingual text edits.
About
Precise text rendering inside edited pictures sets Qwen-Image-Edit apart: built on the 20 billion parameter Qwen-Image foundation, it can add, delete, or modify Chinese and English text in an image while preserving the surrounding font, size, and style. The Qwen team routes the input image simultaneously into Qwen2.5-VL for semantic control and a VAE encoder for appearance control, letting one model cover high-level edits like style transfer, object rotation, and character reinterpretation as well as low-level ones like adding, removing, or recoloring a single element without disturbing the rest of the frame. Dated iterations released as Qwen-Image-Edit-2509 and 2511 added multi-image composition and consistency improvements, keeping the family among the most downloaded open editing models on Hugging Face. Inference runs through the Diffusers QwenImageEditPipeline on a CUDA GPU, with community quantizations and ComfyUI support extending reach to consumer cards. Weights and code are Apache-2.0, so commercial use is unrestricted.
Should you use Qwen-Image-Edit?
Pick it when
You need commercially usable instruction editing, especially adding or changing Chinese or English text inside an image while matching font and style, or multi-image composition with the 2509 and 2511 releases.
Look elsewhere when
Your GPU is small: the 20B model needs community quantizations to fit consumer cards, and FLUX.1 Kontext is lighter at 12B if its deployment license is acceptable. For simple object removal, IOPaint is far cheaper.
Alternatives to Qwen-Image-Edit
- FLUX.1 Kontext dev
Smaller 12B model known for consistent characters across rounds, but commercial deployment needs a paid BFL license where Qwen is Apache-2.0.
- Step1X-Edit
Also Apache-2.0, with a native reasoning edit model in v1p2, but needs 18GB even with FP8 offload and a per-version patched Diffusers.
- OmniGen2
Apache-2.0 model that handles generation and editing in one checkpoint, at about 17GB VRAM or half that with CPU offload, but no text-rendering focus.
- IOPaint (Lama Cleaner)
Far lighter, runs on CPU, and erases objects reliably, but cannot follow text instructions or edit typography.
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Details
- Category
- AI Image/Video Editing
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Added
- Jul 29, 2026
Tags
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