QwenLM/Qwen-Image

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

8265 stars · 538 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Qwen-Image is a 20B MMDiT image generation foundation model from the Qwen team, with strong complex text rendering (especially Chinese) and precise image editing capabilities. The repository provides inference code, model weights, and demos for text-to-image generation and image editing, including the newer Qwen-Image-2.0 release.

Use cases

• generate images from text prompts
• render text accurately inside generated images
• edit existing images with precise instructions
• create posters, infographics, and PPT-style visuals from descriptions
• generate Chinese text in images
• run a local text-to-image model on GPU

When to choose

• you need high-quality text rendering in generated images, especially Chinese typography
• you want a single model for both image generation and instruction-based editing
• you need an Apache-2.0 licensed image foundation model you can self-host

When to avoid

• you lack a capable GPU, since the 20B model is resource-heavy
• you only need lightweight or real-time image generation
• you want a hosted API without managing model weights yourself

Facets

library · maturity active

image-processing machine-learning deep-learning llm-inference artificial-intelligence image-processing deep-learning large-language-models python text-to-image image-editing diffusion-model mmdit text-rendering foundation-model qwen gpu linux docker

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markdown · JSON · MCP: product_card(name="QwenLM/Qwen-Image")