# QwenLM/Qwen-Image

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

Repository: https://github.com/QwenLM/Qwen-Image
Canonical: https://ross.abutalabs.com/products/qwen-image
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-02-10T07:37:37+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 35, longevity 28
- inputs: {"age_days": 395, "days_push": 204, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8265, forks 538 (observed 2026-08-28T04:10:19.944636+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: image-processing, machine-learning, deep-learning, llm-inference
- domain: artificial-intelligence, image-processing, deep-learning, large-language-models
- platform: python
- tags: text-to-image, image-editing, diffusion-model, mmdit, text-rendering, foundation-model, qwen, gpu, linux, docker

## Member repositories
- QwenLM/Qwen-Image (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:19.944636+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:28:10.978241+00:00, confidence not recorded.
  - readme: https://github.com/QwenLM/Qwen-Image (fetched 2026-08-28T04:10:19.944636+00:00, sha 324c2284fbdc)
- Data as of 2026-08-30T08:39:29.467469+00:00.