# Tongyi-MAI/Z-Image

Repository: https://github.com/Tongyi-MAI/Z-Image
Canonical: https://ross.abutalabs.com/products/z-image
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-02-09T12:49:43+00:00

## Health v2 (maintenance only)
Score: 46/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 35, longevity 20
- inputs: {"age_days": 280, "days_push": 205, "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 11944, forks 813 (observed 2026-08-28T04:10:50.531934+00:00)

## What it is
Z-Image is a 6B-parameter text-to-image generation foundation model family built on a single-stream diffusion transformer, with a distilled Turbo variant that runs in 8 function evaluations and fits in 16GB VRAM. The repository provides inference code, checkpoints, and demos for generating photorealistic images with bilingual (English/Chinese) text rendering.

## Use cases
- generate images from text prompts
- run fast text-to-image generation on consumer GPUs
- render text inside generated images in English and Chinese
- generate photorealistic images with a diffusion model
- run image generation locally with 16GB VRAM
- distill or fine-tune an image generation foundation model

## When to choose
- you need high-quality text-to-image generation with low inference latency
- you want bilingual text rendering in generated images
- you have a consumer GPU with 16GB VRAM and want local image generation
- you want an Apache-2.0 licensed image generation model you can self-host

## When to avoid
- you need video or audio generation rather than images
- you have no GPU and cannot run diffusion inference locally
- you need a hosted API without managing model weights yourself

## Facets
- artifact type: library
- maturity: active
- function: image-processing, machine-learning, deep-learning, llm-inference
- domain: image-processing, deep-learning, artificial-intelligence
- platform: python, cross-platform
- tags: text-to-image, diffusion-transformer, image-generation, diffusion-model, bilingual-text-rendering, model-weights, gpu, linux

## Member repositories
- Tongyi-MAI/Z-Image (main) score 46

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:50.531934+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 2026-08-29T17:15:03.183041+00:00, confidence not recorded.
  - readme: https://github.com/Tongyi-MAI/Z-Image (fetched 2026-08-28T04:10:50.531934+00:00, sha 390a1b8cc839)
- Data as of 2026-08-30T08:39:29.467469+00:00.