# Alpha-VLLM/Lumina-Image-2.0

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Repository: https://github.com/Alpha-VLLM/Lumina-Image-2.0
Canonical: https://ross.abutalabs.com/products/lumina-image-20
Homepage: https://arxiv.org/abs/2503.21758
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-05-22T05:44:56+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 83, release rhythm 35, longevity 41
- inputs: {"age_days": 585, "days_push": 103, "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 1013, forks 71 (observed 2026-08-28T04:03:13.803163+00:00)

## What it is
Lumina-Image 2.0 is an open-source 2.6B-parameter text-to-image generation framework built on a unified Next-DiT architecture with a unified captioner (UniCap). The repository provides training and inference code, Hugging Face checkpoints, Diffusers integration, and demo spaces.

## Use cases
- generate images from text prompts
- run a text-to-image model locally on GPU
- fine-tune a text-to-image model with LoRA
- integrate image generation into an app via diffusers
- compare open text-to-image models on benchmarks

## When to choose
- you need an open-weights, Apache-2.0 text-to-image model with Diffusers support
- you want a relatively small (2.6B) image generation model that is efficient to run
- you want to fine-tune or extend a DiT-based image generator

## When to avoid
- you need the absolute highest image quality from frontier closed models
- you have no GPU available
- you need video or audio generation rather than images

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, image-processing, llm-inference
- domain: artificial-intelligence, image-processing, deep-learning
- platform: python
- tags: text-to-image, diffusion-model, diffusers, image-generation, dit, open-weights, gpu, docker

## Member repositories
- Alpha-VLLM/Lumina-Image-2.0 (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.803163+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 2026-08-30T07:11:36.716401+00:00, confidence not recorded.
  - readme: https://github.com/Alpha-VLLM/Lumina-Image-2.0 (fetched 2026-08-28T04:03:13.803163+00:00, sha 635194e2f059)
  - homepage: https://arxiv.org/abs/2503.21758 (fetched 2026-08-29T13:11:06.724009+00:00, sha 7f16c1cab582)
  - site_page: https://info.arxiv.org/about/donate.html (fetched 2026-08-29T13:11:06.733319+00:00, sha cca9c3a11c56)
  - site_page: https://info.arxiv.org/about/ourmembers.html (fetched 2026-08-29T13:11:06.736524+00:00, sha 47cbc55ff1de)
  - site_page: https://info.arxiv.org/about (fetched 2026-08-29T13:11:06.738355+00:00, sha a1f16f915a9a)
  - site_page: https://info.arxiv.org/labs/index.html (fetched 2026-08-29T13:11:06.734998+00:00, sha b14a8d05a0ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.