Alpha-VLLM/Lumina-mGPT-2.0

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1084 stars · 51 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Lumina-mGPT 2.0 is a stand-alone decoder-only autoregressive model trained from scratch that unifies a broad range of image generation tasks, including text-to-image generation, image pair generation, subject-driven generation, multi-turn image editing, controllable generation, and dense prediction. The repository provides inference code, finetuning code, and pretrained 7B checkpoints on Hugging Face.

Use cases

• generate images from text prompts
• edit images across multiple turns
• subject-driven image generation
• controllable image generation
• dense prediction from images
• generate image pairs
• finetune an autoregressive image model

When to choose

• you want a single autoregressive model covering many image generation and editing tasks
• you need pretrained 7B checkpoints with inference and finetuning code
• you prefer a non-diffusion, decoder-only approach to image generation

When to avoid

• you need a lightweight model for CPU-only or low-resource environments
• you only need a production-ready image generation API without research setup
• you require diffusion-based pipelines or ecosystem tooling around Stable Diffusion

Facets

library · maturity active

machine-learning deep-learning image-processing llm-inference artificial-intelligence deep-learning image-processing large-language-models python text-to-image autoregressive-model image-generation image-editing diffusion-free model-checkpoints finetuning gpu linux

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