A set of LoRA weights that accelerate and improve the Qwen-Image text-to-image model. It enables faster inference while maintaining quality. The model can be used with the Diffusers library and is compatible with various local apps and notebooks. It supports both English and Chinese prompts.
Qwen Image Lightning is an Image generation project. It focuses on generating high-quality images quickly from text prompts using a distilled and accelerated model. It is built as an open-source project for developers and creators using image generation. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
Behind Qwen Image Lightning is lightx2v, and it first shipped in 2025. The project is developed in the open on GitHub with 1.3k stars. Key capabilities include text-to-Image, LoRA Adaptation, and Fast Generation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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