LiblibAI

LiblibAI is a Chinese model-sharing community and online generation platform — think of it as Civitai plus a hosted WebUI, aimed at Chinese-speaking users.

It hosts a large library of community-uploaded Stable Diffusion and FLUX checkpoints and LoRA style models that you can run online without a local GPU. For creators in China it is the easiest place to find style models: it loads fast, the interface is in Chinese, and payment uses local channels.

Unlike a pure download site, it puts finding and using models side by side. See a LoRA you like, and you can generate with it straight away using its recommended settings, or train a LoRA of your own online. For anyone without a GPU who still wants the open-source ecosystem, this is the lowest-friction route.

Key features

• Model library: Filter community models by base model, style and use case; each comes with sample images and recommended settings.
• Online generation: A WebUI-like interface where you pick a checkpoint and LoRAs and generate, no local install needed.
• Workflows: Supports ComfyUI-style node workflows, so you can run pipelines others have shared.
• Online LoRA training: Upload a set of images and train a style or character model in the cloud.
• Creator publishing: Model authors publish their work and build an audience, with incentives for popular creators.

How to use

1. Open liblib.art and create an account.
2. Search the model gallery by style, open a model, and review its samples and recommended parameters.
3. Click to generate online with that model loaded, write a prompt, adjust size and steps, and run.
4. To lock in a style or character, go to the training page, upload your images and train your own LoRA.

Best for

• Stable Diffusion users without a GPU: community models and workflows, run in the cloud.
• Hunting for a specific look: anime, Chinese traditional, product photography, architectural renders and more all have ready-made models.
• E-commerce and design teams: a trained LoRA produces batches of on-style assets.
• Learning open image generation: samples come with parameters, making it easy to reproduce results and see what each setting does.

Strengths and limitations

Strengths

• Direct access in China with a Chinese interface; speed and payment are smoother than overseas hubs.
• Finding and running models in one place, without configuring a local setup.
• A large catalogue, especially rich in styles suited to local tastes.

Limitations

• Model quality varies widely, so you need to curate and test.
• Check each author’s licence before commercial use of their model; base models carry their own commercial terms too.
• Some models were trained on material of unclear origin, which may raise copyright or likeness issues.
• Free credits are limited; high resolutions and heavy use need a membership.