LiblibAI is China's leading AI image creation platform and model sharing community. It provides Wenshengtu, Tushengtu, online ComfyUI, LoRA model training and video generation capabilities. It is an AI image and design platform that integrates creation and model ecology.

LiblibAI

Core parameters and statistics

LiblibAI is a rare dual role of "platform + community" in the field of domestic AI image creation. It is not only a drawing tool, but also a model sharing community - a large number of creators upload, download and reuse LoRA, Checkpoint and other models here, and at the same time, they can run the ComfyUI workflow online to generate pictures and videos.

Projects	Public Information
Official positioning	China's leading AI image creation platform and model sharing community
Core Competencies	Vincentian Pictures, Picture-based Pictures, Online ComfyUI/WebUI, LoRA Training, Video Generation
Community Features	Massive LoRA/Checkpoint model sharing and reuse
Delivery form	Web online platform + API
Collaboration capabilities	Team collaboration (members can add seats)
Place of Belonging	China

Dual value of platform + community: The core barrier of LiblibAI is the community model ecology. Creators can not only use style models trained by others, but also upload their own models to be reused by others. This network effect is difficult to replicate with simple drawing tools.

Online ComfyUI lowers the threshold: ComfyUI, which originally required local deployment and complex configuration, is moved to the cloud to run online, allowing users without high-end graphics cards to run complex workflows.

User and market recognition

LiblibAI is widely regarded as one of the most mainstream AI painting model communities in China. It aggregates style models uploaded by a large number of creators and is an important node in the domestic Stable Diffusion ecosystem. Its online ComfyUI and team collaboration capabilities also extend it from individual creators to team/enterprise scenarios. As can be seen from the official website, it has been connected to third-party video models such as Seedance, and focuses on team collaboration and membership systems.

The official has not disclosed unified precise data such as the number of registrations, number of models, or paying users within the verifiable scope of this article. The relevant scale is subject to the official real-time disclosure of LiblibAI, and no numerical inference is made here.

Cost advantage

LiblibAI adopts the cost structure of "free points + membership + volume":

• C-side points: You can get points every day after logging in (the official website shows that you will get 20 points/day after logging in), which can be used to generate pictures and videos online; if the points are exhausted, they can be replenished through membership or purchase.
• Membership System: Members unlock more points, faster queues, permanent cloud storage space (the official website mentions about 3GB), free trials of massive membership models, and team collaboration seats.
• Third-party models are billed by quantity: The connected video models such as Seedance are billed by duration/number of videos. During official website promotions, the unit price can be as low as a certain number of minutes/second (subject to real-time activity).

Free truth: LiblibAI’s free credits are more friendly to picture creation, but online ComfyUI runs complex workflows and video generation faster, and high-frequency creation, team collaboration and high-definition videos still require membership or pay-as-you-go. Think of it as "Completely Free ComfyUI in the Cloud" and you'll hit the top in no time.

Main functions

• Image generation: Generate pictures and pictures based on massive community models, supporting rich styles.
• Online WebUI / ComfyUI: Run Stable Diffusion workflow in the cloud without the need for a local high-end graphics card.
• LoRA model training: Users can train their own style models and share them with the community.
• Video Generation: Access video models (such as Seedance), supporting image conversion to video and video creation.
• Team Collaboration: Members can add collaboration seats to support team sharing models and workflows.
• Model Community: Browse, download and reuse massive community models, and participate in the creative ecosystem.

Expert’s perspective: LiblibAI’s hidden linkage is superimposed on the “community model + online workflow + team collaboration”. From a single point of view, each function has its opponents, but by connecting "massive reusable models" to "Cloud ComfyUI" and superimposing "team collaboration", a complete production line from model selection to workflow implementation to team reuse is formed - which is very attractive to teams that need to stably produce stylized materials.

Model and version evolution

• Model Community Edition (~2023): The AI painting model sharing community is online, integrating a large number of LoRA/Checkpoint.
• Online ComfyUI and video version (~2025): Online ComfyUI, video generation and team collaboration launched.
• Current online version (~2026-06): Improve the points system, team collaboration, and access third-party video models such as Seedance.

The precise version and release date of the underlying and third-party models have not been officially disclosed one by one. The above is a general outline. It is recommended to verify the current capabilities on the real-time page of the official website.

Technical advantages

• Community Network Effect: Massive creators continue to upload and reuse models, forming a self-reinforcing content ecosystem. This is the most difficult asset of the platform to be copied.
• Cloud ComfyUI Engineering: Migrate complex local workflows to the cloud for online operation, lowering the hardware threshold and ensuring consistent operating conditions.
• Multi-model integration: Access third-party video models on the basis of its own ecosystem, allowing the platform to quickly cover the complete link from images to videos.

How to use

Entrance	Applicable objects	How to use
Web page	Personal creator	After logging in, select image/video generation and apply the community model to produce pictures
Online ComfyUI	Advanced Creator	Build and run workflows in the cloud, no local graphics card required
LoRA training	Model author	Upload materials to train style models and publish them to the community
Team collaboration	Team/Enterprise	Members can add seats and share models and workflows

Typical usage steps: Log in to LiblibAI → Receive daily points → Select image generation or online ComfyUI → Apply community model or build workflow → Generate images/videos and download them.

Product Pricing

LiblibAI adopts the model of “free points + membership + volume-based”:

• Log in to receive points every day, suitable for daily picture creation.
• Members unlock more points, faster queues, cloud storage and team seats, and the prices are tiered.
• Accessed video models are billed based on duration/number of videos, and the unit price is lower during the event (subject to real-time events on the official website).

The specific points rules, membership levels and video unit prices will be adjusted according to the activities. This article does not have a fixed amount, so it is recommended.

Application scenarios

• Second Dimension/Illustration Creation: Batch-produce specific style works based on community style models.
• E-commerce and marketing materials: Use workflow to batch generate product images, concept images and marketing visuals.
• Team Creation: Teams share models and workflows to unify styles and improve collaboration efficiency.
• Image to video: Convert static works into dynamic content with the help of the connected video model.

Applicable people

• AI Painting Creator: Individual users who rely on community models and pursue specific painting styles.
• Advanced/Workflow Players: Users who want to run ComfyUI in the cloud and avoid local configuration.
• Content/Marketing Team: A team that requires teamwork and stable style output.
• Not suitable for the crowd: Light users who are completely unwilling to learn the concepts of models and workflows and just want to produce pictures with one click may feel that the platform functions are too professional; strictly commercial copyright controllable scenarios require additional verification of model authorization.

Summary and Outlook

LiblibAI's core competitiveness lies in "model community + online ComfyUI + team collaboration": it integrates massive reusable models, cloud workflow and collaboration capabilities into a creative production line, and extends to the video track by accessing third-party video models. Current limitations include limited official disclosure of accurate operating data and version nodes, high costs for complex workflows and video generation, and the commercial authorization of community models needs to be verified one by one.

It is worth observing the iteration of LiblibAI in video capabilities, team collaboration and model ecology in the future. For creators and teams, it is an important platform for the domestic AI painting ecosystem; before commercial use, it is recommended to confirm the licensing terms of the model used and then decide to include it in the official workflow.

Related tools: Midjourney, stable-diffusion

Version Info

• LiblibAI online version ：The current online version provides image generation, video generation, online WebUI/ComfyUI, LoRA training, team collaboration and massive community models, and is connected to third-party video models such as Seedance. New users can receive points every day after logging in. There is no official precise release date, specific capabilities and models yet. （~2026-06）
• Online ComfyUI and video version ：LiblibAI launches online ComfyUI workflow, video generation and team collaboration capabilities, expanding from a simple model community to a creation platform that can run complex workflows online. There is no official precise release date yet. （~2025）
• LiblibAI Model Community Edition ：LiblibAI is launched as an AI painting model sharing community, integrating a large number of LoRA/Checkpoint models and online text drawing capabilities, establishing the positioning of "model community + online creation". There is no official precise release date yet. （~2023）