
AI painting model community and online...
One of the easiest Stable Diffusion online platforms in China, with classic + ComfyUI workflow mode for beginners and advanced users. 50 free daily credits generate ~50 images. Plans CNY/day, lowest entry among peers. ComfyUI editor is the core differentiator with drag-and-drop complex workflows. Triple-platform (web + WeChat + iOS) provides rare mobile accessibility. Particularly suited for AI painting beginners, mobile creators, and users seeking online ComfyUI alternatives.
TusiArt (Tensor.Art) is an AI painting model community and online generation platform by Shanghai Biyouhuixiang Technology. It offers classic and ComfyUI-based workflow modes, covering anime, Chinese style, realistic, and game design models. Features online LoRA training, ControlNet, and community sharing on web, WeChat Mini Program, and iOS.
Difficulty: Beginner Friendly
Dual-mode AI Generation
Classic mode for quick prompts, workflow mode via ComfyUI visual editor for complex creation
Massive Models Online
Anime, Chinese style, realistic, game design models all runnable online without download
Online LoRA Model Training
Upload datasets to train custom LoRA models online, usable or sharable after training
Cross-platform Access
Available on web, WeChat Mini Program, and iOS APP for creating AI art anywhere
AI Painting Beginner Entry
Beginners start AI creation with simple prompts or community one-click feature
Online ComfyUI Workflow Creation
Advanced users configure complex workflows via drag-and-drop without local ComfyUI setup
Mobile Anytime Creation
Create AI paintings on mobile via WeChat Mini Program or iOS APP during spare time
TusiArt provides 50 free daily credits for ~50 images. Free users generate up to 2 per batch with 14-day history. Choose 3 CNY/day trial or 24.9 CNY/month membership for more.
Workflow mode is a ComfyUI visual editor for drag-and-drop complex pipelines including pose control, inpainting, multi-model chaining. Suited for advanced users.
Real reviews and feedback from users