Toast TusiArt
DomesticFree + PaidImage Generation
AI Art Platform for Anime & Manga with High Character Consistency
Developer:Toast AI Team
Toast TusiArtIntroduction
TusiArt is a leading domestic AI art platform for 2D anime-style content. It excels in generating anime characters, original character (OC) designs, fan art, and cel-shaded illustrations. Its core strength lies in consistent character generation: users can upload multiple reference images to maintain uniform character appearance across generated outputs, minimizing facial inconsistencies. The platform supports text-to-image, image-to-image, full ControlNet functionality, LoRA training, and prompt tag reverse engineering. A vast library of shared 2D LoRA models is available in the community, making it ideal for fan artists, OC creators, and 2D content creators. The prompt tag system aligns with anime community habits, supporting mixed Chinese and English tags. Advanced parameters are fully available. Free tier includes daily usage credits; paid membership unlocks higher compute power, priority queuing, and commercial usage rights.
Key Features of TusiArt
Key Product Features
- 1Text-to-image, Image-to-image, optimized for anime style.
- 2Fixed character, multiple image references to maintain consistent persona.
- 3ControlNet: Line Art, Pose, and Depth Control
- 4LoRA Training, Model Hub, Tag Inference
- 5Local Redraw, HD Upscaling
- 6Artworks & Prompts Community
TusiArt Pricing Plans
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Free Quota: Daily Free Uses
- 2Paid: Membership & Compute Top-up
- 3Billing: Points
- 4Private Deployment: Not Available
TusiArt Toast: User Guide
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:tusiart.com
- 1Entry: tusiart.com
- 2Sign Up: Phone Number
- 3Steps: Log in → Upload character reference image or enter prompts → Lock character → Generate
- 4Web
Toast TusiArtParameter Overview
Information compiled from public sources; official information prevails.
- Is data used for training?
- Users can disable their works from being used for model training.
- Underlying model
- SD Series 2D Fine-Tuning Model Aggregation
- Context length
- Not disclosed
- Multi-modal support
- Text input, reference image, line drawing input, image output
- Search Online
- Online search is not supported
- File Parsing
- Image and Character Reference Parsing
- Enterprise Edition and Deployment
- No public information available
- Compliance Certification
- No public information available
- Domestic Availability
- No public information available
Field Description:Will my input be used for model training, and can I turn this off?
Field Description:Primary models supported by the product, or the range of switchable models
Field Description:The maximum context size per conversation determines the length of documents it can read.
Field Description:Supported input and output formats, including text, images, audio, video, and files
Field Description:Supports real-time web search and provides source links?
Field Description:Supports uploading files and parsing capabilities, such as PDFs, spreadsheets, and code.
Field Description:Does it offer an enterprise edition, on-premises deployment, and team permission management?
Field Description:Publicly disclosed security compliance certifications and generative AI service filing status
Field Description:Convenience of access and supported payment methods in mainland China