Independent AI and IT Studio
Model research with practical engineering discipline.
PrySai Lab focuses on AI image model R&D around Illustrious, NoobAI, Pony, FLUX, and Z-Image format workflows, while building applied work around LLM content systems and memory-oriented AI tooling. We prioritize transparent scope, reproducible process, and steady iteration over inflated claims.
Operational Scale
Measured usage from the last year.
Across public and online generation channels, recent usage has accumulated into a meaningful operating baseline. These figures describe activity volume and delivery scale, not quality claims or market ranking.
Based on the last 12 months of service activity across public and hosted channels.
Online generations started
In the last year, online image generation services have been started more than 7 million times across supported workflows and service channels.
AI artworks generated
Generated output has exceeded 10 million AI artworks, reflecting sustained usage rather than one-time promotional volume.
Users served
Services and model access have reached more than 50 thousand users through open distribution and online generation products.
Distribution
Current public channels and service availability.
At present, PrySai Lab mainly provides open-source distribution on CivitAi and online generation plus customized subscription services on SeaArt. These channels serve different user needs and access patterns.
CivitAi
PrySai Lab currently provides open-source model access and public distribution through CivitAi for users who prefer direct discovery, download, and community-based iteration.
Open-source profileSeaArt
SeaArt is currently used to provide online generation access and customized subscription-oriented services, offering a more direct hosted experience for end users.
Service profileFocus Areas
What we are building now
Current work stays grounded in measurable tasks: model behavior tuning, workflow tooling, and content architecture for language systems. We document constraints and trade-offs so progress remains honest and useful.
Image Model Pipeline
Training and evaluation workflows for diffusion-style and related creative model formats, with attention to consistency, controllability, and deployment fit.
LLM Content Systems
Applied language model structures for studio documentation, assistant-like workflows, and practical prompt and process standardization.
AI Memory Layer
Early-stage memory modules for context persistence and retrieval quality, aimed at improving continuity in agent and assistant scenarios.
Working Principles
Objective by default, ambitious by method.
We do not present prototypes as finished products. Public-facing statements are kept factual, and outputs are framed by current maturity and known limitations.
Scope Control
Clear boundaries for each cycle: what is being tested, what is shipped, and what remains experimental.
Documentation First
Design and model decisions are recorded to improve repeatability and reduce handoff risk.
Infrastructure Awareness
Web delivery, caching, and runtime constraints are treated as part of product quality, not afterthoughts.
Resource Index
Internal navigation and external references
This section lists internal documentation pages and external public references used for context. Links are provided for traceability and crawlability.