Open-source SDXL-based AI model for native high-resolution anime art generation
Your Personal AI Video Assistant, Open Source
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Open source
Not given
Pricing
Free for personal and research use; prohibits closed-source proprietary monetization
Free trial with daily starter allowance. Paid tier: Starter $5 one-time prepaid balance. Pro $30 top-up for $35 balance (+$5 bonus). Max $100 top-up for $125 balance (+$25 bonus). Per-action pricing: local jobs (downloading, transcription, captioning) 1¢ per job; video studio short 2¢; AI voice-over
Key features
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
Clipper for extracting 30–60s viral moments with Whisper transcription, AI hook detection and word-by-word captions
Video Studio pipeline assembling shorts from AI scripts, stock footage, AI voices and auto-mixed music
Motion Graphics with AI-composed kinetic typography, stat cards and lower-thirds rendered locally to MP4
AI Video generation from text, images or viral templates using multiple models (Veo, Seedance, Kling, Wan)
Music to Video converting songs into AI-generated pictures with lyric captions
Voice Cloning from 10–30 second audio samples running entirely on-device
Website to Video converting URLs into branded promo videos automatically
Personal assistant sending daily notes on trending content from followed creators with email and Telegram replies
156 MCP tools for Claude Code and Cursor enabling end-to-end video automation via AI agents
What makes it different
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives
Open source under AGPL-3.0 with full source code available on GitHub for auditing and self-hosting
Pay-per-use pricing with no subscriptions or auto-renewal, instead of $30–50/month with hidden usage caps
Local processing for downloads, transcription and rendering to keep cloud costs small and speed up workflow
No per-seat licensing for teams and agencies, just prepaid account credits regardless of team size