All-in-one AI creation workspace for images, videos, audio, and campaign assets
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Open source
Pricing
Free plan available with selected image and video model access and 1 task at a time. Paid monthly and yearly plans with varying credits; yearly billing offers up to 50% savings compared to monthly. Specific plan names and prices require sign-in to view. Additional credits available as one-time purch
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-image generation
Text-to-video generation
Image-to-image transformation
Image-to-video animation
Background and object removal
Image upscaling and enhancement
Video upscaling and enhancement
Lip sync and video editing
AI Studios for specialized workflows
Multiple AI model options
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
What makes it different
Unified workspace for images, videos, and audio without switching platforms
Multi-step creation where outputs become inputs for further refinement
Access to multiple leading AI models in one platform
Specialized Studios for common creative workflows
Credit-based flexible pricing for different tools and models
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