Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Lite Monthly $14.9/month (1,200 credits/month, approximately 120 videos); Plus Monthly $30/month (3,000 credits/month, approximately 300 videos); Pro Monthly $50/month (5,200 credits/month, approximately 520 videos). Yearly plans available with up to 50% savings.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-video generation from prompts
Image-to-video conversion
AI avatar with realistic lip sync and expressions
UGC ad video generation from product images
Motion control for camera dynamics
Long video generation for multi-scene storytelling
Video upscaling and restoration
Character builder for consistent characters
AI image generation and editing tools
Multi-model access including Kling, Sora, Veo, Wan, and Seedance
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
Character-consistent video generation across multiple scenes and models
Commercial use rights with no watermarks included in all plans
Access to multiple leading AI video and image models in one platform
Complete content ownership with full control over visibility and usage
Comprehensive creative suite covering video, image, and avatar generation
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