AI character animation and replacement with precise facial expressions and movements
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
Free: 5 credits for new users (5 seconds at 480p). Paid plans: Lite $9.90/month (600 credits/month), Pro $29.90/month (2000 credits/month), Max $79.90/month (8000 credits/month), Ultra $159.90/month (20000 credits/month).
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Character animation with precise facial expressions and body movements
Character replacement in existing videos
Spatially-aligned skeleton signals for body motion control
Environmental integration with relighting LoRA
Unified framework for animation and replacement tasks
Wan 2.2 Mixture-of-Experts architecture
HD-quality video downloads
Commercial use allowed
Priority processing queue
Video generation time of 1-3 minutes
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
Combines motion capture precision with AI flexibility for professional-quality animation
One unified framework handles both animation and replacement tasks
Seamless environmental integration preserving original lighting and color tone
Free to start with 5 credits for new users
State-of-the-art Wan 2.2 technology with Mixture-of-Experts architecture
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