Generate Roblox R15 animations by describing a move or filming it
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free plugin (Motion Lab). Credit packs: 25 credits for $20, 100 credits for $20 (save 29%), 250 credits at standard price. Monthly plans: Starter $9/month (50 credits), Pro $29/month (250 credits), Studio $79/month (1,000 credits). One credit costs approximately 18¢ in Starter, 11.6¢ in Pro, and 7.9
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Generate 4 animation versions from one text prompt
Free Motion Lab plugin for Roblox Studio
Text-to-motion generation with up to 10 seconds per prompt
Video-to-motion capture supporting 1 to 8 people
Export to FBX for Unity, Unreal, and Blender
AI agent integration with Claude Code, Codex, or Cursor
Speech-to-motion generation from audio recordings
Library storage for saved animations
Animation generation history and retention
Preview animations on your R15 character before saving
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
No mocap suit or marker system required
AI-generated animations look natural and actually work
Alternative to expensive Mixamo packs
Flexible credit system with no mandatory subscription
Commercial use allowed for generated animations
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