AI influencer videos for your app, same face every time
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
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Open source
Pricing
Free: unlimited UGC videos with public influencers. Professional: $14.99/month or $139.49/year (150 credits/month). Business: $49.99/month or $449.49/year (600 credits/month). Credit packs: Starter Pack 50 credits $9.99, Creator Pack 150 credits $24.99, Studio Pack 400 credits $59.99. 50% off first
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
AI influencers with consistent face across videos
App footage automatically embedded in finished videos
TikTok, Reels and Shorts format (9:16 vertical)
Create multiple video hooks from one scene
Stories: daily talking episodes
CLI and API access
Claude Code and MCP server integration
Full HD downloads without watermark on paid plans
Available on web, iOS, Android and command line
Video production in approximately 4 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
Same AI influencer face persists across all videos automatically
Create finished videos in 4 minutes instead of days
Test multiple hooks without renegotiating or reshooting
Characters look natural with realistic skin and phone framing, not over-polished
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