Faceless AI video generator that writes, voices and publishes to TikTok, Instagram Reels and YouTube Shorts
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
DE
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Pricing model
Freemium
Open source
Pricing
Free: 500 coins at sign-up, up to 5 videos per month, no credit card required. Creator: €15/month (3,000 coins/month). Pro: €29/month (6,000 coins/month). Agency: €79/month (18,000 coins/month). Enterprise: €199/month (50,000 coins/month). Individual video costs range from 27-30 coins (30-second sta
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
20 video templates for different content types
AI-written scripts with hooks for chosen video length
Natural voiceovers with free neural and premium voices
AI-illustrated stories with consistent characters
Stock footage, custom uploads, and AI-generated visuals
Built-in music library in twelve moods
Auto-Pilot scheduled posting on daily, weekly or custom schedules
Engage inbox for managing comments across platforms
Insights dashboard with exportable PDF reports
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
Automatic refunds if video generation fails
Full editorial control with pre- and post-render editing
Made and posted on schedule without studio or editor
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