Turn finished music into ready-to-publish videos with synced captions
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
Lite: $19/month with 700 credits/month, post 5 videos per month, 1 brand kit. Start: $39/month with 1,500 credits/month, post 10 videos per month, 1 brand kit. Pro: $99/month with 4,000 credits/month, post 50 videos per month, 5 brand kits. Yearly billing available with 2 months free. Additional cre
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Auto-synced lyric captions with word-level accuracy
Multiple export formats: 9:16 vertical and 16:9 widescreen
Brand kits with custom logos, colors, and outros
Direct YouTube publishing via OAuth
Auto-transcription of vocals
API access for automation
Credit-based pricing model
Support for multiple audio formats up to 100 MB
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
Converts finished music into publishable videos in minutes without manual editing work
One-click direct publishing to YouTube with title, description, and tags automatically filled in
Auto-synced captions at word level rather than requiring manual lyric entry
Support for multiple faceless channels with separate brand kits
API available for programmatic automation of video creation workflows
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