AI music creation platform for generating complete songs from prompts or lyrics
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 plan with 25 sign-up credits (4 songs) and 7-day cloud storage; Starter at $8.3/month or $99/year with 6,000 annual credits (1,200 songs), advanced models, 1,200 MP3 downloads, and commercial license; Pro at $25/month or $300/year with 24,000 annual credits (4,800 songs), unlimited downloads (M
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Generate complete songs from text prompts or lyrics
Advanced AI models (V5, V5.5, R2)
Remix and extend existing tracks
Add or remove vocals from tracks
Separate audio into individual stems
MIDI editing in browser
Audio analysis with key and tempo detection
AI mastering
Commercial licenses for generated music
Royalty-free music with clear usage rights
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
All-in-one workspace combining song generation with editing and refinement tools
No music production experience needed to create complete tracks
Multiple AI model options including advanced V5, V5.5, and R2
Unlimited downloads and generations on highest plan
Commercial usage rights available on paid plans
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