Create AI videos from photos using trending TikTok and Reels templates
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
Paid
Open source
Pricing
One-time credit packs: 50 credits for $4.49, 100 credits for $7.99, 300 credits for $21.99, 600 credits for $39.99. Monthly subscriptions: Monthly plan at $20.99/month (350 credits), Creator plan at $41.99/month (700 credits). Template costs range from 50 to 100 credits per video.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
121 trending templates covering dance, pets, comedy, and duos
1080p video generation with no watermark
Powered by Seedance 2.5 by ByteDance
Videos available silent or with original sound
Generation takes 10-15 minutes with email delivery
Credit-based pricing from 50 to 100 credits per video
Failed generations return credits automatically
Video deletion after 7 days unless downloaded
No account required for one-time purchases
Optional monthly subscription plans with rollover credits
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 prompt writing required; templates handle everything
One-time credits never expire
Trending TikTok and Reels content built-in
Refunds available within 7 days for unused credits
Works for people, pets, and combinations with pre-designed routines
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