AI video studio for text-to-video, image-to-video, and video continuation with Wan 2.5, Seedance 2, and Kling v3
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Startup
Not given
Founded
2026
Not given
Based in
Not given
Not given
Pricing model
Paid
Open source
Pricing
Lite: $9.90/month (1,000 credits/month) or $99/year; Pro: $29.90/month (3,500 credits/month) or $299/year; Max: $59.90/month (7,500 credits/month) or $599/year. Annual plans include two months at no extra cost. Per-model rates: Wan 2.5 50 credits for 5s at 720p, Seedance 2 125 credits for 5s at 720p
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-video generation
Image-to-video with first frame
Video continuation
Multiple model support (Wan 2.5, Seedance 2, Kling v3)
Credit estimate before generation
Automatic refund for failed generations
Multiple aspect ratios (16:9, 9:16, 1:1)
720p and 1080p resolution options
Native audio support when available
Video history tracking per account owner
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
Unified studio interface for multiple frontier video models without separate waitlists
Transparent pricing with automatic refunds for failed generations
Commercial use included with paid plans
Clear distinction between available models and early-access features
Fast, keyboard-accessible software interface
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