AI video generator that creates cinematic videos from text prompts or images
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
Freemium
Open source
Pricing
BASIC: $19/month (billed annually, 50% off from $29), 3,000 credits/month. PRO: $39/month (billed annually, 50% off from $59), 8,000 credits/month. ULTRA: $89/month (billed annually, 50% off from $129), 18,000 credits/month.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-video generation from detailed prompts
Image-to-video workflow with reference images
Temporally consistent motion across frames
Cinematic camera control with framing and tracking
Native audio generation synchronized with video
Flexible generation settings for aspect ratio and duration
Reusable creation library for prompts and assets
Watermark-free outputs
Access to all AI models
Commercial use 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
Native audio generation synchronized with video from the same prompt
High visual consistency and temporal coherence across frames
Precise prompt adherence for complex scenes and motion control
Independent workspace with flexible model selection and settings
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