Free AI image to video generator that brings photos to life with motion
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 credits for new accounts (no card required, includes watermark). Paid plans: Basic $15.9/month (1,200 credits), Pro $29.9/month (3,000 credits), Max $69.9/month (8,000 credits). One-time credit pack: 600 credits for $9.9 (30-day validity). All plans include full access to all models and waterma
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Multiple AI models (Veo, Kling, Seedance, Wan)
Motion and camera control with prompts and templates
HD and 4K video output options
First & Last Frame for guided transitions between images
Multiple reference images for consistency
Support for anime, illustrations, and artwork animation
Multiple aspect ratios (16:9, 9:16, 1:1)
Cinematic camera movement and visual effects
Watermark-free exports on paid plans
Encrypted history storage
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 AI image-to-video models in one account instead of switching between platforms
No editing experience or software required
Transparent credit costs shown before generation
Free credits to start with no card required
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