Free AI image to video generator that animates photos, morphs between frames, or builds scenes with up to 4K resolution and native audio
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
CN
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Pricing model
Freemium
Open source
Pricing
Free: 15 credits on signup. Starter: $9.9 USD/month with 450 credits/month. Pro: $19.9 USD/month with 1350 credits/month. Ultimate: $49.9 USD/month with 3600 credits/month. One-time credit packs available with no subscription. Grok Imagine 1.5: 2.4 credits per second at 480p, 4.5 at 720p, 8 at 1080p
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Animate single photos with motion and camera movement
Morph between two frames to show transitions
Build scenes from up to nine reference images
Generate native audio synchronized with video
Support for multiple AI models including Grok, Kling, and Seedance
Upload JPG, PNG or WebP images up to 30 MB
Access previous generations in My Assets
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 integrated with video, no separate editing needed
Flexible credit-based pricing with no mandatory subscription
Three distinct creation modes for different animation needs
Watermark-free commercial license included in 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