AI video and image generator powered by leading models including Seedance 2.5, Kling 3.0, and Veo 3.1
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Pricing model
Freemium
Open source
Pricing
Free to start with pay-as-you-go credits from $20. Monthly subscription plans: Basic $20/month (900 credits), Pro $40/month (2000 credits), Max $80/month (4000 credits), Ultra $140/month (7200 credits), Studio $220/month (12000 credits). Annual plans available with 20% discount.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Text-to-video generation with multiple AI models
Image-to-video animation
Reference-to-video generation with character consistency
AI video editing and extension
AI video upscaling
Text-to-image and image-to-image generation
Native audio and music generation
4K and 1080p broadcast-ready output
Multi-language support for global audiences
Access to 10+ leading AI models in one place
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
Videos generated with sound included in single generation
Seedance 2.5 supports up to 30-second clips with up to 30 reference images plus reference videos and audio
Multi-shot videos with scene transitions and cinematic camera work
No technical skills required with results ready in minutes
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