Open-source generative AI models for image, video, audio and 3D creation
Photo to video AI: turn one photo into a short animated video
Stage
Not given
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Founded
2022
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Based in
GB
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Pricing model
Freemium
Freemium
Pricing
Free for non-commercial use and for commercial use up to $1M annual revenue under Stability AI Community License. Enterprise License available for organizations with annual revenue exceeding $1M.
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Key features
Stable Diffusion 3.5 Large with 8.1 billion parameters for superior quality and prompt adherence
Stable Diffusion 3.5 Large Turbo generates high-quality images in 4 steps
Model requires only 9.9 GB of VRAM to unlock full performance
Diverse outputs with different skin tones and features without extensive prompting
Generates wide range of styles including 3D, photography, painting, line art
Stable Audio 2.0 generates full tracks up to three minutes at 44.1 kHz stereo
Stable Video Diffusion transforms images into 2-second high-quality videos
Fine-tuning and customization with Query-Key Normalization for flexible base models
ControlNets for Stable Diffusion 3.5 Large including Blur, Canny, and Depth
93 preset effects across 12 themed collections
Free watermarked preview without sign-in
Generates vertical 6 to 8 second MP4 videos
Holiday and seasonal effects including Valentine's Day, Easter, Halloween, Thanksgiving and Christmas
Photo-to-video effects like aging, zoom out to Earth, and red carpet scenes
Pet animation effects
Download as 720p MP4 without watermark or end card
Failed generations automatically return credits
One credit pack at a time, no batch generation
What makes it different
Runs on standard consumer hardware without heavy demands
Highly customizable models designed for flexible base to build upon
Ownership of generated outputs without restrictive licensing implications
Leads market in prompt adherence and rivals larger models in image quality
Pay once per video with no subscription required
One free watermarked preview per person before purchasing
93 preset effects curated and tested frame-by-frame by an independent maker
Results are private by default unless chosen to be shared