Stable Diffusion Video – AI-Powered Video Generation from Images
Stable Diffusion Video transforms text or images into fluid, stylized video sequences leveraging generative AI to create visually stunning content frame by frame.
What is Stable Diffusion Video (Stable Video Diffusion)?
Stable Video Diffusion is an experimental text‑to‑video and image‑to‑video technology developed by Stability AI, built on the Stable Diffusion architecture. It generates short clips from text prompts or still images, supporting up to 30 FPS and lengths of around 2–5 seconds. The models SVD and SVD‑XT output sequences of 14 and 25 frames respectively.
What is Stable Diffusion Video (Stable Video Diffusion)?
Stable Video Diffusion is an experimental text‑to‑video and image‑to‑video technology developed by Stability AI, built on the Stable Diffusion architecture. It generates short clips from text prompts or still images, supporting up to 30 FPS and lengths of around 2–5 seconds. The models SVD and SVD‑XT output sequences of 14 and 25 frames respectively.
What is Stable Diffusion Video (Stable Video Diffusion)?
Stable Video Diffusion is an experimental text‑to‑video and image‑to‑video technology developed by Stability AI, built on the Stable Diffusion architecture. It generates short clips from text prompts or still images, supporting up to 30 FPS and lengths of around 2–5 seconds. The models SVD and SVD‑XT output sequences of 14 and 25 frames respectively.
How does Stable Video Diffusion work?
The model operates as a latent video diffusion system:
For image-to-video, it converts a single still image into a panning or animated clip.
For text-to-video, it generates short sequences directly from prompts.
Videos are produced within ~2 minutes on a standard GPU, at customizable frame rates (3–30 FPS).
How does Stable Video Diffusion work?
The model operates as a latent video diffusion system:
For image-to-video, it converts a single still image into a panning or animated clip.
For text-to-video, it generates short sequences directly from prompts.
Videos are produced within ~2 minutes on a standard GPU, at customizable frame rates (3–30 FPS).
How does Stable Video Diffusion work?
The model operates as a latent video diffusion system:
For image-to-video, it converts a single still image into a panning or animated clip.
For text-to-video, it generates short sequences directly from prompts.
Videos are produced within ~2 minutes on a standard GPU, at customizable frame rates (3–30 FPS).
What benefits does it offer?
Fully open-source and self-hostable, with weights available via GitHub and Hugging Face.
In internal user studies, it surpassed models like Pika Labs and Runway in user preference.
Processable on local hardware using mid-to-high-end GPUs or via Stability AI's API platform.
What benefits does it offer?
Fully open-source and self-hostable, with weights available via GitHub and Hugging Face.
In internal user studies, it surpassed models like Pika Labs and Runway in user preference.
Processable on local hardware using mid-to-high-end GPUs or via Stability AI's API platform.
What benefits does it offer?
Fully open-source and self-hostable, with weights available via GitHub and Hugging Face.
In internal user studies, it surpassed models like Pika Labs and Runway in user preference.
Processable on local hardware using mid-to-high-end GPUs or via Stability AI's API platform.