A free, open-weights model that animates a single still image into a short 14 or 25 frame clip, with no text prompt input.
Stable Video Diffusion is Stability AI's open image-to-video model, generating 14 or 25 frame clips at 3-30 fps, available for self-hosting under the Stability AI Community License.
Jump to the pricing, features, pros and cons, comparisons, FAQs, and alternatives. Explore more options in our AI Video Generators category to compare tools for your workflow.
Overall Rating: 4.5/5 | Free Plan: Free research use; commercial terms vary by revenue
Best For: creators, founders, and teams evaluating self-hosted image-to-video generation for recurring work
Pricing: pricing depends on revenue tier, licence type, and self-hosting
Last Updated: November 2026 | Version: Latest
Visit Stable Video Diffusion
Stable Video Diffusion is a generative video model built on Stable Diffusion, enabling image-to-video creation from a single still image. It supports 14 and 25 frames at customizable frame rates between 3 and 30 frames per second, with processing times of about 100 to 180 seconds per clip on an NVIDIA A100 80GB GPU. The model is positioned for flexible deployment, offering open weights for organizations seeking advanced customization within their own infrastructure. This aligns with Stability AI's broader mission of providing accessible, adaptable open generative AI models.
Professional reality: The open-weight model itself is free to self-host (and free commercially under the Stability AI Community License for organizations under $1M annual revenue). Above $1M annual revenue, commercial use needs an Enterprise licence with custom pricing.
Stable Video Diffusion is a generative video model that creates video outputs from a single still image used as the first frame, enabling users to bring still images to life as moving images.
Transform a single still image into short video content without manual animation.
The model is capable of generating 14 and 25 frames at customizable frame rates between 3 and 30 frames per second, giving users control over video smoothness and duration.
Tailor video output to match specific motion and pacing requirements.
Stable Video Diffusion generates clips of 4 seconds or less, with about 100 to 180 seconds of processing per clip on an NVIDIA A100 80GB GPU.
Plan around roughly 100 to 180 seconds of processing per clip on an A100 80GB GPU.
Stable Video Diffusion can be deployed on your own infrastructure using its open weights, allowing for advanced customization and full control over the model environment.
Maintain data privacy and customize the model to fit enterprise needs.
The model is based on Stable Diffusion's latent diffusion architecture with added temporal layers, part of Stability AI's commitment to open generative AI that is accessible, adaptable, and designed to empower creators, developers, and enterprises.
Leverage a proven, adaptable AI foundation for video generation.
Stability AI's Community License makes its models free for research, non-commercial use, and commercial use by individuals or organizations with under $1M in annual revenue. Research use is free at any revenue. Organizations over $1M in annual revenue using it commercially need an Enterprise licence with custom pricing, and the model is self-hosted.
| Plan | Price | What You Get |
|---|---|---|
| Community License | Free | Research, non-commercial, and commercial under $1M revenue |
| Enterprise licence | Custom | Required for commercial use over $1M revenue |
License terms checked against stability.ai/license in November 2026; terms can change, so confirm before you buy. For a broader comparison of leading platforms, see our roundup of the best AI video generators available today. Readers weighing platforms can also review OpenAI Sora vs Runway for a detailed comparison of two popular options.
Create video outputs from a single still image using Stable Video Diffusion's generative video model, enabling rapid content creation from simple images.
Generate videos with 14 or 25 frames at customizable frame rates between 3 and 30 frames per second, giving you precise control over motion smoothness and playback speed.
Produce clips of 4 seconds or less, with about 100 to 180 seconds of processing per clip on an NVIDIA A100 80GB GPU.
Deploy Stable Video Diffusion on your own infrastructure using its open weights, allowing advanced customization and integration into your existing environment.
Self-host Stable Video Diffusion using the open weights under the Stability AI Community License.
Animate a single still image into a 14 or 25 frame clip at 3 to 30 fps.
Review the generated clip since the model takes no text prompt input.
Confirm commercial terms for your use case against the Stability AI Community License.
Stable Video Diffusion is worth it for video content creators who need to generate short clips from a single still image at frame rates between 3 and 30 fps, and for developers and enterprises that want to deploy it on their own infrastructure using the open weights. AI researchers and hobbyists exploring open generative video models are also a fit. It is not for anyone who needs text-prompt input, since the model animates a still image only. Commercial users should check the Stability AI Community License, as pricing commercial terms vary.
| Decision Area | Stable Video Diffusion | When Another Option Wins |
|---|---|---|
| Animating Still Images | Stable Video Diffusion generates video outputs from a single still image used as the first frame. | Other tools like OpenAI Sora may offer more advanced image-to-video capabilities. |
| Frame Rate Control | Generates 14 and 25 frames at customizable frame rates between 3 and 30 frames per second. | Some competitors may offer higher frame rates or more frame options. |
| Processing Speed | Creates clips of 4 seconds or less, with about 100 to 180 seconds of processing per clip on an NVIDIA A100 80GB GPU. | Other tools may be faster for shorter clips or simpler inputs. |
| Deployment | Can be self-hosted on your own infrastructure using its open weights. | Cloud-based tools may be easier to use without technical setup. |
| Open-Source Foundation | Based on Stable Diffusion's latent diffusion architecture with added temporal layers. | Proprietary tools may offer more polished user interfaces or support. |
OpenAI Sora was another text-to-video model that generated video from text prompts before it was retired (web/app 26 April 2026, API 24 September 2026). While Stable Video Diffusion offers customizable frame rates and short clip generation, Sora was known for its high-quality, long-duration video generation. Videographers who want to build a complete production stack may find our guide to the best AI tools for videographers useful.
Choose Stable Video Diffusion if: You need a self-hosted, open-source video generation model with customizable frame rates and short clip generation. Choose OpenAI Sora if: It was retired in 2026, so pick hosted alternatives like Runway or Pika instead.
Google Gemini is a multimodal AI that can handle text, images, and video. While it's not specifically a video generation model, it can be used for video understanding and generation tasks. Stable Video Diffusion is more specialized for image-to-video generation.
Choose Stable Video Diffusion if: You need a dedicated image-to-video model with specific frame rate control. Choose Google Gemini if: You need a broader AI assistant that can handle multiple modalities beyond video generation.
Stable Video Diffusion is a generative video model based on Stable Diffusion that creates video outputs from a single still image used as the first frame.
Stable Video Diffusion can generate 14 and 25 frames at customizable frame rates between 3 and 30 frames per second.
Stable Video Diffusion generates clips of 4 seconds or less.
Yes, Stable Video Diffusion can be deployed on your own infrastructure using its open weights, allowing advanced customization.
Stable Video Diffusion is an image-to-video model, meaning it generates video outputs from a single still image used as the first frame; it cannot be controlled through text.
Bottom Line: Stable Video Diffusion is worth it for developers and teams who want an open, self-hostable image-to-video model instead of a closed API-only service. It is less compelling for non-technical users who want a simple hosted interface -- a consumer-facing tool may fit better there.
Last Updated: November 2026 | Reviewed by theaitoolsbox.com editorial team
Text-to-video generation
14 or 25 frames
3-30 fps output
Self-hosted deployment
Free research use
Stable Video Diffusion is free under Stability AI's Community License for research, non-commercial use, and commercial use by individuals or organizations under $1M in annual revenue; organizations over $1M in annual revenue using it commercially need an Enterprise licence with custom pricing.
Stable Video Diffusion is available via a Self-Hosted License, which can be obtained through the 'Get license' option on the model's page.
Stable Video Diffusion supports customizable frame rates between 3 and 30 frames per second.
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Check website for details
Research, non-commercial, and commercial under $1M revenue
Required for commercial use over $1M revenue
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