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Stable Video Diffusion Review 2026: Free Image-to-Video Model

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A free, open-weights model that animates a single still image into a short 14 or 25 frame clip, with no text prompt input.

4.50/5 (150 reviews)
Last updated: May 21, 2026

Stable Video Diffusion Image to Video: An Overview

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.

Image-to-video model
Category
generates clips from a single still image
Free research use
Pricing
commercial terms vary
Self-hosted
Key feature
full customization
June 2026
Updated

Table of Contents: Stable Video Diffusion Review Guide

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.

Stable Video Diffusion Quick Summary

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

What Is 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.

Stable Video Diffusion Open Source: Who It Suits

  • Video content creators Creators who need to generate short video clips from a single still image, with customizable frame rates between 3 and 30 fps and output lengths of 14 or 25 frames.
  • Developers and enterprises Teams that want to deploy Stable Video Diffusion on their own infrastructure using the open weights for advanced customization and control.
  • AI researchers and hobbyists Individuals interested in exploring open generative AI models for video generation, leveraging the model's foundation on Stable Diffusion.
  • Businesses seeking fast video production Organizations that need short video generation (4 seconds or less) for prototyping or other time-sensitive applications.
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 GPU Requirements and Specs

Image-to-Video

Video from a Still Image

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.

Custom Frame Rates

Flexible Frame Generation

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.

Short Clip Speed

Clip Length and Speed

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.

Self-Hosted Deployment

Deploy on Your Own Infrastructure

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.

Open-Source Foundation

Built on Stable Diffusion

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.

Is Stable Video Diffusion Free to Use?

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.

PlanPriceWhat You Get
Community LicenseFreeResearch, non-commercial, and commercial under $1M revenue
Enterprise licenceCustomRequired 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.

Stable Video Diffusion Hugging Face Pros and Cons

Where Stable Video Diffusion Is Strong
  • Animating Still ImagesStable Video Diffusion is a generative video model that creates video outputs from a single still image used as the first frame.
  • Custom Frame RatesThe model is capable of generating 14 and 25 frames at customizable frame rates between 3 and 30 frames per second.
  • Short Clip SpeedStable Video Diffusion generates clips of 4 seconds or less.
  • Self-Hosted DeploymentYou can deploy Stable Video Diffusion on your own infrastructure using its open weights for advanced customization.
Where Stable Video Diffusion Needs Care
  • Model BasisStable Video Diffusion extends Stable Diffusion's latent diffusion architecture with added temporal layers for video, released by Stability AI in 2023.
  • Frame Generation DetailsThe model card lists 14 frames for SVD and 25 frames for SVD-XT; it does not describe other fixed frame counts.
  • Processing TimeSpeed depends on hardware: about 100 seconds per clip for SVD and about 180 seconds for SVD-XT on an NVIDIA A100 80GB GPU at default settings, with lower-VRAM cards possible at a quality/speed trade-off.
  • LicensingThe model is free to self-host under the Stability AI Community License for research, non-commercial use, and commercial use by individuals or organizations under $1M annual revenue; above $1M needs an Enterprise licence with custom pricing.

Stable Video Diffusion Workflows and Use Cases

Animating Still Images

Create video outputs from a single still image using Stable Video Diffusion's generative video model, enabling rapid content creation from simple images.

Custom Frame Rate Control

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.

Short Clips

Produce clips of 4 seconds or less, with about 100 to 180 seconds of processing per clip on an NVIDIA A100 80GB GPU.

Self-Hosted Deployment

Deploy Stable Video Diffusion on your own infrastructure using its open weights, allowing advanced customization and integration into your existing environment.

How Do You Start With ComfyUI Stable Video Diffusion?

1

Self-host Stable Video Diffusion using the open weights under the Stability AI Community License.

2

Animate a single still image into a 14 or 25 frame clip at 3 to 30 fps.

3

Review the generated clip since the model takes no text prompt input.

4

Confirm commercial terms for your use case against the Stability AI Community License.

Stable Video Diffusion Tutorial: Is It Worth Learning?

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.

Pika Labs Stable Video Diffusion vs Sora and Others

Decision AreaStable Video DiffusionWhen Another Option Wins
Animating Still ImagesStable 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 ControlGenerates 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 SpeedCreates 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.
DeploymentCan be self-hosted on your own infrastructure using its open weights.Cloud-based tools may be easier to use without technical setup.
Open-Source FoundationBased on Stable Diffusion's latent diffusion architecture with added temporal layers.Proprietary tools may offer more polished user interfaces or support.

Stable Video Diffusion vs OpenAI Sora

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.

Stable Video Diffusion vs Google Gemini

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 FAQ

What is Stable Video Diffusion?

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.

What frame rates and frame counts does Stable Video Diffusion support?

Stable Video Diffusion can generate 14 and 25 frames at customizable frame rates between 3 and 30 frames per second.

How fast does Stable Video Diffusion generate videos?

Stable Video Diffusion generates clips of 4 seconds or less.

Can Stable Video Diffusion be deployed on my own infrastructure?

Yes, Stable Video Diffusion can be deployed on your own infrastructure using its open weights, allowing advanced customization.

What is the image-to-video capability of Stable Video Diffusion?

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.

Key Takeaways

  • Stable Video Diffusion is an image-to-video model that AI Video Generators workflow tool.
  • It should be compared with related AI tools in the same category before buying.
  • It delivers more value when connected to business systems and governed with human review.

Best Stable Video Diffusion Alternatives

  • Runway - a hosted alternative with editing tools, Standard $15/month ($12 billed yearly, 625 credits), versus SVD's free open weights.
  • Pika - hosted and simpler, Standard $8/month billed yearly (700 credits), versus SVD's free open weights.
  • Luma Labs - hosted Dream Machine, Plus $30/month, closed-source, versus SVD's free open weights.
  • OpenAI Sora - retired (app April 2026, API September 2026), a reminder of the risk of closed hosted services.
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

Use Cases

Text-to-video generation

14 or 25 frames

3-30 fps output

Self-hosted deployment

Free research use

Quick Answers

How much does Stable Video Diffusion cost?

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.

How do I get a license for Stable Video Diffusion?

Stable Video Diffusion is available via a Self-Hosted License, which can be obtained through the 'Get license' option on the model's page.

What is the maximum frame rate for Stable Video Diffusion?

Stable Video Diffusion supports customizable frame rates between 3 and 30 frames per second.

Stable Video Diffusion

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Pricing Plans

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Details
Community License
Free

Research, non-commercial, and commercial under $1M revenue

Enterprise licence
Custom

Required for commercial use over $1M revenue

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