LibreAI / Image / stable-diffusion-videos
// image Β· nateraw/stable-diffusion-videos

stable-diffusion-videos

Create πŸ”₯ videos with Stable Diffusion by exploring the latent space and morphing between text prompts

β˜… 4.7k starsβ‘‚ 443 forksApache-2.0updated 2025-12
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

stable-diffusion-videos is an open-source image project by nateraw (nateraw/stable-diffusion-videos on GitHub). It has 4,710 GitHub stars and 443 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 16 December 2025.

GitHub stars
4,710
Forks
443
License
Apache-2.0
Last updated on GitHub
16 December 2025
Category
Image
Listing
Full install guide
Official site
GitHub repo
// how it works

How it works

  1. Choose the right tool

    Generation studio, upscaler, background remover, or photo library β€” match the tool to the task.

  2. Install it your way

    Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.

  3. Add models if needed

    Generation tools need checkpoint files; utilities like upscalers usually bundle everything.

  4. Create or organize

    Generate, enhance, or import β€” then export, share, or keep building your library.

// features

Why people love it

ML-powered

Machine learning is baked into the core workflow, not bolted on.

Model freedom

Bring any compatible open checkpoint; you are never locked to one vendor's style.

Runs locally

Your images stay on your machine β€” important for client work and privacy.

No subscriptions

The defining trait of this whole category: professional results without monthly fees.

Non-destructive

Edits stay reversible; originals are never touched.

Batch processing

Run whole folders through upscalers and converters unattended.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/nateraw/stable-diffusion-videos.git
    cd stable-diffusion-videos
  2. Step 2 β€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project's launch command β€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains stable-diffusion-videos?

It is an open-source project at nateraw/stable-diffusion-videos with 443 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is stable-diffusion-videos free for commercial use?

Apache 2.0 licensed β€” commercial use allowed with attribution.

Can they match Midjourney quality?

With the right open checkpoints, absolutely β€” the interface matters less than the model you load.

Are they free for commercial work?

Mostly yes under MIT/Apache/GPL β€” but verify each license, especially for client deliverables.

Do I need a powerful GPU?

Generation benefits hugely from one; upscalers and photo managers are far lighter.

// keep exploring

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// alternatives

Alternatives in Image

The most-starred other Image projects in the LibreAI catalogue β€” the realistic shortlist if stable-diffusion-videos is not the right fit.

Get stable-diffusion-videos

Free and open β€” grab the source, star the repo, and start creating.