# nateraw/stable-diffusion-videos

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

Repository: https://github.com/nateraw/stable-diffusion-videos
Canonical: https://ross.abutalabs.com/products/stable-diffusion-videos
Language: Python
License: Apache-2.0
License Family: permissive
Topics: ai-art, huggingface, huggingface-diffusers, machine-learning, stable-diffusion
Last push: 2025-12-16T08:16:07+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 57, release rhythm 29, longevity 100
- inputs: {"age_days": 1457, "days_push": 260, "days_rel": 260, "gap_med": 451, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4705, forks 444 (observed 2026-08-28T04:08:57.257204+00:00)

## What it is
A Python library for generating videos with Stable Diffusion by walking the latent space and morphing between text prompts. It supports beat-synced music videos and is built on Hugging Face diffusers.

## Use cases
- generate videos from stable diffusion prompts
- morph between two text prompts in latent space
- make ai art videos synced to music
- create smooth transitions between generated images
- walk the stable diffusion latent space
- make music videos with stable diffusion

## When to choose
- you want prompt-to-prompt morph videos with stable diffusion
- you want audio-driven interpolation synced to a song
- you want a simple pip-installable API on top of diffusers

## When to avoid
- you need text-to-video models like ModelScope or AnimateDiff
- you need real-time or production video generation at scale
- you have no GPU available

## Facets
- artifact type: library
- maturity: maintenance
- function: stable-diffusion, video-processing, image-processing, machine-learning
- domain: artificial-intelligence, image-processing, media
- platform: python, cross-platform
- tags: stable-diffusion, latent-space, text-to-video, diffusers, ai-art, music-videos, huggingface, video, gpu

## Member repositories
- nateraw/stable-diffusion-videos (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:57.257204+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:19:11.273589+00:00, confidence not recorded.
  - readme: https://github.com/nateraw/stable-diffusion-videos (fetched 2026-08-28T04:08:57.257204+00:00, sha 6acd52ec07a3)
  - registry_pypi: https://pypi.org/pypi/stable-diffusion-videos/json (fetched 2026-08-29T09:03:03.121254+00:00, sha 1188341644a9)
- Data as of 2026-08-30T08:39:29.467469+00:00.