# alembics/disco-diffusion

Repository: https://github.com/alembics/disco-diffusion
Canonical: https://ross.abutalabs.com/products/disco-diffusion
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2023-07-09T06:30:00+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1651, "days_push": 1151, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7397, forks 1087 (observed 2026-08-28T04:09:59.662781+00:00)

## What it is
Disco Diffusion is a Jupyter/Colab notebook that amalgamates diffusion models, techniques, and utilities for generating AI art and animations from text and image prompts. It supports 2D and 3D animation modes, keyframing, video input, and batch image generation.

## Use cases
- generate ai art from text prompts
- create animated videos with diffusion models
- run text-to-image generation in google colab
- make zooming diffusion animations with keyframes
- animate from a video input using diffusion
- batch generate stylized images with prompts

## When to choose
- you want a ready-to-run colab notebook for AI art without local setup
- you need animation features like 3D zooming and keyframing built on diffusion models
- you want to experiment with prompt-based image generation and batch settings

## When to avoid
- you need a production API or library for image generation in an application
- you want the latest diffusion models with active development
- you need a permissive license for commercial use

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: stable-diffusion, image-processing, machine-learning, deep-learning
- domain: artificial-intelligence, image-processing, graphics, media
- platform: python, cross-platform
- tags: diffusion-models, ai-art, notebook, colab, text-to-image, animation, generative-art, gpu

## Member repositories
- alembics/disco-diffusion (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:59.662781+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 2026-08-29T17:38:04.181549+00:00, confidence not recorded.
  - readme: https://github.com/alembics/disco-diffusion (fetched 2026-08-28T04:09:59.662781+00:00, sha fa787a23f44f)
- Data as of 2026-08-30T08:39:29.467469+00:00.