# dreamoving/dreamoving-project

Official implementation of DreaMoving

Repository: https://github.com/dreamoving/dreamoving-project
Canonical: https://ross.abutalabs.com/products/dreamoving-project
License: Apache-2.0
License Family: permissive
Last push: 2024-01-09T16:20:15+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 71
- inputs: {"age_days": 1000, "days_push": 967, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1788, forks 95 (observed 2026-08-28T04:05:36.422152+00:00)

## What it is
DreaMoving is the official implementation of a diffusion-based controllable video generation framework from Alibaba that produces high-quality customized human videos. It generates videos of a target person driven by text prompts and pose guidance.

## Use cases
- generate videos of a person dancing from a single image
- create customized human videos with text prompts
- animate a face and identity onto pose sequences
- research diffusion-based video generation
- produce controllable human motion videos

## When to choose
- you need identity-preserving human video generation from a reference image
- you want to experiment with pose-guided diffusion video synthesis
- you need a research baseline for controllable human video generation

## When to avoid
- you need production-grade, actively maintained video generation tooling
- you lack a GPU or don't want to run heavy diffusion models locally
- you need general-purpose video editing rather than human video synthesis

## Facets
- artifact type: library
- maturity: maintenance
- function: video-processing, machine-learning, deep-learning, image-processing
- domain: deep-learning, computer-vision, artificial-intelligence
- platform: python
- tags: diffusion-models, video-generation, human-video, controllable-generation, text-to-video, research-code, video, gpu, linux

## Member repositories
- dreamoving/dreamoving-project (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:36.422152+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 2026-08-30T03:23:20.233935+00:00, confidence not recorded.
  - readme: https://github.com/dreamoving/dreamoving-project (fetched 2026-08-28T04:05:36.422152+00:00, sha 1053efeaea6e)
- Data as of 2026-08-30T08:39:29.467469+00:00.