# fudan-generative-vision/hallo2

[ICLR 2025] Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation

Repository: https://github.com/fudan-generative-vision/hallo2
Canonical: https://ross.abutalabs.com/products/hallo2
Homepage: https://fudan-generative-vision.github.io/hallo2
Language: Python
License: MIT
License Family: permissive
Last push: 2025-02-27T03:24:55+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 8, release rhythm 35, longevity 49
- inputs: {"age_days": 686, "days_push": 552, "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 3734, forks 542 (observed 2026-08-28T04:08:15.785257+00:00)

## What it is
Hallo2 is a Python research library from Fudan University that animates a single portrait image using audio input, producing long-duration (up to an hour) and high-resolution (up to 4K) talking-head videos. It was published at ICLR 2025 and ships with pretrained models on Hugging Face.

## Use cases
- generate a talking-head video from a photo and an audio clip
- animate a portrait image to match speech audio
- create lip-synced avatar videos in 4K
- make long-duration digital human presentations from one image
- produce talking avatar videos for virtual presenters
- research audio-driven portrait animation

## When to choose
- you need long (minutes to an hour) high-resolution talking-head videos from a single portrait
- you want a state-of-the-art open-source audio-driven animation model with pretrained weights
- you have GPU resources and are comfortable running Python research code

## When to avoid
- you need real-time animation or live streaming avatars
- you lack a capable GPU or want a lightweight consumer app
- you need simple lip-sync on existing video rather than animating a still image

## Facets
- artifact type: library
- maturity: active
- function: video-processing, machine-learning, deep-learning, speech-recognition
- domain: deep-learning, computer-vision, artificial-intelligence
- platform: python, cross-platform
- tags: talking-head, audio-driven-animation, portrait-animation, diffusion-models, lip-sync, generative-ai, iclr-2025, video, audio, gpu, linux

## Member repositories
- fudan-generative-vision/hallo2 (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.785257+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 2026-08-29T18:29:12.170315+00:00, confidence not recorded.
  - readme: https://github.com/fudan-generative-vision/hallo2 (fetched 2026-08-28T04:08:15.785257+00:00, sha a367827b6a4c)
  - homepage: https://fudan-generative-vision.github.io/hallo2 (fetched 2026-08-29T09:23:40.848123+00:00, sha 1e116b18fb7a)
- Data as of 2026-08-30T08:39:29.467469+00:00.