# alibaba/Tora

[CVPR'25]Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Repository: https://github.com/alibaba/Tora
Canonical: https://ross.abutalabs.com/products/tora
Homepage: https://ali-videoai.github.io/tora_video
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-07-27T02:22:01+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 94, release rhythm 35, longevity 49
- inputs: {"age_days": 689, "days_push": 38, "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 1241, forks 60 (observed 2026-08-28T04:04:06.426756+00:00)

## What it is
Tora is Alibaba's official implementation of a trajectory-oriented Diffusion Transformer (DiT) for controllable video generation, integrating textual, visual, and trajectory conditions. It lets users generate videos whose object motion follows user-specified trajectories, with support for text-to-video and image-to-video via SAT and diffusers weights.

## Use cases
- generate videos following a drawn object trajectory
- text-to-video generation with motion control
- image-to-video generation with controllable dynamics
- research on trajectory-conditioned diffusion transformers
- create videos where objects move along custom paths

## When to choose
- you need fine-grained control over object motion paths in generated video
- you want a research-grade DiT video model with published weights
- you're exploring trajectory-conditioned video generation

## When to avoid
- you need a polished end-user video creation app
- you lack a GPU or don't want to run large diffusion models locally
- you need simple text-to-video without motion control

## Facets
- artifact type: library
- maturity: active
- function: video-processing, machine-learning, deep-learning, image-processing
- domain: deep-learning, computer-vision, artificial-intelligence
- platform: python
- tags: diffusion-transformer, text-to-video, image-to-video, trajectory-control, motion-control, video-generation, research-code, cvpr-2025, video, gpu, linux

## Member repositories
- alibaba/Tora (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:06.426756+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 2026-08-30T05:08:28.003641+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/Tora (fetched 2026-08-28T04:04:06.426756+00:00, sha 7f35fd18d104)
  - homepage: https://ali-videoai.github.io/tora_video (fetched 2026-08-29T12:20:32.937844+00:00, sha b60da1d5db1c)
- Data as of 2026-08-30T08:39:29.467469+00:00.