EasyAnimate
Alibaba's open DiT video pipeline for text-to-video, image-to-video, inpainting, and camera-controlled generation, up to V5.1 12B.
About
EasyAnimate is Alibaba's Platform of AI (PAI) team entry in open video generation, presented in the May 2024 paper 'EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture'. It extends the diffusion transformer with a Hybrid Motion Module (temporal plus global attention) and a Slice VAE that compresses the temporal axis, originally targeting long videos of up to 144 frames. The line has matured through V5 to the current V5.1 12B checkpoints, which split into text-to-video, inpainting (image/video-to-video), control (Canny, depth, pose, trajectory), and camera-control variants, generating 1 to 49 frames at 8fps across 256 to 1024px resolutions.
It is one of the better-supported open video stacks: official checkpoints on Hugging Face under alibaba-pai, a diffusers pipeline, Alibaba Cloud PAI notebook tutorials, and even Huawei Ascend NPU ports. The repo is Apache-2.0 with 2.3k stars and was updated in October 2026. There are no published benchmark scores, but the breadth of modes (especially camera control and inpainting) makes it a practical choice for controllable open video work.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
No published benchmark scores
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (metrics tier, metrics-v1). Evidence: Alibaba PAI paper arXiv 2405.18991 (May 2024); GitHub aigc-apps/EasyAnimate (2.3k stars, Apache-2.0 confirmed via GitHub API, updated Oct 2026); V5.1 12B checkpoints on HF (alibaba-pai) with diffusers support; Alibaba Cloud PAI docs. Strengths: unusually broad control modes, first-party cloud tutorials, permissive license. Docked for: (1) no published benchmark scores; (2) 12B checkpoints are heavy for consumer GPUs. License: Apache-2.0, confirmed via GitHub API.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 9.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · Alibaba PAI; paper arXiv 2405.18991 (May 2024); 2.3k stars
- · V5.1 12B checkpoints: T2V, InP, Control, Control-Camera; 1-49 frames at 8fps
- · Diffusers pipeline, Alibaba Cloud PAI tutorials, Huawei Ascend ports
- · No published benchmarks; 12B checkpoints heavy for consumer GPUs