# aigc-apps/EasyAnimate

📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion

Repository: https://github.com/aigc-apps/EasyAnimate
Canonical: https://ross.abutalabs.com/products/easyanimate
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-03-06T11:41:28+00:00

## Health v2 (maintenance only)
Score: 20/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 10, release rhythm 8, longevity 62
- inputs: {"age_days": 874, "days_push": 545, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2270, forks 185 (observed 2026-08-28T04:06:33.094003+00:00)

## What it is
EasyAnimate is an end-to-end Python pipeline for high-resolution, long video and image generation based on transformer diffusion (DiT) models. It supports inference from pretrained models as well as training custom baseline and LoRA models, with VAE training and metadata preprocessing included.

## Use cases
- generate videos from text prompts
- train a custom text-to-video model
- train a LoRA for a specific video style
- generate high-resolution AI images
- preprocess video training metadata
- control video generation with pose or canny inputs

## When to choose
- you need an open-source text-to-video pipeline with training support
- you want to fine-tune or LoRA-train a diffusion transformer for video
- you need bilingual (Chinese/English) video generation with camera or trajectory control

## When to avoid
- you lack GPU resources, as video diffusion training and inference are compute-heavy
- you need a polished consumer app rather than a research pipeline
- you need real-time video generation

## Facets
- artifact type: library
- maturity: active
- function: deep-learning, machine-learning, video-processing, image-processing, llm-training
- domain: deep-learning, artificial-intelligence, image-processing
- platform: python
- tags: text-to-video, diffusion-transformer, video-generation, lora-training, vae, diffusers, image-generation, video, gpu, linux, docker

## Member repositories
- aigc-apps/EasyAnimate (main) score 20

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.094003+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 2026-08-30T02:41:49.350371+00:00, confidence not recorded.
  - readme: https://github.com/aigc-apps/EasyAnimate (fetched 2026-08-28T04:06:33.094003+00:00, sha 4ac9f7d9060a)
- Data as of 2026-08-30T08:39:29.467469+00:00.