MagicAnimate Playground

Posted on December 03, 2023 MagicAnimate Temporally Consistent Human Image Animation using Diffusion Model Visit GPTsHunter to Discover the best GPTs → MagicAnimate Demos What is Magic Animate? Magic Animate (Github) is an exciting new open source project that allows you to produces an animated video from a single image and a motion video. As everyone's on the lookout for AnimateAnyone, MagicAnimate just dropped and it's seriously awesome! MagicAnimate, a cutting-edge diffusion-based framework for human image animation. This innovative tool excels in maintaining temporal consistency, faithfully preserving the reference image, and significantly enhancing animation fidelity. MagicAnimate stands out in its ability to animate reference images with motion sequences from various sources, including cross-ID animations and unseen domains like oil paintings and movie characters. It also integrates seamlessly with T2I diffusion models like DALLE3, bringing text-prompted images to life with dynamic actions. Who built MagicAnimate Magic Animate is built by Show Lab, National University of Singapore & Bytedance(字节跳动). Advantages of MagicAnimate Currently, it offers the highest consistency among all dance video solutions. Disadvantages of Magic Animate Some distortion in the face and hands (a recurring issue). In its default configuration, the style shifts from anime to realism, particularly noticeable in the faces in the videos. This might require modifying the checkpoint. The default DensePose-driven videos are based on real humans, so applying an anime style can result in changes to body proportions. AnimateAnyone VS MagicAnimate WIP. Since AnimateAnyone doesnot release yet, there is no demo we can try for Animate Anyone. Getting Started Please download the pretrained base models for StableDiffusion V1.5 and MSE-finetuned VAE. Download our MagicAnimate checkpoints. Installation prerequisites: python>=3.8, CUDA>=11.3, and ffmpeg. Install with conda: conda env create -f environment.yml conda activate manimate Try MagicAnimate online demo on huggingface Try MagicAnimate online demo on Replicate Please visit Magic Animate on Replicate Try MagicAnimate on Colab You can refer this tweet: How to Run MagicAnimate on Colab and theColab url Magic Animate API You can use Replicate API to generate animated video. import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, }); const output = await replicate.run( "lucataco/magic-animate:e24ad72cc67dd2a365b5b909aca70371bba62b685019f4e96317e59d4ace6714", { input: { image: "https://example.com/image.png", video: "Input motion video", num_inference_steps: 25, // Number of denoising steps guidance_scale: 7.5, // Scale for classifier-free guidance seed: 349324 // Random seed. Leave blank to randomize the seed } } ); How to generate Motion Video or convert video into Motion Video? OpenPose is a Real-time multi-person keypoint detection library for body, face, hands, and foot estimation You can convert a Motion Video to OpenPose with this model: video to openpose And then you can use this model:magic-animate-openpose to use OpenPose with MagicAnimate: magic-animate-openpose More information for Magic Animate Official MagicAnimate introduction MagicAnimate Paper.pdf MagicAnimate arXiv MagicAnimate GitHub Code MagicAnimate Demo --- MagicAnimate: 拡散モデルを使用した時間的に一貫性のある人間の画像アニメーション 2023年12月03日に投稿 Magic Animateとは何ですか？ Magic Animate（Github）は、単一の画像とモーションビデオからアニメーションビデオを生成する新しいオープンソースプロジェクトです。 AnimateAnyoneを待っている間に、MagicAnimateがリリースされ、非常に印象的です！（https://twitter.com/alexcarliera/status/1731785857609146673） 要約 MagicAnimateの紹介、人間の画像アニメーションのための最先端の拡散ベースのフレームワークです。この革新的なツールは、時間的一貫性の維持、参照画像の忠実な保存、アニメーションの忠実度の大幅な向上に優れています。MagicAnimateは、様々なソースからのモーションシーケンスで参照画像をアニメーション化する能力で際立っています。これには、クロスIDアニメーションや油絵や映画キャラクターなどの未知のドメインも含まれます。また、DALLE3などのT2I拡散モデルとシームレスに統合され、テキストプロンプトの画像をダイナミックなアクションで生き生きとさせます。 デモ 始め方 まず、StableDiffusion V1.5とMSE-finetuned VAEの事前学習済みベースモデルをダウンロードしてください。 次に、私たちのMagicAnimate チェックポイントをダウンロードしてください。 AnimateAnyone VS MagicAnimate 作業中です。 インストール方法 前提条件: python>=3.8, CUDA>=11.3, および ffmpeg。 condaでのインストール: conda env create -f environment.yml conda activate manimate オンラインで試す --- MagicAnimate: 확산 모델을 사용한 시간적으로 일관된 인간 이미지 애니메이션 2023년 12월 03일 게시됨 Magic Animate란 무엇인가요? Magic Animate(Github)는 단일 이미지와 모션 비디오에서 애니메이션 비디오를 생성하는 새로운 오픈 소스 프로젝트입니다. AnimateAnyone을 기다리는 동안 MagicAnimate가 출시되었으며 정말 인상적입니다! (https://twitter.com/alexcarliera/status/1731785857609146673) 요약 MagicAnimate 소개, 인간 이미지 애니메이션을 위한 최첨단 확산 기반 프레임워크입니다. 이 혁신적인 도구는 시간적 일관성을 유지하고, 참조 이미지를 충실히 보존하며, 애니메이션의 충실도를 크게 향상시키는 데 뛰어납니다. MagicAnimate는 다양한 소스의 모션 시퀀스로 참조 이미지를 애니메이션화하는 능력으로 두각을 나타냅니다. 이에는 크로스 ID 애니메이션과 기름 그림이나 영화 캐릭터와 같은 보이지 않는 도메인도 포함됩니다. 또한 DALLE3와 같은 T2I 확산 모델과 원활하게 통합되어 텍스트 프롬프트 이미지를 역동적인 동작으로 생생하게 만듭니다. 데모 시작하기 StableDiffusion V1.5 및 MSE-finetuned VAE의 사전 훈련된 기본 모델을 다운로드하십시오. 저희 MagicAnimate 체크포인트를 다운로드하십시오. AnimateAnyone VS MagicAnimate 작업 중입니다. 설치 설치 전제 조건: python>=3.8, CUDA>=11.3, 및 ffmpeg. conda로 설치: conda env create -f environment.yml conda activate manimate 온라인에서 시도해보기 --- MagicAnimate：使用扩散模型实现时间一致的人像动画 2023年12月03日发布 Magic Animate是什么？ Magic Animate（Github）是一个刚发布的开源项目，它可以从单张图片和一个动作视频中生成动画视频。 在大家都在等待 AnimateAnyone 的时候，MagicAnimate刚刚发布，而且非常厉害！（https://twitter.com/alexcarliera/status/1731785857609146673） 简介 MagicAnimate 是一个基于扩散的尖端人像动画框架。这个创新工具在保持时间一致性、忠实保留参考图像以及显著提高动画真实感方面表现出色。Magic Animate 在使用来自各种来源的动作序列为参考图像制作动画方面独树一帜，包括跨ID动画和未见领域如油画和电影角色。它还与 DALLE3 等 T2I 扩散模型无缝集成，将文本提示的图像带入生动的动作中。 Demo 演示 入门 请下载StableDiffusion V1.5和MSE微调VAE的预训练基础模型。 下载我们的MagicAnimate checkpoint。 AnimateAnyone 与 MagicAnimate 的i mgk 正在进行中。 安装 前提依赖条件：python>=3.8, CUDA>=11.3和ffmpeg。 使用conda安装： conda env create -f environment.yml conda activate manimate 在线测试 demo