模型 profile

AnimateDiff AI 视频生成器

A foundational community project for adding motion modules to image diffusion models.

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是否适合使用 AnimateDiff?

适合用来做： motion modules, community workflows, stylized animation

Skip or compare first 的情况: Not a modern standalone foundation video model. Output quality depends heavily on the underlying image model and workflow.

定位： A foundational community project for adding motion modules to image diffusion models.

核心能力

  • Motion modules for diffusionAnimateDiff introduced reusable motion modules for personalized text-to-image diffusion models.来源
  • Primary source-backed profileAnimateDiff has an official source, repository, paper, or model card attached for verification.来源
  • Open/self-hosted access pathAnimateDiff can be evaluated through open code, weights, or model-card resources when license terms allow.来源

公司摘要

公司 profile is not yet attached to this model.

价格、入口与开源状态

访问方式： Open 权重s, Research Only

开源/闭源： Open. Open code, weights, or model-card resources are listed; verify license terms before commercial use.

Open/self-hosted; cost depends on local or cloud GPU.

Price, regional access, and commercial terms need a live check before cost-sensitive recommendations.

最新版本

AnimateDiff

2023-07 / confirmed

Open motion-module approach for animating image diffusion models.

最新消息

AnimateDiff GitHub repository

2026 / guoyww GitHub

External source link for this model.

打开原文

为什么排在这里

排名： #38 52

分数来源： Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.. 证据 confidence is medium.

排名 评分方法

关键得分驱动

These are the scoring dimensions most responsible for the current ranking position.

  • 模型 Quality Proxy: 55Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
  • Ecosystem Popularity: 100GitHub snapshot includes 1 repo(s), 12,201 stars, 1,088 forks, 319 open issues, latest pushed 2024-07-31T01:14:15Z.
  • Capability Depth: 45Supported workflow tags: image_animation, motion_module, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
  • Version Maturity: 582 version/history entries in the profile; latest public date is 2023-2024.

替代选择与对比

Use these when price, access, output style, or workflow fit is uncertain.

  • SeedanceByteDance's frontier video generation family for multimodal, audio-video, short-form, and cinematic creator workflows.View model对比
  • KlingKuaishou's broad AI video and image generation platform for text-to-video, image-to-video, native audio, references, and creator effects.View model对比
  • PixVerseA creator-friendly AI video platform with strong API coverage for text-to-video, image-to-video, transitions, extension, and reference fusion.View model对比
  • ViduShengShu Technology's video model family for native audio-video storytelling, image-to-video, and scene-oriented short-form production.View model对比

它是什么

Primary content is rendered into static HTML.

AnimateDiff is a classic open project for animating image diffusion models with motion modules. It is not a current all-in-one frontier video model, but it has had major influence on the community ecosystem, ComfyUI workflows, and stylized animation.

Include it as a historical/open baseline and as an adjacent technology for motion transfer and image animation.

版本进展

  • 2023-07 / confirmed / confirmedAnimateDiffOpen motion-module approach for animating image diffusion models.

开源 / 来源证据

Status: Open

Open code, weights, or model-card resources are listed; verify license terms before commercial use.

最新消息

模型-specific news entries link directly to the original publisher; article bodies stay off-site.

完整得分拆解

权重ed evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence. See methodology and rankings.

维度Score权重证据Confidence
模型 Quality Proxy 55 24% Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. medium
Missing: live Artificial Analysis rank/Elo by modality, live Arena AI rank/score by modality
Capability Depth 45 16% Supported workflow tags: image_animation, motion_module, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. medium
Missing: hands-on feature verification, mode-specific limits by duration/resolution
Access And Pricing 30 12% Access types: open_weights, research_only. Pricing note: Open/self-hosted; cost depends on local or cloud GPU. low
Missing: current free tier, normalized price per video minute
Version Maturity 58 12% 2 version/history entries in the profile; latest public date is 2023-2024. medium
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 100 10% GitHub snapshot includes 1 repo(s), 12,201 stars, 1,088 forks, 319 open issues, latest pushed 2024-07-31T01:14:15Z. high
Missing: Hugging Face downloads/likes, Replicate/fal usage/runs
Web Authority 28 10% SEO snapshot found product domain github.com and company domain unknown; sampled sitemap URL count is unknown.

No public source link is attached yet.

 medium
Missing: Similarweb/API traffic, Tranco rank
公司 Distribution 30 10% 公司 profile is missing; distribution score is provisional. low
Missing: app store ratings/review volume, product MAU/traffic
来源 Confidence 94 6% Profile source confidence is confirmed with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub present. high
Missing: paid/API evidence refresh, manual output review artifacts

限制与价格

Open/self-hosted; cost depends on local or cloud GPU.

  • Not A Modern Standalone Foundation Video 模型.
  • Output Quality Depends Heavily On The Underlying Image 模型 And Workflow.

来源