模型 profile

I2VGen-XL AI 视频生成器

Alibaba VILAB's open image-to-video research model, useful as a historical I2V baseline.

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是否适合使用 I2VGen-XL?

适合用来做： image-to-video research, historical baseline, open-model comparison

Skip or compare first 的情况: Older model quality is not frontier. Consumer-facing UI requires wrappers.

定位： Alibaba VILAB's open image-to-video research model, useful as a historical I2V baseline.

核心能力

  • Image-to-video baselineI2VGen-XL focuses on generating video from an input image.来源
  • Primary source-backed profileI2VGen-XL has an official source, repository, paper, or model card attached for verification.来源
  • Open/self-hosted access pathI2VGen-XL 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 research model; cost depends on compute.

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

最新版本

I2VGen-XL

2023-11 / confirmed

Open research image-to-video release and paper.

最新消息

I2VGen-XL

2026 / Alibaba VILAB GitHub

External source link for this model.

打开原文

为什么排在这里

排名： #45 47

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: 58Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
  • Capability Depth: 53Supported workflow tags: i2v, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
  • 来源 Confidence: 90Profile source confidence is confirmed with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub present.
  • Version Maturity: 381 version/history entries in the profile; latest public date is 2023-11.

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.

I2VGen-XL is an image-to-video model from Alibaba VILAB. It is older than current frontier models, but it remains important for understanding the evolution / image-conditioned video generation.

For the site, include it in open/research baselines and avoid ranking it directly against current commercial tools for consumer recommendation.

版本进展

  • 2023-11 / confirmed / confirmedI2VGen-XLOpen research image-to-video release and paper.

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 58 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 53 16% Supported workflow tags: i2v, 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 research model; cost depends on compute. low
Missing: current free tier, normalized price per video minute
Version Maturity 38 12% 1 version/history entries in the profile; latest public date is 2023-11. medium
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 39 10% GitHub snapshot includes 1 repo(s), 9 stars, 0 forks, 0 open issues, latest pushed 2024-03-06T08:16:48Z. high
Missing: Hugging Face downloads/likes, Replicate/fal usage/runs
Web Authority 38 10% SEO snapshot found product domain github.com and company domain home.alibabagroup.com; sampled sitemap URL count is unknown. 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 90 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 research model; cost depends on compute.

  • Older 模型 Quality Is Not Frontier.
  • Consumer-Facing UI Requires Wrappers.

来源