模型 profile

VideoCrafter AI 视频生成器

A classic open research line for text-to-video and image-to-video generation.

是否适合使用 VideoCrafter?

适合用来做: research baselines, open T2V, open I2V

Skip or compare first 的情况: Older research baseline. May require technical setup.

定位: A classic open research line for text-to-video and image-to-video generation.

核心能力

  • Classic open video generationVideoCrafter provides open video generation code and checkpoints across multiple versions.来源
  • Primary source-backed profileVideoCrafter has an official source, repository, paper, or model card attached for verification.来源
  • Open/self-hosted access pathVideoCrafter 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; compute cost only unless using a hosted endpoint.

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

最新版本

VideoCrafter1

2023 / partial

Early controllable video generation baseline.

最新消息

VideoCrafter GitHub repository

2026 / AILab-CVC GitHub

External source link for this model.

打开原文

为什么排在这里

排名: #31 57

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: 57Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
  • Capability Depth: 67Supported workflow tags: t2v, i2v, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
  • Ecosystem Popularity: 100GitHub snapshot includes 1 repo(s), 5,068 stars, 414 forks, 74 open issues, latest pushed 2026-01-09T15:01:22Z.
  • Version Maturity: 613 version/history entries in the profile; latest public date is 2024-2025.

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.

VideoCrafter is an influential open video generation project used widely in research comparisons before newer frontier systems. It supports text-to-video and image-to-video workflows through multiple generations.

It belongs in the benchmark archive and open-model section rather than the consumer top-tools list.

版本进展

  • 2023 / partial / partialVideoCrafter1Early controllable video generation baseline.

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 57 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 67 16% Supported workflow tags: t2v, 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; compute cost only unless using a hosted endpoint. low
Missing: current free tier, normalized price per video minute
Version Maturity 61 12% 3 version/history entries in the profile; latest public date is 2024-2025. high
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 100 10% GitHub snapshot includes 1 repo(s), 5,068 stars, 414 forks, 74 open issues, latest pushed 2026-01-09T15:01:22Z. 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 90 6% Profile source confidence is confirmed with 1 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; compute cost only unless using a hosted endpoint.

  • Older Research Baseline.
  • May Require Technical Setup.

来源