模型 profile

Open-Sora AI 视频生成器

An open-source video generation project and training/inference framework inspired by Sora-style video models.

是否适合使用 Open-Sora?

适合用来做: open research, training experiments, benchmark baselines

Skip or compare first 的情况: Multiple OpenSora projects exist; keep this separate from Open-Sora-Plan. Not a polished C-end product.

定位: An open-source video generation project and training/inference framework inspired by Sora-style video models.

核心能力

  • Open frameworkThe project provides open code and model resources for video generation research.来源
  • Primary source-backed profileOpen-Sora has an official source, repository, paper, or model card attached for verification.来源
  • Open/self-hosted access pathOpen-Sora 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-source/self-hosted; cost depends on compute.

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

最新版本

Open-Sora 1.x

2024 / partial

Early open Sora-style video generation project releases.

最新消息

Open-Sora GitHub repository

2026 / HPC-AI Tech GitHub

External source link for this model.

打开原文

为什么排在这里

排名: #32 56

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: 61Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
  • Capability Depth: 70Supported workflow tags: t2v, i2v, open_weights, training. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
  • Ecosystem Popularity: 100GitHub snapshot includes 1 repo(s), 29,229 stars, 3,001 forks, 12 open issues, latest pushed 2026-04-09T01:52:40Z.
  • Version Maturity: 482 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.

Open-Sora is an open research and engineering project from the HPC-AI/Colossal-AI ecosystem. It provides code, models, and training/inference workflows for open video generation.

It is not a consumer product, but it is important for open-source evaluation because it provides a public baseline and implementation path for researchers and developers.

版本进展

  • 2024 / partial / partialOpen-Sora 1.xEarly open Sora-style video generation project releases.

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 61 24% Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. low
Missing: live Artificial Analysis rank/Elo by modality, live Arena AI rank/score by modality
Capability Depth 70 16% Supported workflow tags: t2v, i2v, open_weights, training. 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-source/self-hosted; cost depends on compute. low
Missing: current free tier, normalized price per video minute
Version Maturity 48 12% 2 version/history entries in the profile; latest public date is 2024-2025. medium
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 100 10% GitHub snapshot includes 1 repo(s), 29,229 stars, 3,001 forks, 12 open issues, latest pushed 2026-04-09T01:52:40Z. high
Missing: Hugging Face downloads/likes, Replicate/fal usage/runs
Web Authority 28 10% SEO snapshot found product domain github.com and company domain github.com; 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 78 6% Profile source confidence is partial with 1 official URL(s), 1 feature evidence item(s), SEO present, GitHub present. medium
Missing: paid/API evidence refresh, manual output review artifacts

限制与价格

Open-source/self-hosted; cost depends on compute.

  • Multiple OpenSora Projects Exist; Keep This Separate From Open-Sora-Plan.
  • Not A Polished C-End Product.

来源