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京东开源JoyAI-Echo框架 让长视频创作从“静态生成”变成“动态协作”

亿邦动力 2026-06-03 22:28
亿邦动力 2026/06/03 22:28

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这篇文章核心信息是京东在6月3日宣布开源JoyAI-Echo长音视频生成框架,这款框架解决了AI长视频生成行业的核心痛点,普通创作者也可以免费使用,核心干货如下:

1. 该框架解决了行业一直存在的三大问题:生成长视频时角色形象难保持一致、音色变化难控制、生成速度过慢,还推出了“边聊边改”模式,把原来的静态一次性生成改成了动态协作模式,降低了长视频创作的门槛。

2. 该框架有四项核心技术创新,分别从一致性、速度、编辑体验、清晰度四个层面优化使用体验,实测所有核心指标都领先行业同类模型,语音内容准确率高达0.8646,表现优秀。

3. 目前该框架的代码与权重已经全部开源,项目页和GitHub代码仓库都已经正式上线,普通创作者和开发者都可以直接前去体验使用。

京东开源的JoyAI-Echo长音视频生成框架,给品牌营销内容生产带来了全新的降本增效机会,符合品牌营销相关需求的干货如下:

1. 应用场景匹配度高,该框架可用于快速生成品牌营销视频、迭代营销内容,还能支撑品牌数字人直播、数字代言人内容生产,可以大幅优化品牌内容生产的成本和效率,帮助品牌更快响应营销热点、推出推广内容。

2. 解决了品牌AI内容生产的核心痛点,框架内置跨模态音视频记忆库,可以在5分钟长视频里保持品牌数字人设的外观、音色高度一致,避免同一个角色“变脸”的尴尬,满足品牌统一人设的传播需求。

3. 创作模式适配品牌快速改需求的场景,支持用自然语言对话改内容,只修改有问题的局部镜头不用全片重生成,大幅缩短了营销内容的产出周期,能帮助品牌更快跟进市场变化调整推广内容。

JoyAI-Echo框架的开源,给带货相关的卖家带来了新的增长机会和效率提升空间,核心干货整理如下:

1. 机会提示:AI长视频生成已经进入实用化阶段,这款框架完全开源免费,卖家不需要投入高额的技术研发和内容制作成本,就可以用它快速产出带货长视频、数字人直播内容,降低自身内容生产的门槛。

2. 技术优势刚好匹配卖家的推广需求,它能保证数字带货主播的形象、音色全程稳定一致,生成速度比传统技术提升7.5倍,支持随时对话修改内容,卖家可以快速针对不同产品、不同大促活动更新推广内容,跟上推广节奏。

3. 风险提示:随着这类AI工具的普及,内容生产的效率会整体大幅提升,如果卖家不跟进使用这类工具降低成本提升效率,很容易在内容推广的赛道上落后于同行,错失流量机会。

4. 卖家可以依托开源框架定制适合自身赛道的内容生产工具,拿到差异化的内容生产优势。

这款AI框架的推出,给相关工厂带来了新的商业机会,也提供了数字化转型的启示,核心干货如下:

1. 产品生产设计层面,随着AI长视频创作的普及,市场对适配AI内容生产的硬件设备需求会大幅上涨,比如直播终端、创作用PC、图形处理硬件等,相关工厂可以提前布局适配这类AI工具的产品开发,抓住新的增长机会。

2. 对于承接品牌营销视频、数字内容代工的工厂来说,这款开源框架可以帮助工厂降低内容生产成本,提升内容产出速度,接更多的订单,扩大自身的业务规模,还能承接更多快速迭代的内容需求,提升盈利能力。

3. 数字化转型启示:工厂推进数字化和电商化转型时,可以借鉴京东开源技术的思路,通过开放自身优势资源整合行业力量,拓展自身的业务边界,打开新的增长空间,还能借助开源技术降低自身数字化升级的成本。

这次京东开源框架,给AI音视频服务相关的服务商提供了很多行业相关干货,核心内容整理如下:

1. 行业发展趋势:AI长视频生成已经突破了核心技术瓶颈,进入实用化落地阶段,未来高一致性、高画质、可交互的动态协作式创作会是行业主流发展方向,对话式编辑会成为标配功能,服务商需要提前布局相关方向。

2. 客户痛点已经明确:当前客户对AI长视频生成的核心痛点集中在四个方面:长视频跨镜头角色形象音色不一致、生成速度慢、修改成本高需要全片重生成、高清输出卡顿,这些痛点已经有了成熟的技术解决方案。

3. 服务商可以利用开源框架降低自身研发成本:服务商可以基于已经开源的JoyAI-Echo框架做二次开发,针对不同行业客户的需求定制化开发AI长视频生成服务,快速推出落地产品,不需要从0开始研发核心框架,缩短产品上线周期,降低研发投入。

JoyAI-Echo的开源给AI开发平台、内容平台这类平台商提供了很多运营和生态建设的参考,核心干货整理如下:

1. 用户需求明确:当前平台的开发者和内容创作者,对低成本、可用的成熟AI长视频生成工具需求非常强烈,开源成熟框架刚好能满足这类需求,平台可以引入这类优质开源项目,吸引更多AI开发者和内容创作者入驻平台,丰富平台的用户结构。

2. 平台生态建设可参考京东的做法:围绕AI长视频创作这类新兴赛道,平台可以通过开放成熟技术资源的方式搭建开发者生态,吸引创作者产出内容,反过来丰富平台的内容供给,形成正向循环,还能通过吸引开发者参与共同迭代技术,降低平台自身的技术研发成本。

3. 风向提示:AI音视频领域技术迭代速度非常快,如果平台不能及时跟进新技术,满足创作者对高效创作工具的需求,很容易出现创作者流失的问题,平台需要提前布局新兴技术赛道,搭建相关生态,规避用户流失的风险。

京东开源JoyAI-Echo框架,给AI生成领域的研究者提供了很多产业和技术层面的新信息,核心干货整理如下:

1. 产业新动向:当前AI长视频生成已经突破了核心痛点,进入实用化阶段,我国企业在该领域的技术已经进入全球第一梯队,对话式动态协作创作会成为未来长视频生成的主流方向,整个行业正式迎来AI长视频时代。

2. 技术创新层面,该框架提出了四个值得研究的创新方向:分别是跨模态音视频记忆库解决一致性问题、记忆驱动后训练结合DMD等技术实现7.5倍的生成速度提升、加入Director Agent实现对话式局部编辑、轻量化实时超分实现高清输出,实测所有核心指标都领先行业,语音内容准确率达0.8646,为后续研究提供了参考基准。

3. 商业模式和技术推广层面,全开源代码和权重的开放模式,是AI技术落地普及的新路径,能够整合全球开发者的力量共同推进技术迭代,这种模式的优劣势和长期影响都值得深入研究。

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Quick Summary

This article covers JD.com's June 3 announcement that it has open-sourced JoyAI-Echo, a long audio-video generation framework that addresses core pain points in the AI long video generation industry and is available for free to casual creators. Key takeaways are as follows:

1. The framework solves three longstanding industry challenges: inconsistent character appearance, unstable voice tone, and slow generation speed when creating long-form videos. It also introduces a "chat-based editing" feature that replaces the traditional static one-time generation model with a dynamic collaborative workflow, lowering the barrier to long video creation.

2. It delivers four core technical innovations that optimize user experience from the aspects of consistency, speed, editing experience, and clarity. Benchmark testing shows all core metrics of JoyAI-Echo outperform comparable industry models, with an outstanding speech accuracy of 0.8646.

3. All of the framework's code and model weights have been fully open-sourced, with the official project page and GitHub repository now live. Casual creators and developers can access and test the tool directly.

JD.com's open-source JoyAI-Echo long audio-video generation framework unlocks new cost reduction and efficiency improvement opportunities for brands' marketing content production. Key insights aligned with brand marketing needs are below:

1. The framework fits a wide range of brand use cases: it can quickly generate brand marketing videos and iterate on marketing assets, while also supporting the production of content for branded digital human live streams and digital spokespeople. It drastically cuts content production costs and improves efficiency, helping brands respond faster to trending marketing topics and launch new promotional content.

2. It addresses core pain points for AI-powered brand content production. Its built-in cross-modal audio-video memory library maintains high consistency in a digital brand character's appearance and voice across 5-minute long videos, eliminating the awkward issue of inconsistent character appearance and satisfying brands' requirement for a unified, consistent brand persona in content distribution.

3. Its collaborative creation model is tailored to brands' need for fast content iterations. It supports content modification via natural language conversation, allowing users to edit only problematic partial shots rather than re-generating the entire video. This drastically shortens marketing content production cycles and enables brands to adjust promotional content faster to match evolving market conditions.

The open sourcing of JoyAI-Echo unlocks new growth opportunities and efficiency gains for e-commerce sellers. Key takeaways are as follows:

1. Opportunity note: AI long video generation has now entered a practical, usable phase, and this fully open-source and free tool eliminates the need for sellers to invest heavily in in-house technical R&D and professional content production. Sellers can use it to quickly generate long-form promotional videos and digital human live stream content, lowering their barrier to in-house content production.

2. Its technical advantages align perfectly with sellers' promotional needs: it maintains stable, consistent appearance and voice for digital streamers, delivers a 7.5x generation speed boost compared to traditional technologies, and supports on-demand content modification via conversation. Sellers can quickly update promotional content for different products and major sales events to keep up with promotional timelines.

3. Risk note: As AI tools of this kind become widespread, overall content production efficiency will rise sharply. Sellers that fail to adopt these tools to cut costs and improve efficiency will likely fall behind competitors in the content promotion race and miss out on valuable traffic opportunities.

4. Sellers can build custom content production tools tailored to their niche based on the open-source framework to gain a differentiated content production advantage.

The launch of this AI framework brings new business opportunities and digital transformation insights for relevant manufacturers. Key takeaways are as follows:

1. For product development: As AI long video creation becomes mainstream, market demand for hardware tailored for AI content production—such as live streaming terminals, creator PCs, and graphics processing hardware—will surge significantly. Relevant manufacturers can start developing AI-adapted products early to capture new growth opportunities.

2. For factories that provide contract production of brand marketing videos and digital content, this open-source framework helps cut content production costs, speed up output, accept more orders, expand business scale, and take on more fast-iteration content requests to boost profitability.

3. Digital transformation insight: When advancing digital and e-commerce transformation, manufacturers can draw inspiration from JD.com's open-source approach: by opening up their own core advantages to integrate industry resources, they can expand business boundaries, unlock new growth, and lower the cost of digital upgrading by leveraging open-source technologies.

JD.com's open sourcing of JoyAI-Echo offers valuable industry insights for AI audio-video service providers. Key takeaways are as follows:

1. Industry trend: AI long video generation has broken through core technical bottlenecks and entered the phase of practical commercial deployment. Going forward, high-consistency, high-resolution, interactive collaborative dynamic creation will become the industry mainstream, and conversational editing will become a standard feature. Service providers should start布局ing in this direction early.

2. Clear customer pain points: The core pain points customers face with AI long video generation currently fall into four categories: inconsistent character appearance and voice across shots in long videos, slow generation speed, high modification costs that require full re-generation, and lag when outputting high-definition content. Mature technical solutions to these pain points now exist.

3. Service providers can cut R&D costs by leveraging the open-source framework: they can build custom AI long video generation services for different industry clients via secondary development based on JoyAI-Echo, launch production-ready products quickly, eliminate the need to build a core framework from scratch, shorten product launch cycles, and reduce R&D investment.

The open sourcing of JoyAI-Echo offers valuable insights for operation and ecosystem building for AI development platforms and content platforms. Key takeaways are as follows:

1. Clear user demand: Developers and content creators on platforms currently have strong demand for low-cost, production-ready mature AI long video generation tools, which mature open-source frameworks can perfectly satisfy. Platforms can integrate high-quality open-source projects like this to attract more AI developers and content creators to join their platform and diversify their user base.

2. Platforms can reference JD.com's approach for ecosystem building: for emerging tracks like AI long video creation, platforms can build a developer ecosystem by opening up mature technical resources to attract creators to produce content, which in turn enriches platform content supply and forms a positive flywheel. They can also lower in-house R&D costs by inviting developers to participate in joint technical iteration.

3. Trend warning: Technology iteration in the AI audio-video space is extremely fast. Platforms that fail to keep up with new technologies and meet creators' demand for efficient creation tools are at high risk of creator churn. Platforms should布局 emerging technical tracks and build relevant ecosystems early to avoid user churn.

JD.com's open sourcing of the JoyAI-Echo framework provides valuable new industrial and technical insights for AI generation researchers. Key takeaways are as follows:

1. New industrial trend: AI long video generation has now solved its core pain points and entered a practical phase, with Chinese companies' technology in this space ranking among the global top tier. Conversational dynamic collaborative creation will become the mainstream direction for future long video generation, and the industry has officially entered the AI long video era.

2. Technical innovation: The framework introduces four research-worthy innovations: a cross-modal audio-video memory library to solve the consistency problem; a memory-driven post-training approach combined with technologies like DMD to deliver a 7.5x generation speed boost; a Director Agent module to enable conversational local editing; and lightweight real-time super-resolution for high-definition output. Benchmark testing shows all core metrics outperform existing industry models, with a speech accuracy of 0.8646, providing a reference baseline for future research.

3. For business models and technology promotion: The full open-source model for both code and model weights represents a new path for AI technology commercialization and adoption, which enables integrating global developer power to advance technical iteration. The advantages, disadvantages, and long-term impact of this model all warrant in-depth research.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

6月3日,京东宣布开源JoyAI-Echo长音视频生成框架。JoyAI-Echo解决了行业三大痛点:角色难稳定一致、音色变化难控制、视频生成速度慢。此外,JoyAI-Echo的“边聊边改”模式,让视频创作从“静态生成”变成“动态协作”。

JoyAI-Echo在各类视频创作、数字人直播、品牌营销、教育和游戏内容生产等领域有巨大的应用潜力,它的推出,标志着京东在长视频生成领域实现重大突破,进入全球第一梯队。

据悉,JoyAI-Echo有四项技术创新:

一是跨模态音视频记忆库,让角色再也不“变脸”。这也是JoyAI-Echo最关键的突破。模型框架内置了一个专门的记忆库,能在多镜头生成过程中,持续保存并调用角色的外观特征和说话人音色信息。在长达5分钟的视频里,角色身份、视觉形象和声音音色都能保持高度一致,再也不会出现“同一个人演着演着变成另一个人”的尴尬情况。

二是记忆驱动后训练,速度直接提升7.5倍。研发团队创新提出了记忆驱动后训练流程,结合SFT、跨模态RLHF和 Distribution Matching Distillation(DMD)技术,大幅提升了生成质量,更实现了推理加速。

其中,仅DMD一项技术就带来了约7.5倍的速度提升,让长视频生成从“等半天”变成“秒出片”。

三是加入智能“导演助理”——Director Agent,让长视频第一次实现“对话式编辑”。JoyAI-Echo不再是“输入提示词,一次性出结果”的传统工具。你用自然语言说需求,它会自动帮你拆分成剧本、角色、场景和镜头。哪里不满意,直接用对话的方式告诉它修改,它只重新生成有问题的局部镜头,不用重跑整条视频,让长视频创作从“静态生成”变成了“动态协作”。

四是轻量化实时超分,高清输出不卡顿。为了满足专业内容生产的需求,JoyAI-Echo配套了专门的实时超分模块,支持两档分辨率提升(736×1280→ 1152×1920,736×1280→ 1472×2560)。模块通过单步超分就能生成高分辨率视频和精细化音频,即使在流式延迟的约束下,也能保持稳定的高清表现。

为了客观评估JoyAI-Echo的性能,研发团队基于100个故事、3000个镜头构建了长音视频生成评测集,从多个维度进行了全面测试。结果显示,JoyAI-Echo在跨镜头一致性、视频质量、文本一致性和语音内容准确率等所有核心指标上都取得了领先表现,其中语音内容准确率更是高达0.8646,大幅领先行业其它同类模型。

JoyAI-Echo的推出,意味着AI视频生成的 "长视频时代"来了。它为虚拟故事创作和动漫制作、数字人内容生产和直播、品牌营销视频快速迭代、互动教育课件生成等领域带来了全新可能,将大幅优化行业成本效率。JoyAI-Echo也预示着未来人类可以像聊天一样,持续创作、修改和完善长视频内容,让高一致性、高画质、可交互的视频生成,真正走进每一个内容创作者的工作流程。

京东宣布,JoyAI-Echo的代码与权重已全部开源,目前项目页和GitHub代码仓库已经正式上线,供开发者和创作者体验。

文章来源:亿邦动力

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