Marketing Personalization
CreativeFitting needed to accelerate iteration of its self-developed AIGC video-generation models, eliminate manual compute scheduling and duplicate training-data distribution, balance daily GPU demand spikes against cost control, and support localized content creation for global markets.
Reported impact
CreativeFitting increased average daily content output by nearly 10x, achieved script quality where more than 70% of AI-generated scripts were judged to have been written by local experts, and reduced the operating burden of scaling its AI-assisted production pipeline.
CreativeFitting used Huawei Cloud to turn its self-developed AIGC video model into a scalable production system for advertising clips, short dramas, and localized content. Huawei Cloud GPU compute resources back the company's two-year video-model training effort, while a data flywheel feeds the model with real business feedback and curated annotation data so algorithm engineers can iterate and redeploy quickly. For production, CreativeFitting built an AI-assisted content pipeline that uses multimodal generative AI tools for characters, scenes, voiceovers, and scripts, then runs those workloads on elastic GPU clusters built with Huawei Cloud Elastic Cloud Server (ECS) and Cloud Container Engine (CCE) so capacity can expand and contract with daily demand peaks. The company also combines its domain expertise with large language models to support cross-language, cross-culture localization for creators in multiple regions.
Real business feedback and labeled training data are fed back into CreativeFitting's video model on Huawei Cloud GPU compute. The updated models are then deployed onto ECS and CCE-based GPU clusters, where multimodal tools generate characters, scenes, voiceovers, and scripts that can be localized with large language models for global creators.
"Average daily output increased by nearly 10x, and more than 70% of AI-written scripts were judged to have been created by local experts. (original: CreativeFitting的日均产能提升了近10倍。 在最新的测试中，有超过70%的 AI 创作的脚本被认为由本地化专家创作。)"
"CreativeFitting built an AI-assisted production pipeline with tools for characters, scenes, voiceovers, and scripts, using Huawei Cloud ECS and CCE to form responsive GPU clusters. (original: CreativeFitting打造了一套较为完整的视频创作的AI辅助生产管线，利用多模态Gen-AI的生成能力，提供了包括人物、场景、配音、剧本等各环节的 AI辅助生产工具。CreativeFitting采用华为云ECS和CCE等产品，构建了快速响应生产峰谷波动的GPU计算集群。)"
"CreativeFitting combines its industry understanding with large language models to provide AI-assisted creation for cross-language and cross-culture content production. (original: CreativeFitting基于自身对行业的深刻理解与积累，结合自然语言大模型，为内容生产提供了「AI 辅助创作」能力，帮助全球创作者在面对跨语言跨文化创作时，更加得心应手。)"
"CreativeFitting is committed to self-developed AIGC video-generation models and moved from ad short videos toward more complex short-drama video generation. (original: CreativeFitting致力于自研AIGC视频生成模型，从视频生成模型的研发重心上看，从创业伊始就专注于研发针对高质量情节类视频的生成模型，抓住引发观众的情感共鸣这一关键点，从情节相对简单的广告短视频逐步升级到情节复杂的短剧视频，持续生成高质量视频内容。)"
"With Huawei Cloud GPU compute resources and a data-flywheel design, algorithm engineers can iterate the model multiple times in a short period and deploy it quickly. (original: CreativeFitting用2年时间潜心自研视频生成大模型，在华为云GPU计算资源的支持下，辅以工程层面的数据飞轮设计，不断为模型注入来自业务层面的真实反馈和来自标注团队的优质数据。算法工程师得以在较短的时间内对模型进行多次迭代，并快速部署上线，进而持续从业务层面获得新的反馈。)"
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