Unverified50% confidenceFactExact time
2024年以来随着DiT（Diffusion Transformer）架构在视频生成中的广泛应用，开源模型质量开始大幅追赶闭源产品
1
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50%
Confidence
Long-term
Relevance
8/26/2026
First Seen
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VerifiedDiT was proposed by Peebles and Xie in 2023; it replaces the U-Net backbone in traditional diffusion models with Transformer blocks and has become the technical foundation for video generation models such as Sora.71% similarUnverifiedTransformers has become the standard channel for releasing open-source models, forming an industry consensus.70% similarUnverifiedDify是2023年兴起的开源LLMOps（大模型运维）平台69% similarUnverified扩散变换器（DiT）架构最早由Meta研究院在2022年提出，将扩散模型的噪声预测网络替换为Transformer架构，Sora、Kling、Wan等主流视频生成模型均采用此路线68% similarVerifiedStarting in 2023, diffusion models such as Stable Video Diffusion and Runway Gen-2 began to dominate the video generation market.68% similar
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