Expired50% confidenceFactExact time
Diffusion models based on the Transformer architecture have gradually replaced GANs as the mainstream approach for deepfakes.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/8/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/6/2026(expired)
Sources
Related Claims
UnverifiedStarting from GLM 5.x, Zhipu AI's architectural design has gradually shifted toward the industry-mainstream Transformer Decoder-Only paradigm.69% similarVerifiedFLUX adopts a DiT (Diffusion Transformer) architecture, replacing the traditional U-Net structure with a pure Transformer.69% similarUnverifiedSwitch Transformer and the Mixtral series have widely adopted the MoE architecture.67% similarUnverifiedTransformer架构最初由Vaswani等人于2017年为NLP设计，后被迁移到视觉（ViT）、音频、蛋白质结构预测等几乎所有AI子领域64% similarUnverifiedThe image generation field is undergoing an architectural paradigm shift from U-Net to Transformer; traditional diffusion models such as Stable Diffusion 1.x and 2.x primarily rely on a U-Net encoder-decoder structure.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/239122API
curl https://kongchang.com/api/v1/knowledge/claims/239122MCP
get_claim(id=239122)