Unverified60% confidenceFactExact time
Flux is a new-generation model based on the Diffusion Transformer (DiT) architecture.
2
Sources
60%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
UnverifiedDiffusion Transformer (DiT) is a class of generative backbone networks that introduces the Transformer architecture into diffusion models, cutting noisy images into patches and linearly embedding them into token sequences, and using multi-layer Transformer blocks to predict noise or velocity, replacing the U-Net in traditional diffusion models.79% similarVerifiedDiffusion Transformer (DiT) is the dominant architecture in the current image generation field, used in models such as Stable Diffusion 3 and FLUX.78% similarVerifiedFLUX adopts a DiT (Diffusion Transformer) architecture, replacing the traditional U-Net structure with a pure Transformer.72% similarUnverifiedMiniMax adopts a Transformer architecture combined with a Diffusion Model.71% similarVerifiedLTX 2.3 adopts a Transformer-based diffusion architecture (DiT, Diffusion Transformer), which has stronger temporal consistency modeling capabilities compared to the traditional U-Net architecture.70% similar
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