テクノロジー
Stable Diffusion 3がAPI経由でのアクセス提供を開始
Stability AIは、画像生成AIの最新版「Stable Diffusion 3」のAPIアクセスを提供開始し、一部の開発者が利用できるようになった事を発表した。合わせて、Stability AIはセルフホスティン […]
Term
Multimodal Diffusion Transformer
別名: MMDiT
Overview
最終更新: 2026年7月9日Multimodal Diffusion Transformer (MMDiT) is a specialized neural network architecture used in Stable Diffusion 3. It improves upon standard diffusion models by using separate sets of weights for image and text modalities, allowing for better information flow and superior performance in prompt comprehension and text rendering.
Mentioned Articles
1 件External Mentions
10 件- arXiv FSD-VLN: Fast-Slow Dual-System Modeling for Aerial Long-Horizon Vision-Language Navigation
- arXiv Multimodal 3D LUT Generation via StatLUT with Statistical Features for Photorealistic Style Transfer
- arXiv Latent graph encoding of multimodal neuroimaging features with generative AI architectures
- arXiv Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment
- arXiv FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers
- arXiv Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation
- arXiv Hybrid Diffusion Transformer for Instruction-Guided Audio Editing via Rectified Flow
- arXiv Co-policy: Responsive Human-Robot Co-Creation for Musical Performances
- arXiv UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer
- arXiv DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing