Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge
cs.AI, cs.CV, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/vipshop/cache-dit
Project page: https://nvlabs.github.io/Sana/Sol-Engine/Sol-H3-Spark
Terminology
Sources
- Denoising Diffusion Probabilistic Models
- High-Resolution Image Synthesis with Latent Diffusion Models
- Scalable Diffusion Models with Transformers
- HunyuanVideo: A Systematic Framework For Large Video Generative Models
- HunyuanVideo 1.5 Technical Report
- Wan: Open and Advanced Large-Scale Video Generative Models
- Flow Matching for Generative Modeling
- Progressive Distillation for Fast Sampling of Diffusion Models
- Consistency Models
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- One-step Diffusion with Distribution Matching Distillation
- Adversarial Diffusion Distillation
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
- Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
- Real-Time Video Generation with Pyramid Attention Broadcast
- Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
- Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
- Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
- Pyramidal Flow Matching for Efficient Video Generative Modeling
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
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