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ruwwww/README.md

Hi there πŸ‘‹

Here are some ideas to get you started:

  • πŸ”­ I’m currently working on Unified Models
  • πŸ‘€ I’m also currently working on 3D Generation
  • 🌱 I’m currently learning Physics (Classical and Quantum)
  • πŸ‘― I’m interested in High Performance Computing (HPC)
  • πŸ€” I’m looking for help with Anime Diffusion Model
  • πŸ’¬ Ask me about Diffusion Model Acceleration
  • πŸ—Ώ I’m looking to collaborate System Design
  • πŸ˜„ Pronouns: He/Him

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  1. SiT SiT Public

    Forked from willisma/SiT

    Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

    Python

  2. DMD2 DMD2 Public

    Forked from tianweiy/DMD2

    (NeurIPS 2024 Oral πŸ”₯) Improved Distribution Matching Distillation for Fast Image Synthesis

    Python

  3. MeanFlow MeanFlow Public

    Forked from zhuyu-cs/MeanFlow

    Pytorch implementation of MeanFlow on ImageNet and CIFAR10

    Python

  4. TwinFlow TwinFlow Public

    Forked from inclusionAI/TwinFlow

    Taming large-scale few-step training with self-adversarial flows! πŸ‘πŸ»

    Python

  5. REPA REPA Public

    Forked from sihyun-yu/REPA

    [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

    Python

  6. RAE RAE Public

    Forked from bytetriper/RAE

    Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"

    Python