Alternatives and similar repositories for DAS

Users that are interested in DAS are comparing it to the libraries listed below

• Shentao-YANG / Dense_Reward_T2I
  Source code for "A Dense Reward View on Aligning Text-to-Image Diffusion with Preference" (ICML'24).
  ☆39Updated last year
• enkeejunior1 / Diffusion-Pullback
  Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)
  ☆89Updated last year
• EnergyAttention / Energy-Based-CrossAttention
  The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".
  ☆50Updated last year
• mingyuanzhou / SiD
  PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)
  ☆133Updated 5 months ago
• dvirsamuel / NewtonRaphsonInversion
  [ICLR 2025] Code for our paper: GNRI: Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
  ☆57Updated 6 months ago
• jacklishufan / diffusion-kto
  The official implementation of Diffusion-KTO: Aligning Diffusion Models by Optimizing Human Utility
  ☆65Updated last month
• sangyun884 / rfpp
  The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024
  ☆123Updated 11 months ago
• tzco / Diffusion-wo-CFG
  Official Implementation for Diffusion Models Without Classifier-free Guidance
  ☆151Updated 7 months ago
• WisconsinAIVision / visii
  👀 Visual Instruction Inversion: Image Editing via Visual Prompting (NeurIPS 2023)
  ☆92Updated last year
• visual-gen / semanticist
  (ICCV 2025) "Principal Components" Enable A New Language of Images
  ☆63Updated last month
• ExplainableML / ReNO
  [NeurIPS 2024] ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
  ☆154Updated this week
• xiefan-guo / initno
  [CVPR 2024] InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
  ☆68Updated last year
• mihirp1998 / AlignProp
  AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more samp…
  ☆299Updated 10 months ago
• nanlliu / Unsupervised-Compositional-Concepts-Discovery
  [ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
  ☆85Updated last year
• Owen-Oertell / rlcm
  ☆54Updated 11 months ago
• yuanzhi-zhu / SlimFlow
  [ECCV2024] "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu
  ☆54Updated 9 months ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆94Updated 10 months ago
• LeapLabTHU / ImprovedNAT
  A PyTorch implementation of the paper "Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis"
  ☆46Updated last year
• RoyiRa / Linguistic-Binding-in-Diffusion-Models
  ☆81Updated 9 months ago
• markweberdev / maskbit
  Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"
  ☆85Updated 5 months ago
• mingyuanzhou / SiD-LSG
  Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation
  ☆86Updated 2 months ago
• byeongjun-park / DTR
  [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"
  ☆24Updated last year
• Guohanzhong / GMS
  ☆23Updated last year
• huaishengzhu / DSPO
  ☆28Updated 4 months ago
• gohyojun15 / ANT_diffusion
  [Neurips 2023] Official pytorch implementation of "Addressing Negative Transfer in Diffusion Models"
  ☆21Updated last year
• kynkaat / guidance-interval
  Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
  ☆25Updated last week
• xie-lab-ml / Zigzag-Diffusion-Sampling
  [ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectio…
  ☆90Updated 7 months ago
• zelaki / eqvae
  [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
  ☆152Updated 2 months ago
• xie-lab-ml / awesome-alignment-of-diffusion-models
  The collection of awesome papers on alignment of diffusion models.
  ☆328Updated last week
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆30Updated last year