Diffusion RLHF Alignment Diffusion Models
Tools and methods for aligning diffusion models using reinforcement learning and human feedback, including preference optimization, reward modeling, and RLHF fine-tuning techniques. Does NOT include general diffusion model training, inference optimization, or non-RL-based fine-tuning methods like LoRA.
There are 53 diffusion rlhf alignment models tracked. 2 score above 50 (established tier). The highest-rated is FlorianFuerrutter/genQC at 65/100 with 57 stars and 2,712 monthly downloads.
Get all 53 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=diffusion&subcategory=diffusion-rlhf-alignment&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Model | Score | Tier |
|---|---|---|---|
| 1 |
FlorianFuerrutter/genQC
Generative Quantum Circuits |
|
Established |
| 2 |
horseee/DeepCache
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free |
|
Established |
| 3 |
Gen-Verse/MMaDA
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with... |
|
Emerging |
| 4 |
kuleshov-group/mdlm
[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model |
|
Emerging |
| 5 |
Shark-NLP/DiffuSeq
[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models |
|
Emerging |
| 6 |
jeongwhanchoi/SCONE
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard... |
|
Emerging |
| 7 |
ali-vilab/TeaCache
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model |
|
Emerging |
| 8 |
Hzfinfdu/Diffusion-BERT
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with... |
|
Emerging |
| 9 |
Xiuyu-Li/q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models. |
|
Emerging |
| 10 |
yjyddq/EOSER-ASS-RL
Official Repository of "Taming Masked Diffusion Language Models via... |
|
Emerging |
| 11 |
yk7333/d3po
[CVPR 2024] Code for the paper "Using Human Feedback to Fine-tune Diffusion... |
|
Emerging |
| 12 |
czg1225/AsyncDiff
[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising |
|
Emerging |
| 13 |
keshik6/grafting
[NeurIPS 2025 Oral] Official Code for Exploring Diffusion Transformer... |
|
Emerging |
| 14 |
masa-ue/SVDD
Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding.... |
|
Emerging |
| 15 |
HKUDS/DiffKG
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation" |
|
Emerging |
| 16 |
mapo-t2i/mapo
Official codebase for Margin-aware Preference Optimization for Aligning... |
|
Emerging |
| 17 |
MiZhenxing/ThinkDiff
ICML2025, I Think, Therefore I Diffuse: Enabling Multimodal In-Context... |
|
Emerging |
| 18 |
HKUDS/RecDiff
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation" |
|
Experimental |
| 19 |
InternScience/AdaptiveDiffusion
[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference... |
|
Experimental |
| 20 |
mihirp1998/AlignProp
AlignProp uses direct reward backpropogation for the alignment of... |
|
Experimental |
| 21 |
Ting-Justin-Jiang/sada-icml
[ICML 2025] Official Repo for Stability-guided Adaptive Diffusion... |
|
Experimental |
| 22 |
basiclab/DiffusionDRO
[NeurIPS 2025] Ranking-based Preference Optimization for Diffusion Models... |
|
Experimental |
| 23 |
AniAggarwal/ecad
[ICLR 2026] Code for Evolutionary Caching to Accelerate Your Off-the-Shelf... |
|
Experimental |
| 24 |
H-EmbodVis/EasyCache
Less is Enough: Training-Free Video Diffusion Acceleration via... |
|
Experimental |
| 25 |
hu-zijing/B2-DiffuRL
[CVPR 25] A framework named B^2-DiffuRL for RL-based diffusion model fine-tuning. |
|
Experimental |
| 26 |
aaron-di/CDM-PSL
[AAAI 2025] CDM-PSL: Expensive Multi-Objective Bayesian Optimization Based... |
|
Experimental |
| 27 |
ZiyiZhang27/sdpo
[IEEE TPAMI] Code for the paper "Aligning Few-Step Diffusion Models with... |
|
Experimental |
| 28 |
zihaowu25/InvarDiff
InvarDiff: Cross-Scale Invariance Caching for Accelerated Diffusion Models |
|
Experimental |
| 29 |
AIDC-AI/Diffusion-SDPO
Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models |
|
Experimental |
| 30 |
BIT-DA/DUSA
[NeurIPS 2024] Exploring Structured Semantic Priors Underlying Diffusion... |
|
Experimental |
| 31 |
ilog-ecnu/CDM-PSL
[AAAI 2025] CDM-PSL: Expensive Multi-Objective Bayesian Optimization Based... |
|
Experimental |
| 32 |
yjyddq/rho-EOS
Official Repository of "ρ-𝙴𝙾𝚂: Training-free Bidirectional Variable-Length... |
|
Experimental |
| 33 |
hu-zijing/D-Fusion
[ICML 25] Denoising trajectory fusion, a method to construct RL-trainable... |
|
Experimental |
| 34 |
ModelTC/HarmoniCa
[ICML 2025] This is the official PyTorch implementation of "🎵 HarmoniCa:... |
|
Experimental |
| 35 |
L-YeZhu/BoundaryDiffusion
[NeurIPS2023] BoundaryDiffusion: A learning-free method for semantic control... |
|
Experimental |
| 36 |
user683/CausalDiffRec
[WWW'25]The official implementation of Graph Representation Learning via... |
|
Experimental |
| 37 |
OptiSys-ZJU/segquant
[CVPR '26] A Semantics-Aware and Generalizable Quantization Framework for... |
|
Experimental |
| 38 |
UCF-CRCV/core
Context-Robust Remasking for Diffusion Language Models |
|
Experimental |
| 39 |
masa-ue/RLfinetuning_Diffusion_Bioseq
Code for the tutorial/review paper for RL-based-fine-tuniing. In this code,... |
|
Experimental |
| 40 |
itsluckysharma01/RL-based_Adaptive_Game_Difficulty_Engine
This repository contains an implementation of a 🏗️Reinforcement Learning... |
|
Experimental |
| 41 |
akashsonowal/ddpo-pytorch
RLHF for Stable Diffusion |
|
Experimental |
| 42 |
ZiyiZhang27/tdpo
[ICML 2024] Code for the paper "Confronting Reward Overoptimization for... |
|
Experimental |
| 43 |
federicobrancasi/quantdiff-paper
Research paper: QuantDiff - Efficient Mixed-Precision Quantization for... |
|
Experimental |
| 44 |
HKUDS/DiffMM
[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation" |
|
Experimental |
| 45 |
suinleelab/An-Efficient-Framework-for-Crediting-Data-Contributors-of-Diffusion-Models
[ICLR2025] An Efficient Framework for Crediting Data Contributors of Diffusion Models |
|
Experimental |
| 46 |
horseee/learning-to-cache
[NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via... |
|
Experimental |
| 47 |
zhaoyl18/SEIKO
SEIKO is a novel reinforcement learning method to efficiently fine-tune... |
|
Experimental |
| 48 |
THU-AccDiff/xslim
Official implementation of X-Slim(xslim): Accelerating diffusion model via... |
|
Experimental |
| 49 |
LemonTwoL/ReNeg
ReNeg: Learning Negative Embedding with Reward Guidance |
|
Experimental |
| 50 |
sahsaeedi/DCPO-T2I
[TMLR] Dual Caption Preference Optimization |
|
Experimental |
| 51 |
Yeez-lee/Data-Selection-and-Reweighting-for-Diffusion-Models
[ICASSP 25'] Pruning then Reweighting: Towards Data-Efficient Training of... |
|
Experimental |
| 52 |
LIUTIGHE/HetCache
[CVPR'26] The official implementation of paper "Accelerating Diffusion-based... |
|
Experimental |
| 53 |
arthur-x/AlmostPerfect
Simple end-to-end RLHF (Reinforcement Learning from Human Feedback) for... |
|
Experimental |