Alternatives and similar repositories for diffusion-finetuning

Users that are interested in diffusion-finetuning are comparing it to the libraries listed below

• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆40Updated 2 months ago
• GFNOrg / gfn-diffusion
  ☆35Updated 4 months ago
• harryjo97 / RDLM
  Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling".
  ☆40Updated 5 months ago
• masa-ue / AlignInversePro
  Inference-Time Alignment in Protein Diffusion Models
  ☆42Updated 7 months ago
• zhaoyl18 / SEIKO
  SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…
  ☆23Updated last year
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆123Updated 5 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆36Updated last year
• ozekri / SEPO
  Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"
  ☆27Updated 3 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆50Updated 8 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• ling-pan / GAFN
  ☆24Updated last year
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• machinestein / GNOT
  Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
  ☆18Updated 11 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆88Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆65Updated 5 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆42Updated last year
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆55Updated last year
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆35Updated last year
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆47Updated 2 years ago
• liusulin / DDPD
  Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]
  ☆72Updated 4 months ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆37Updated 10 months ago
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆62Updated 2 years ago
• yilundu / ired_code_release
  ☆69Updated last year
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• masa-ue / RLfinetuning_Diffusion_Bioseq
  Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…
  ☆145Updated 11 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆24Updated last year
• ZibinDong / diffusion_models_minimal_tutorial
  ☆24Updated last year
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆24Updated last year
• Cranial-XIX / longhorn
  Official PyTorch Implementation of the Longhorn Deep State Space Model
  ☆54Updated 8 months ago