zhaoyl18 / SEIKOLinks
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.
☆22Updated 11 months ago
Alternatives and similar repositories for SEIKO
Users that are interested in SEIKO are comparing it to the libraries listed below
Sorting:
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆140Updated 9 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆32Updated 8 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆31Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆56Updated 2 months ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆18Updated 4 months ago
- Inference-Time Alignment in Protein Diffusion Models☆40Updated 5 months ago
- Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"☆54Updated last month
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- Derivative-Free, Training-Free, Guidance in Diffusion Models☆13Updated 8 months ago
- Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"☆20Updated 2 months ago
- ☆33Updated last year
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Updated 2 years ago
- ☆22Updated last week
- Code repository for Trajectory Flow Matching☆69Updated 7 months ago
- Simple Guidance Mechanisms for Discrete Diffusion Models☆43Updated 6 months ago
- Learning energy decompositions for partial inference in GFlowNets☆16Updated last year
- QGFN: Controllable Greediness with Action Values - Code☆10Updated last year
- Benchmarks for Model-Based Optimization☆92Updated last year
- ☆24Updated last year
- This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…☆15Updated 2 years ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆70Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆36Updated 3 weeks ago
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆23Updated this week
- ☆17Updated 2 years ago
- Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".☆21Updated 2 weeks ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 10 months ago
- ☆16Updated last year
- Graph Diffusion Policy Optimization☆36Updated last year
- ☆17Updated last year
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆67Updated 2 months ago