tzco / Diffusion-wo-CFGLinks
Official Implementation for Diffusion Models Without Classifier-free Guidance
☆166Updated 10 months ago
Alternatives and similar repositories for Diffusion-wo-CFG
Users that are interested in Diffusion-wo-CFG are comparing it to the libraries listed below
Sorting:
- [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.☆167Updated 6 months ago
- FACM: Flow-Anchored Consistency Models☆135Updated 5 months ago
- [CVPR2025] PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Noise-Free Framework for Cross-Mo…☆325Updated 7 months ago
- [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need☆243Updated 9 months ago
- [Preprint] UCGM: Unified Continuous Generative Models☆174Updated 7 months ago
- PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)☆145Updated 9 months ago
- Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"☆88Updated 8 months ago
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆163Updated 11 months ago
- [ICCV 2025] Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers☆435Updated last month
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆241Updated 2 months ago
- The aim of this repository is to test and implement Flow-Matching-based models☆120Updated 11 months ago
- Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation☆94Updated last month
- [ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/To…☆150Updated 5 months ago
- ☆187Updated last year
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆103Updated 5 months ago
- [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'☆73Updated 5 months ago
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆163Updated 8 months ago
- ☆50Updated 6 months ago
- [ECCV2024] "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu☆58Updated last year
- Official Github Repo for Neurips 2024 Paper Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment☆62Updated 7 months ago
- ☆295Updated 7 months ago
- Scalable Diffusion Models with State Space Backbone☆156Updated last year
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN-type Discrimination☆109Updated 5 months ago
- [ICCV 2025] Official Implementation of Contrastive Flow Matching☆153Updated 6 months ago
- PyTorch re-implementation for MeanFlow☆115Updated 5 months ago
- Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"☆257Updated 11 months ago
- My Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf☆94Updated last year
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆127Updated last year
- Transition Models☆140Updated 3 months ago
- PixNerd: Pixel Neural Field Diffusion☆151Updated last month