Lucky-Lance / TerDiT
TerDiT: Ternary Diffusion Models with Transformers
☆69Updated 10 months ago
Alternatives and similar repositories for TerDiT:
Users that are interested in TerDiT are comparing it to the libraries listed below
- LoRA fine-tune directly on the quantized models.☆27Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆101Updated 9 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆101Updated last year
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆145Updated 5 months ago
- ☆84Updated 4 months ago
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆42Updated last month
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆45Updated 9 months ago
- Official repository for VQDM:Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization paper☆33Updated 7 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆35Updated this week
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆81Updated 5 months ago
- Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening☆57Updated 2 months ago
- The official PyTorch implementation for Improving Long-Text Alignment for Text-to-Image Diffusion Models (LongAlign)☆70Updated this week
- Official PyTorch implementation of paper "Ultra-Resolution Adaptation with Ease".☆92Updated 3 weeks ago
- Vico: Compositional Video Generation as Flow Equalization☆58Updated 5 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆43Updated this week
- ☆160Updated 3 months ago
- Official codebase for Margin-aware Preference Optimization for Aligning Diffusion Models without Reference (MaPO).☆73Updated 10 months ago
- Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think!☆105Updated last month
- The official implementation of Distribution Backtracking Distillation for One-step Diffusion Models☆28Updated 3 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆48Updated 3 weeks ago
- CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method☆27Updated last year
- [WACV 2025] MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning☆85Updated last week
- [NeurIPS'2024] Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps☆93Updated 9 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆59Updated 10 months ago
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆46Updated 7 months ago
- Distilling Diversity and Control in Diffusion Models☆37Updated last month
- An Efficient Text-to-Image Generation Pretrain Pipeline☆103Updated last week
- ☆83Updated 8 months ago
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆140Updated 2 months ago
- ☆60Updated 4 months ago