Vchitect / LiteGen
A light-weight and high-efficient training framework for accelerating diffusion tasks.
☆46Updated 7 months ago
Alternatives and similar repositories for LiteGen:
Users that are interested in LiteGen are comparing it to the libraries listed below
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆144Updated 5 months ago
- ☆84Updated 4 months ago
- ☆58Updated 4 months ago
- An Efficient Text-to-Image Generation Pretrain Pipeline☆99Updated 3 weeks ago
- Implementation of SmoothCache, a project aimed at speeding-up Diffusion Transformer (DiT) based GenAI models with error-guided caching.☆42Updated 3 weeks ago
- DiT for VAE (and Video Generation)☆33Updated 7 months ago
- ☆63Updated 8 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆47Updated last week
- Memory Efficient Training Framework for Large Video Generation Model☆25Updated 11 months ago
- minisora-DiT, a DiT reproduction based on XTuner from the open source community MiniSora☆41Updated last year
- ☆102Updated 9 months ago
- Finetuning and inference tools for the CogView4 and CogVideoX model series.☆38Updated this week
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆208Updated 3 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆70Updated 9 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆43Updated 2 months ago
- Official implementation of MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis☆83Updated 9 months ago
- Blending Custom Photos with Video Diffusion Transformers☆47Updated 2 months ago
- ☆166Updated this week
- T2VScore: Towards A Better Metric for Text-to-Video Generation☆80Updated last year
- LLaVA combines with Magvit Image tokenizer, training MLLM without an Vision Encoder. Unifying image understanding and generation.☆35Updated 9 months ago
- Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think!☆99Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆100Updated 9 months ago
- The official implementation of Latte: Latent Diffusion Transformer for Video Generation.☆33Updated last month
- Official Implementation of "LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis"☆54Updated last week
- Official Implementation of HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing☆27Updated 4 months ago
- Vico: Compositional Video Generation as Flow Equalization☆58Updated 5 months ago
- TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation☆30Updated 4 months ago
- The official implementation of Distribution Backtracking Distillation for One-step Diffusion Models☆28Updated 2 months ago
- ☆78Updated last week
- 🏞️ Official implementation of "Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition"☆107Updated 11 months ago